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Claude Fable model by Anthropic

Claude Fable 5.1

Claude Fable release for demanding reasoning and long-horizon agentic work, with stronger agentic coding, multistep research, and document, spreadsheet, and slide work.

Official page

Where it sits in Anthropic's lineup

  1. Claude HaikuAnthropic's small, fast Claude model family for high-volume, latency-sensitive work.Claude Haiku 5.5
  2. Claude SonnetAnthropic's balanced Claude model family.Claude Sonnet 5.5
  3. Claude OpusAnthropic's high-capability Claude model family.Claude Opus 5.5
  4. Claude FableAnthropic's Claude family for demanding reasoning and long-horizon agentic work.This model
Stack role
Foundation Model / Reasoning Engine
Offered in
8 products
Made by
Anthropic
Family
Claude Fable, version 5.1
Released
Sep 1, 2026 Current
Lifecycle
  • Claude API, Claude Platform on AWS, Google Cloud (Anthropic managed) and Microsoft Foundry: Active, with retirement not sooner than Sep 1, 2027, per Anthropic.
  • Google Cloud Vertex AI (Google managed): Generally available, with retirement not sooner than Mar 1, 2027, per Google Cloud.
  • GitHub Copilot: Generally available, and off by default on Copilot Business and Enterprise because GitHub's data retention agreement does not cover it, per GitHub.
In its family
The newest of 2 Claude Fable releases.

Strengths and weaknesses

Compare with other models Up to 3 beside Claude Fable 5.1

  • Claude Fable 5.1

Suggested comparisons

The models a buyer weighs against Claude Fable 5.1, picked on list price and on Artificial Analysis's Intelligence Index of overall quality. Add one to draw it beside Claude Fable 5.1.

Claude Fable 5.1AnthropicThis page, always on the chart

Among the 40 current releases on this chart, Claude Fable 5.1 ranks first of 30 on Factuality, second of 38 on Hard reasoning and second of 37 on Code. On Computer use, Anthropic's own figures on OSWorld 2.1 put Claude Fable 5.1 6.7 points above Claude Opus 5. Science is Vals.ai's run on GPQA Diamond and Multimodal is Moonshot AI's run on MMMU-Pro, marked on the chart. Instruction following: not yet published by Anthropic or any independent evaluator, checked Nov 2, 2026.

Each axis is one public benchmark at one setting, on its own fixed 0 to 100 scale, so adding a model never moves another. A dotted bridge crosses a missing result, which is never a zero. A hollow mark is a result from another source: the maker's own figure or another lab's run, where the benchmark's usual source has not tested the model yet. The readout names it.

On the chart

  • Claude Fable 5.1This pageResults on 11 of 12 axes$10 / $5066 tokens/sFirst token in 132 s

Prices and speeds read between Oct 26, 2026 and Oct 28, 2026.

Claude Fable 5.1 on each axis11 of 12 with a result

Beside the benchmarks

Cost, speed, capacity, quality and accuracy for Claude Fable 5.1, with where each figure sits among the 40 models GILD tracks. These measures stand beside the chart and never feed it.

Cost

$7.63per task

Cost per task. One Intelligence Index task at list price, every token counted. Run at max effort.

Speed

70tokens a second

Output speed. How fast it writes once the answer starts. Run at max effort.

First token
181 s
Whole answer
188 s

Capacity

1Mtokens

Context window. The most one request can hold, as the maker states it.

Max output
128K
Reads
Text, Images

Quality

53.4of 100

Intelligence Index. One composite score across independent evaluations. Run at max effort.

GDPval knowledge work
1,755 Elo
Terminal-Bench 4.0
52.0%
Epoch Capabilities Index
166

Hallucination

70.0%wrong when it should say “I don’t know”

Hallucination rate. Of the questions it can't get right, how often it answers anyway. Lower is better. Run at max effort.

Knowledge accuracy
68.4%

Where you can get it

14of 19 routes

Routes offering it. Of the clouds, gateways and coding products GILD tracks, those offering it today.

Open weights
No
Licence
Commercial Terms of Service
Every route and price

Figures from Artificial Analysis, Anthropic, OpenRouter, Epoch AI and GILD's route matrix, read Oct 26 to Nov 1, 2026. Each measure's definition and source open under . Not yet published for Claude Fable 5.1: Cached input.

Every value with its benchmark, run and source

Claude Fable 5.1's result on each axis, with the benchmark, the setting and run, who reported it, the source and the date
AxisBenchmark and settingClaude Fable 5.1RunSourceDate
Agentic codingTerminal-Bench 4.0Pass@1 averaged over 3 runs, mini-swe-agent harness58.1%Claude Fable 5.1Effort: not published. Harness: mini-swe-agent.Vals.aiOct 24, 2026
CodeSciCodeSubproblem accuracy, pass@1, highest effort run. Artificial Analysis tested Fable 5.1 as Anthropic serves it by default, with its safeguard fallback model on.63.1%Claude Fable 5.1 (Max, Default Fallback)Effort: max. Harness: none.Run as Anthropic serves it by default: requests its safeguards stop are answered by a fallback model.Artificial AnalysisOct 28, 2026
MathFrontierMath Tiers 1-3Accuracy, pass@1, highest effort run90.2%Effort: max. Harness: none.Epoch AISep 1, 2026
ScienceGPQA DiamondAccuracy, pass@1, highest effort run. Vals.ai's run at max effort, ranked 9th on its GPQA Diamond board, last updated September 1, 2026, before Vals archived the board.93.4%Claude Fable 5.1Effort: max. Harness: none.Not drawn: Artificial Analysis 93.7% in another lab's harness, Oct 28, 2026. SourceVals.aiRun by Vals.aiSep 1, 2026
Hard reasoningHumanity's Last ExamAccuracy, text-only questions, no tools. Artificial Analysis tested Fable 5.1 as Anthropic serves it by default, with its safeguard fallback model on.59.1%Claude Fable 5.1 (Max, Default Fallback)Effort: max. Harness: none.Run as Anthropic serves it by default: requests its safeguards stop are answered by a fallback model.Artificial AnalysisOct 28, 2026
Tool useAutomationBench-AAScore, Artificial Analysis run. Artificial Analysis tested Fable 5.1 as Anthropic serves it by default, with its safeguard fallback model on.59.4%Claude Fable 5.1 (Max, Default Fallback)Effort: max. Harness: Artificial Analysis AutomationBench harness.Run as Anthropic serves it by default: requests its safeguards stop are answered by a fallback model.Artificial AnalysisOct 28, 2026
Computer useOSWorld 2.1Partial score, full 108-task set, v2.1 release. Anthropic's own run on the v2.1 tasks, averaged over five runs. It replaces the 77.9% in the Fable 5.1 system card, which used the August 2026 task set.80.7%Claude Fable 5.1 (max)Effort: max. Harness: Anthropic computer-use harness.Not drawn: Anthropic 77.9% in its maker's own harness, Sep 1, 2026. SourceAnthropicReported by AnthropicSep 22, 2026
Long contextAA-LCR v1.1Accuracy, Artificial Analysis run. Artificial Analysis tested Fable 5.1 as Anthropic serves it by default, with its safeguard fallback model on.85.3%Claude Fable 5.1 (Max, Default Fallback)Effort: max. Harness: none.Run as Anthropic serves it by default: requests its safeguards stop are answered by a fallback model.Artificial AnalysisOct 28, 2026
MultimodalMMMU-ProOverall accuracy, no tools. Moonshot AI's run at max effort with Anthropic's fallback on, from the Kimi K3.1 Pro launch table, by the official MMMU-Pro protocol. Artificial Analysis has not run it.86.3%Claude Fable 5.1 (max, with fallback)Effort: max. Harness: none.The model as Anthropic's API serves it by default: Claude 5 safeguards answer some requests through a fallback modelNot drawn: Vals.ai 90.6% at another setting, Sep 1, 2026. SourceMoonshot AIRun by Moonshot AIOct 23, 2026
FactualityAA-Omniscience AccuracyAccuracy, Artificial Analysis run. Artificial Analysis tested Fable 5.1 as Anthropic serves it by default, with its safeguard fallback model on.68.4%Hallucination rate 70% in the same run (lower is better)Claude Fable 5.1 (Max, Default Fallback)Effort: max. Harness: none.Run as Anthropic serves it by default: requests its safeguards stop are answered by a fallback model.Artificial AnalysisOct 28, 2026
Answers in fullSpeechMap% Complete over 2,120 contested requests, reasoning-on entry. With reasoning on, SpeechMap counted 15.1% of requests denied. Another 11.1% failed at the provider and count against the score, far more than any other Claude release.72.4%11.1% of requests failed at the provider and count against itEffort: reasoning on. Harness: none.SpeechMap.AIOct 27, 2026
Instruction followingMultiChallengeAccuracy, Scale AI runNot yet published by Anthropic or any independent evaluator, checked Nov 2, 2026

Price and speed

  • Claude Fable 5.1 lists at $10 per million input tokens and $50 per million output tokens. Anthropic pricing, Oct 26, 2026.
  • Claude Fable 5.1, at max effort, writes 66.4 output tokens per second on Anthropic's API, and its first token arrives 132 s after the request. Artificial Analysis, Oct 28, 2026.
  • Fastest on the chart is the shortest time to a 500-token answer: time to first token plus 500 tokens at the median output speed.

Every model with a result, axis by axis

57 models. A maker's own figure and another lab's run are marked with their benchmark; a missing result reads "Not yet published", never zero.

The result of every model GILD has benchmark results for, on each of the 12 axes. A vendor-reported value is marked. A model's run notes open under its row from its name, each with the axes it covers.
ModelAgentic codingCodeMathScienceHard reasoningTool useComputer useLong contextMultimodalFactualityAnswers in fullInstructions
Claude Fable 5.158.1%63.1%90.2%93.4%Run by Vals.ai59.1%59.4%80.7%Reported by Anthropic85.3%86.3%Run by Moonshot AI68.4%72.4%Not yet published
Claude Haiku 5.536.4%55%75.1%89.6%44.4%35.4%72.4%Reported by AnthropicOSWorld 2.182.7%Not yet published34.7%78.8%67.7%
Claude Sonnet 5.564.1%61%88.8%95.6%55%71.8%80.1%Reported by Anthropic82.7%Not yet published51.5%81.6%Not yet published
Claude Opus 5.565.2%66.9%91.2%90.6%61.4%69.5%81.8%Reported by Anthropic84.7%87.7%65.5%82.8%Not yet published
Claude Opus 553.5%56.4%85.6%93.9%54.9%56.6%77.7%79.3%84.7%60.9%73.7%Not yet published
Claude Sonnet 510.6%54.3%65.6%80.3%41.3%36.5%57%Reported by Anthropic82%77.3%40.1%Not yet publishedNot yet published
Claude Fable 541.4%61%87%85.9%55.5%54.1%Not yet published82.3%Not yet published65.4%64.8%63.5%Run by Artificial AnalysisIFBench
Claude Opus 4.823.2%54.4%80%91%48.7%45.6%54.8%Run by OSWorld teamOSWorld 2.077.7%Not yet published48.8%67.4%62.2%Run by Artificial AnalysisIFBench
Claude Opus 4.7Not yet published54.5%70.2%86.4%42.3%Not yet published48.9%Run by OSWorld teamOSWorld 2.078.7%78.8%48.9%70.2%58.6%Run by Artificial AnalysisIFBench
Claude Sonnet 4.63%Run by Artificial AnalysisTerminal-Bench 4.050.1%71.1%Run by Epoch AIOTIS Mock AIME 2024-202578.8%33.6%20.1%41.5%Run by OSWorld teamOSWorld 2.080%73.3%40.9%35.8%56.6%Run by Artificial AnalysisIFBench
Claude Opus 4.6Not yet publishedNot yet published66%88.4%39.9%Not yet publishedNot yet published78%75.4%47%59.9%37.2%
Claude Opus 4.5Not yet publishedNot yet published34.4%86%30.1%Not yet publishedNot yet published77.3%74%46.6%57.5%59%
Claude Haiku 4.5Not yet published42.2%66.7%Run by Epoch AIOTIS Mock AIME 2024-202571.2%10.4%3.2%Not yet published74.3%58.6%18%24.7%50.5%
Claude Sonnet 4.5Not yet published45.7%23.9%82.3%17.8%14.1%Not yet published72.3%68.7%32.9%31.4%55.3%
GPT-6.1 Terra49.5%55.1%90.9%94.3%46.2%60.2%74.2%Reported by OpenAIOSWorld 2.182.7%84.7%47.6%Not yet published74.2%
GPT-6.1 Sol55.1%54.2%93.7%95.4%52.9%64.9%78%Reported by OpenAIOSWorld 2.183%86%61.8%69.5%82%
GPT-6 Luna13.6%54.6%78.9%90.5%38.5%53.2%48.9%Run by AnthropicOSWorld 2.183.3%79.7%39.6%63.4%Not yet published
GPT-6 Astra59.6%56.5%93.7%95.8%54.7%68.5%75.8%Run by Meta80.7%86.9%61.6%68.2%Not yet published
GPT-5.6 Sol37.9%57.1%89.1%93.5%49.5%60.1%62.7%Run by OSWorld teamOSWorld 2.084%83.4%69.7%Run by Epoch AISimpleQA VerifiedNot yet published72.7%Run by Artificial AnalysisIFBench
GPT-5.6 Terra22.7%55%86%93.3%42.9%59.6%Not yet published83%80.7%42.3%Not yet published71.2%Run by Artificial AnalysisIFBench
GPT-5.6 Luna11.6%53.6%82.1%91.6%39.5%50.2%Not yet published83.7%78.6%41%Run by Epoch AISimpleQA VerifiedNot yet publishedNot yet published
GPT-5.514.6%Run by Artificial AnalysisTerminal-Bench 4.055.8%85.3%93.5%Run by Artificial Analysis45.8%47.3%49.5%Run by OSWorld teamOSWorld 2.084.3%79.9%63%Run by Epoch AISimpleQA VerifiedNot yet published75.9%Run by Artificial AnalysisIFBench
GPT-5.4Not yet publishedNot yet published78.6%93.3%43.7%Not yet publishedNot yet published82%78.4%Not yet publishedNot yet published73.9%Run by Artificial AnalysisIFBench
gpt-oss-120b14.2%Run by Terminal-Bench (via Epoch AI)Terminal-Bench 2.034%88.9%Run by Epoch AIOTIS Mock AIME 2024-202575.8%19.6%0.2%Not yet published52%Not yet published16.8%Reported by OpenAISimpleQA36.3%45.3%
GPT-6 Sol44.4%57.6%89.8%94.3%47.9%61.6%64.4%Reported by OpenAIOSWorld 2.083.7%82.9%54.5%64%Not yet published
GPT-5.3-CodexNot yet publishedNot yet publishedNot yet published91.5%Run by Artificial Analysis42.5%Not yet publishedNot yet published83.3%78.5%Not yet publishedNot yet published75.4%Run by Artificial AnalysisIFBench
Gemini 4 Argon57.6%61.8%86%96.4%57.1%77.5%69.2%Reported by GoogleOSWorld 2.079.7%Not yet published48.3%87%78.7%
Gemini 3.8 Flash19.7%56.6%68.4%95.4%47.8%59.9%59%Reported by GoogleOSWorld 2.081.3%85.6%50.5%86.1%Not yet published
Gemma 4 31BNot yet published45.5%Not yet published85.7%Run by Artificial AnalysisGPQA Diamond23.6%4.9%Not yet published69.7%73.4%10.4%Run by Epoch AISimpleQA Verified82.3%75.6%Run by Artificial AnalysisIFBench
Gemini 3.1 Pro Preview2.5%58.7%59.6%94.4%47%35.4%Not yet published82%82.4%54.9%59.9%71.4%
Gemini 3.6 Flash7.1%Run by Artificial AnalysisTerminal-Bench 4.053.4%58.9%94.1%40.8%53%83%Reported by GoogleOSWorld-Verified80%83.2%66.2%Run by Epoch AISimpleQA Verified87.2%Not yet published
DeepSeek V4.1 Flash31.8%55.9%71.2%93.2%43.3%66.6%69.3%Run by Moonshot AIOSWorld 2.182.7%80.6%39.6%Not yet published74.9%
DeepSeek V4 Pro14.1%51%64.6%91.7%41%56.7%Not yet published80.3%Not yet published45.2%72%Not yet published
Kimi K3.1 Pro63.6%60.8%Not yet published94.2%Reported by Moonshot AI52.5%73.3%79.6%Reported by Moonshot AIOSWorld 2.186.3%83.9%48.9%Not yet publishedNot yet published
Kimi K317.2%59.5%72.2%93.1%46.9%58.3%Not yet published88.7%80.5%50.6%Run by Epoch AISimpleQA Verified65.9%Not yet published
Kimi K2.7 Code1%Run by Artificial AnalysisTerminal-Bench 4.047.8%54%87.9%35%24.5%Not yet published79.3%Not yet published36.5%Run by Epoch AISimpleQA VerifiedNot yet published63.1%Run by Artificial AnalysisIFBench
Mistral Large 424.7%Run by Artificial AnalysisTerminal-Bench 4.0Not yet publishedNot yet publishedNot yet publishedNot yet published57.8%Not yet publishedNot yet publishedNot yet published26%Not yet publishedNot yet published
Mistral Medium 3.50%Run by Artificial AnalysisTerminal-Bench 4.040.2%Not yet published74.8%Run by Artificial AnalysisGPQA Diamond13.8%6.3%Not yet published69.3%64.9%23%70.5%68.8%Run by Artificial AnalysisIFBench
Grok 4.728.8%57.4%53%92.7%43.1%65.6%Not yet published76.7%Not yet published42.7%64.1%Not yet published
Grok 4.617.2%56.5%66%93.2%42.9%66.7%Not yet published80.3%Not yet published48.9%Run by Epoch AISimpleQA Verified83.6%Not yet published
Grok 4.58.6%55%57.2%93.4%42.7%57.9%Not yet published79.3%80.4%48.3%Run by Epoch AISimpleQA Verified93.1%Not yet published
MiniMax M3.1 Flash25.3%53.4%Not yet publishedNot yet published48%72.5%61.7%Reported by MiniMaxOSWorld 2.079.7%79.1%45.1%Not yet publishedNot yet published
Mercury 33%Not yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet publishedNot yet published
GLM-5.3-Flash37.4%51.6%55.8%90.2%39.9%60.4%59.1%Reported by Z.aiOSWorld 2.080%86%Run by Vals.aiMMMU-Pro28.2%65.4%Not yet published
GLM-5.338.9%59%68.8%90.9%42.3%62.2%Not yet published79.7%Not yet published32.3%71.5%Not yet published
GLM-5.21%Run by Artificial AnalysisTerminal-Bench 4.051.2%59.2%Not yet published41.1%28.4%Not yet published78.3%Not yet published34.2%Run by Epoch AISimpleQA VerifiedNot yet published73.3%Run by Artificial AnalysisIFBench
Muse Spark Open6.6%58.4%69.8%88.6%43.9%49.7%80.4%Reported by MetaOSWorld-Verified78.3%80.9%42%Not yet published74.2%
Muse Wonder49.5%60.3%82.1%Not yet published50.1%68.1%72.6%Reported by Meta80.7%Not yet published38%42.7%Not yet published
Muse Spark 1.310.6%58.8%74%93.5%Run by Artificial AnalysisGPQA Diamond48.7%57.9%69.6%83%82%38%25.8%Not yet published
Llama 4 ScoutNot yet published21.3%7.8%Run by Epoch AIOTIS Mock AIME 2024-202551.8%3.8%0.2%Not yet published27.7%52.9%Not yet published70.1%39.5%Run by Artificial AnalysisIFBench
Llama 4 MaverickNot yet published31.7%20.6%Run by Epoch AIOTIS Mock AIME 2024-202567%4.9%0.2%Not yet published50%62.1%Not yet published58.3%43%Run by Artificial AnalysisIFBench
Qwen3.8 27B5.6%Run by Artificial AnalysisTerminal-Bench 4.046.6%Not yet published90.5%Run by Artificial AnalysisGPQA Diamond33.9%48.2%84.3%Reported by AlibabaOSWorld-Verified82%76.3%17.3%Not yet published79.5%Reported by AlibabaIFBench
Qwen3.8 Max38.9%52.1%65.6%92.3%43.1%56.2%Not yet published80.3%82.8%29.5%65.3%Not yet published
MiMo-V2.6-Pro31.3%60.9%Not yet publishedNot yet published49.4%58.6%82%Reported by XiaomiOSWorld-Verified86.3%Not yet published34.8%66.5%Not yet published
MiMo-V2.6-Flash24.2%51.3%Not yet publishedNot yet published35.1%64.1%80.8%Reported by XiaomiOSWorld-Verified74.3%73.1%27.2%66.9%Not yet published
Ling 3.1 Flash32.8%Run by Artificial AnalysisTerminal-Bench 4.056.8%Not yet publishedNot yet published43.5%67.5%Not yet published82.3%Not yet published26.5%Not yet publishedNot yet published
Step 5 Preview31.8%58.9%Not yet published93.5%Reported by StepFunGPQA Diamond46.5%51%Not yet published88.3%76.4%36.4%59.7%Not yet published

Agentic codingTerminal-Bench 4.0

  1. Claude Opus 5.565.2%
  2. Claude Sonnet 5.564.1%
  3. Kimi K3.1 Pro63.6%
  4. GPT-6 Astra59.6%
  5. Claude Fable 5.158.1%
  6. Gemini 4 Argon57.6%
  7. GPT-6.1 Sol55.1%
  8. Claude Opus 553.5%
  9. GPT-6.1 Terra49.5%
  10. Muse Wonder49.5%
  11. GPT-6 Sol44.4%
  12. Claude Fable 541.4%
  13. GLM-5.338.9%
  14. Qwen3.8 Max38.9%
  15. GPT-5.6 Sol37.9%
  16. GLM-5.3-Flash37.4%
  17. Claude Haiku 5.536.4%
  18. DeepSeek V4.1 Flash31.8%
  19. Step 5 Preview31.8%
  20. MiMo-V2.6-Pro31.3%
  21. Grok 4.728.8%
  22. MiniMax M3.1 Flash25.3%
  23. MiMo-V2.6-Flash24.2%
  24. Claude Opus 4.823.2%
  25. GPT-5.6 Terra22.7%
  26. Gemini 3.8 Flash19.7%
  27. Kimi K317.2%
  28. Grok 4.617.2%
  29. DeepSeek V4 Pro14.1%
  30. GPT-6 Luna13.6%
  31. GPT-5.6 Luna11.6%
  32. Claude Sonnet 510.6%
  33. Muse Spark 1.310.6%
  34. Grok 4.58.6%
  35. Muse Spark Open6.6%
  36. Mercury 33%
  37. Gemini 3.1 Pro Preview2.5%
  38. Ling 3.1 Flash32.8%Artificial Analysis's run, Terminal-Bench 4.0
  39. Mistral Large 424.7%Artificial Analysis's run, Terminal-Bench 4.0
  40. GPT-5.514.6%Artificial Analysis's run, Terminal-Bench 4.0
  41. gpt-oss-120b14.2%Terminal-Bench's run, Terminal-Bench 2.0
  42. Gemini 3.6 Flash7.1%Artificial Analysis's run, Terminal-Bench 4.0
  43. Qwen3.8 27B5.6%Artificial Analysis's run, Terminal-Bench 4.0
  44. Claude Sonnet 4.63%Artificial Analysis's run, Terminal-Bench 4.0
  45. Kimi K2.7 Code1%Artificial Analysis's run, Terminal-Bench 4.0
  46. GLM-5.21%Artificial Analysis's run, Terminal-Bench 4.0
  47. Mistral Medium 3.50%Artificial Analysis's run, Terminal-Bench 4.0

The other models in the grid have no result on Terminal-Bench 4.0 yet.

CodeSciCode

  1. Claude Opus 5.566.9%
  2. Claude Fable 5.163.1%
  3. Gemini 4 Argon61.8%
  4. Claude Sonnet 5.561%
  5. Claude Fable 561%
  6. MiMo-V2.6-Pro60.9%
  7. Kimi K3.1 Pro60.8%
  8. Muse Wonder60.3%
  9. Kimi K359.5%
  10. GLM-5.359%
  11. Step 5 Preview58.9%
  12. Muse Spark 1.358.8%
  13. Gemini 3.1 Pro Preview58.7%
  14. Muse Spark Open58.4%
  15. GPT-6 Sol57.6%
  16. Grok 4.757.4%
  17. GPT-5.6 Sol57.1%
  18. Ling 3.1 Flash56.8%
  19. Gemini 3.8 Flash56.6%
  20. GPT-6 Astra56.5%
  21. Grok 4.656.5%
  22. Claude Opus 556.4%
  23. DeepSeek V4.1 Flash55.9%
  24. GPT-5.555.8%
  25. GPT-6.1 Terra55.1%
  26. Claude Haiku 5.555%
  27. GPT-5.6 Terra55%
  28. Grok 4.555%
  29. GPT-6 Luna54.6%
  30. Claude Opus 4.754.5%
  31. Claude Opus 4.854.4%
  32. Claude Sonnet 554.3%
  33. GPT-6.1 Sol54.2%
  34. GPT-5.6 Luna53.6%
  35. Gemini 3.6 Flash53.4%
  36. MiniMax M3.1 Flash53.4%
  37. Qwen3.8 Max52.1%
  38. GLM-5.3-Flash51.6%
  39. MiMo-V2.6-Flash51.3%
  40. GLM-5.251.2%
  41. DeepSeek V4 Pro51%
  42. Claude Sonnet 4.650.1%
  43. Kimi K2.7 Code47.8%
  44. Qwen3.8 27B46.6%
  45. Claude Sonnet 4.545.7%
  46. Gemma 4 31B45.5%
  47. Claude Haiku 4.542.2%
  48. Mistral Medium 3.540.2%
  49. gpt-oss-120b34%
  50. Llama 4 Maverick31.7%
  51. Llama 4 Scout21.3%

The other models in the grid have no result on SciCode yet.

MathFrontierMath Tiers 1-3

  1. GPT-6.1 Sol93.7%
  2. GPT-6 Astra93.7%
  3. Claude Opus 5.591.2%
  4. GPT-6.1 Terra90.9%
  5. Claude Fable 5.190.2%
  6. GPT-6 Sol89.8%
  7. GPT-5.6 Sol89.1%
  8. Claude Sonnet 5.588.8%
  9. Claude Fable 587%
  10. GPT-5.6 Terra86%
  11. Gemini 4 Argon86%
  12. Claude Opus 585.6%
  13. GPT-5.585.3%
  14. GPT-5.6 Luna82.1%
  15. Muse Wonder82.1%
  16. Claude Opus 4.880%
  17. GPT-6 Luna78.9%
  18. GPT-5.478.6%
  19. Claude Haiku 5.575.1%
  20. Muse Spark 1.374%
  21. Kimi K372.2%
  22. DeepSeek V4.1 Flash71.2%
  23. Claude Opus 4.770.2%
  24. Muse Spark Open69.8%
  25. GLM-5.368.8%
  26. Gemini 3.8 Flash68.4%
  27. Claude Opus 4.666%
  28. Grok 4.666%
  29. Claude Sonnet 565.6%
  30. Qwen3.8 Max65.6%
  31. DeepSeek V4 Pro64.6%
  32. Gemini 3.1 Pro Preview59.6%
  33. GLM-5.259.2%
  34. Gemini 3.6 Flash58.9%
  35. Grok 4.557.2%
  36. GLM-5.3-Flash55.8%
  37. Kimi K2.7 Code54%
  38. Grok 4.753%
  39. Claude Opus 4.534.4%
  40. Claude Sonnet 4.523.9%
  41. gpt-oss-120b88.9%Epoch AI's run, OTIS Mock AIME 2024-2025
  42. Claude Sonnet 4.671.1%Epoch AI's run, OTIS Mock AIME 2024-2025
  43. Claude Haiku 4.566.7%Epoch AI's run, OTIS Mock AIME 2024-2025
  44. Llama 4 Maverick20.6%Epoch AI's run, OTIS Mock AIME 2024-2025
  45. Llama 4 Scout7.8%Epoch AI's run, OTIS Mock AIME 2024-2025

The other models in the grid have no result on FrontierMath Tiers 1-3 yet.

ScienceGPQA Diamond

  1. Gemini 4 Argon96.4%
  2. GPT-6 Astra95.8%
  3. Claude Sonnet 5.595.6%
  4. GPT-6.1 Sol95.4%
  5. Gemini 3.8 Flash95.4%
  6. Gemini 3.1 Pro Preview94.4%
  7. GPT-6.1 Terra94.3%
  8. GPT-6 Sol94.3%
  9. Gemini 3.6 Flash94.1%
  10. Claude Opus 593.9%
  11. GPT-5.6 Sol93.5%
  12. Grok 4.593.4%
  13. GPT-5.6 Terra93.3%
  14. GPT-5.493.3%
  15. DeepSeek V4.1 Flash93.2%
  16. Grok 4.693.2%
  17. Kimi K393.1%
  18. Grok 4.792.7%
  19. Qwen3.8 Max92.3%
  20. DeepSeek V4 Pro91.7%
  21. GPT-5.6 Luna91.6%
  22. Claude Opus 4.891%
  23. GLM-5.390.9%
  24. Claude Opus 5.590.6%
  25. GPT-6 Luna90.5%
  26. GLM-5.3-Flash90.2%
  27. Claude Haiku 5.589.6%
  28. Muse Spark Open88.6%
  29. Claude Opus 4.688.4%
  30. Kimi K2.7 Code87.9%
  31. Claude Opus 4.786.4%
  32. Claude Opus 4.586%
  33. Claude Fable 585.9%
  34. Claude Sonnet 4.582.3%
  35. Claude Sonnet 580.3%
  36. Claude Sonnet 4.678.8%
  37. gpt-oss-120b75.8%
  38. Claude Haiku 4.571.2%
  39. Llama 4 Maverick67%
  40. Llama 4 Scout51.8%
  41. Kimi K3.1 Pro94.2%Moonshot AI's own figure
  42. GPT-5.593.5%Artificial Analysis's run
  43. Muse Spark 1.393.5%Artificial Analysis's run, GPQA Diamond
  44. Step 5 Preview93.5%StepFun's own figure, GPQA Diamond
  45. Claude Fable 5.193.4%Vals.ai's run
  46. GPT-5.3-Codex91.5%Artificial Analysis's run
  47. Qwen3.8 27B90.5%Artificial Analysis's run, GPQA Diamond
  48. Gemma 4 31B85.7%Artificial Analysis's run, GPQA Diamond
  49. Mistral Medium 3.574.8%Artificial Analysis's run, GPQA Diamond

The other models in the grid have no result on GPQA Diamond yet.

Hard reasoningHumanity's Last Exam

  1. Claude Opus 5.561.4%
  2. Claude Fable 5.159.1%
  3. Gemini 4 Argon57.1%
  4. Claude Fable 555.5%
  5. Claude Sonnet 5.555%
  6. Claude Opus 554.9%
  7. GPT-6 Astra54.7%
  8. GPT-6.1 Sol52.9%
  9. Kimi K3.1 Pro52.5%
  10. Muse Wonder50.1%
  11. GPT-5.6 Sol49.5%
  12. MiMo-V2.6-Pro49.4%
  13. Claude Opus 4.848.7%
  14. Muse Spark 1.348.7%
  15. MiniMax M3.1 Flash48%
  16. GPT-6 Sol47.9%
  17. Gemini 3.8 Flash47.8%
  18. Gemini 3.1 Pro Preview47%
  19. Kimi K346.9%
  20. Step 5 Preview46.5%
  21. GPT-6.1 Terra46.2%
  22. GPT-5.545.8%
  23. Claude Haiku 5.544.4%
  24. Muse Spark Open43.9%
  25. GPT-5.443.7%
  26. Ling 3.1 Flash43.5%
  27. DeepSeek V4.1 Flash43.3%
  28. Grok 4.743.1%
  29. Qwen3.8 Max43.1%
  30. GPT-5.6 Terra42.9%
  31. Grok 4.642.9%
  32. Grok 4.542.7%
  33. GPT-5.3-Codex42.5%
  34. Claude Opus 4.742.3%
  35. GLM-5.342.3%
  36. Claude Sonnet 541.3%
  37. GLM-5.241.1%
  38. DeepSeek V4 Pro41%
  39. Gemini 3.6 Flash40.8%
  40. Claude Opus 4.639.9%
  41. GLM-5.3-Flash39.9%
  42. GPT-5.6 Luna39.5%
  43. GPT-6 Luna38.5%
  44. MiMo-V2.6-Flash35.1%
  45. Kimi K2.7 Code35%
  46. Qwen3.8 27B33.9%
  47. Claude Sonnet 4.633.6%
  48. Claude Opus 4.530.1%
  49. Gemma 4 31B23.6%
  50. gpt-oss-120b19.6%
  51. Claude Sonnet 4.517.8%
  52. Mistral Medium 3.513.8%
  53. Claude Haiku 4.510.4%
  54. Llama 4 Maverick4.9%
  55. Llama 4 Scout3.8%

The other models in the grid have no result on Humanity's Last Exam yet.

Tool useAutomationBench-AA

  1. Gemini 4 Argon77.5%
  2. Kimi K3.1 Pro73.3%
  3. MiniMax M3.1 Flash72.5%
  4. Claude Sonnet 5.571.8%
  5. Claude Opus 5.569.5%
  6. GPT-6 Astra68.5%
  7. Muse Wonder68.1%
  8. Ling 3.1 Flash67.5%
  9. Grok 4.666.7%
  10. DeepSeek V4.1 Flash66.6%
  11. Grok 4.765.6%
  12. GPT-6.1 Sol64.9%
  13. MiMo-V2.6-Flash64.1%
  14. GLM-5.362.2%
  15. GPT-6 Sol61.6%
  16. GLM-5.3-Flash60.4%
  17. GPT-6.1 Terra60.2%
  18. GPT-5.6 Sol60.1%
  19. Gemini 3.8 Flash59.9%
  20. GPT-5.6 Terra59.6%
  21. Claude Fable 5.159.4%
  22. MiMo-V2.6-Pro58.6%
  23. Kimi K358.3%
  24. Grok 4.557.9%
  25. Muse Spark 1.357.9%
  26. Mistral Large 457.8%
  27. DeepSeek V4 Pro56.7%
  28. Claude Opus 556.6%
  29. Qwen3.8 Max56.2%
  30. Claude Fable 554.1%
  31. GPT-6 Luna53.2%
  32. Gemini 3.6 Flash53%
  33. Step 5 Preview51%
  34. GPT-5.6 Luna50.2%
  35. Muse Spark Open49.7%
  36. Qwen3.8 27B48.2%
  37. GPT-5.547.3%
  38. Claude Opus 4.845.6%
  39. Claude Sonnet 536.5%
  40. Claude Haiku 5.535.4%
  41. Gemini 3.1 Pro Preview35.4%
  42. GLM-5.228.4%
  43. Kimi K2.7 Code24.5%
  44. Claude Sonnet 4.620.1%
  45. Claude Sonnet 4.514.1%
  46. Mistral Medium 3.56.3%
  47. Gemma 4 31B4.9%
  48. Claude Haiku 4.53.2%
  49. gpt-oss-120b0.2%
  50. Llama 4 Scout0.2%
  51. Llama 4 Maverick0.2%

The other models in the grid have no result on AutomationBench-AA yet.

Computer useOSWorld 2.1

  1. Claude Opus 577.7%
  2. Muse Spark 1.369.6%
  3. Qwen3.8 27B84.3%Alibaba's own figure, OSWorld-Verified
  4. Gemini 3.6 Flash83%Google's own figure, OSWorld-Verified
  5. MiMo-V2.6-Pro82%Xiaomi's own figure, OSWorld-Verified
  6. Claude Opus 5.581.8%Anthropic's own figure
  7. MiMo-V2.6-Flash80.8%Xiaomi's own figure, OSWorld-Verified
  8. Claude Fable 5.180.7%Anthropic's own figure
  9. Muse Spark Open80.4%Meta's own figure, OSWorld-Verified
  10. Claude Sonnet 5.580.1%Anthropic's own figure
  11. Kimi K3.1 Pro79.6%Moonshot AI's own figure, OSWorld 2.1
  12. GPT-6.1 Sol78%OpenAI's own figure, OSWorld 2.1
  13. GPT-6 Astra75.8%Meta's run
  14. GPT-6.1 Terra74.2%OpenAI's own figure, OSWorld 2.1
  15. Muse Wonder72.6%Meta's own figure
  16. Claude Haiku 5.572.4%Anthropic's own figure, OSWorld 2.1
  17. DeepSeek V4.1 Flash69.3%Moonshot AI's run, OSWorld 2.1
  18. Gemini 4 Argon69.2%Google's own figure, OSWorld 2.0
  19. GPT-6 Sol64.4%OpenAI's own figure, OSWorld 2.0
  20. GPT-5.6 Sol62.7%OSWorld team's run, OSWorld 2.0
  21. MiniMax M3.1 Flash61.7%MiniMax's own figure, OSWorld 2.0
  22. GLM-5.3-Flash59.1%Z.ai's own figure, OSWorld 2.0
  23. Gemini 3.8 Flash59%Google's own figure, OSWorld 2.0
  24. Claude Sonnet 557%Anthropic's own figure
  25. Claude Opus 4.854.8%OSWorld team's run, OSWorld 2.0
  26. GPT-5.549.5%OSWorld team's run, OSWorld 2.0
  27. Claude Opus 4.748.9%OSWorld team's run, OSWorld 2.0
  28. GPT-6 Luna48.9%Anthropic's run, OSWorld 2.1
  29. Claude Sonnet 4.641.5%OSWorld team's run, OSWorld 2.0

The other models in the grid have no result on OSWorld 2.1 yet.

Long contextAA-LCR v1.1

  1. Kimi K388.7%
  2. Step 5 Preview88.3%
  3. Kimi K3.1 Pro86.3%
  4. MiMo-V2.6-Pro86.3%
  5. Claude Fable 5.185.3%
  6. Claude Opus 5.584.7%
  7. GPT-5.584.3%
  8. GPT-5.6 Sol84%
  9. GPT-5.6 Luna83.7%
  10. GPT-6 Sol83.7%
  11. GPT-6 Luna83.3%
  12. GPT-5.3-Codex83.3%
  13. GPT-6.1 Sol83%
  14. GPT-5.6 Terra83%
  15. Muse Spark 1.383%
  16. Claude Haiku 5.582.7%
  17. Claude Sonnet 5.582.7%
  18. GPT-6.1 Terra82.7%
  19. DeepSeek V4.1 Flash82.7%
  20. Claude Fable 582.3%
  21. Ling 3.1 Flash82.3%
  22. Claude Sonnet 582%
  23. GPT-5.482%
  24. Gemini 3.1 Pro Preview82%
  25. Qwen3.8 27B82%
  26. Gemini 3.8 Flash81.3%
  27. GPT-6 Astra80.7%
  28. Muse Wonder80.7%
  29. DeepSeek V4 Pro80.3%
  30. Grok 4.680.3%
  31. Qwen3.8 Max80.3%
  32. Claude Sonnet 4.680%
  33. Gemini 3.6 Flash80%
  34. GLM-5.3-Flash80%
  35. Gemini 4 Argon79.7%
  36. MiniMax M3.1 Flash79.7%
  37. GLM-5.379.7%
  38. Claude Opus 579.3%
  39. Kimi K2.7 Code79.3%
  40. Grok 4.579.3%
  41. Claude Opus 4.778.7%
  42. GLM-5.278.3%
  43. Muse Spark Open78.3%
  44. Claude Opus 4.678%
  45. Claude Opus 4.877.7%
  46. Claude Opus 4.577.3%
  47. Grok 4.776.7%
  48. Claude Haiku 4.574.3%
  49. MiMo-V2.6-Flash74.3%
  50. Claude Sonnet 4.572.3%
  51. Gemma 4 31B69.7%
  52. Mistral Medium 3.569.3%
  53. gpt-oss-120b52%
  54. Llama 4 Maverick50%
  55. Llama 4 Scout27.7%

The other models in the grid have no result on AA-LCR v1.1 yet.

MultimodalMMMU-Pro

  1. Claude Opus 5.587.7%
  2. GPT-6 Astra86.9%
  3. GPT-6.1 Sol86%
  4. Gemini 3.8 Flash85.6%
  5. Claude Opus 584.7%
  6. GPT-6.1 Terra84.7%
  7. Kimi K3.1 Pro83.9%
  8. GPT-5.6 Sol83.4%
  9. Gemini 3.6 Flash83.2%
  10. GPT-6 Sol82.9%
  11. Qwen3.8 Max82.8%
  12. Gemini 3.1 Pro Preview82.4%
  13. Muse Spark 1.382%
  14. Muse Spark Open80.9%
  15. GPT-5.6 Terra80.7%
  16. DeepSeek V4.1 Flash80.6%
  17. Kimi K380.5%
  18. Grok 4.580.4%
  19. GPT-5.579.9%
  20. GPT-6 Luna79.7%
  21. MiniMax M3.1 Flash79.1%
  22. Claude Opus 4.778.8%
  23. GPT-5.6 Luna78.6%
  24. GPT-5.3-Codex78.5%
  25. GPT-5.478.4%
  26. Claude Sonnet 577.3%
  27. Step 5 Preview76.4%
  28. Qwen3.8 27B76.3%
  29. Claude Opus 4.675.4%
  30. Claude Opus 4.574%
  31. Gemma 4 31B73.4%
  32. Claude Sonnet 4.673.3%
  33. MiMo-V2.6-Flash73.1%
  34. Claude Sonnet 4.568.7%
  35. Mistral Medium 3.564.9%
  36. Llama 4 Maverick62.1%
  37. Claude Haiku 4.558.6%
  38. Llama 4 Scout52.9%
  39. Claude Fable 5.186.3%Moonshot AI's run
  40. GLM-5.3-Flash86%Vals.ai's run, MMMU-Pro

The other models in the grid have no result on MMMU-Pro yet.

FactualityAA-Omniscience Accuracy

  1. Claude Fable 5.168.4%
  2. Claude Opus 5.565.5%
  3. Claude Fable 565.4%
  4. GPT-6.1 Sol61.8%
  5. GPT-6 Astra61.6%
  6. Claude Opus 560.9%
  7. Gemini 3.1 Pro Preview54.9%
  8. GPT-6 Sol54.5%
  9. Claude Sonnet 5.551.5%
  10. Gemini 3.8 Flash50.5%
  11. Claude Opus 4.748.9%
  12. Kimi K3.1 Pro48.9%
  13. Claude Opus 4.848.8%
  14. Gemini 4 Argon48.3%
  15. GPT-6.1 Terra47.6%
  16. Claude Opus 4.647%
  17. Claude Opus 4.546.6%
  18. DeepSeek V4 Pro45.2%
  19. MiniMax M3.1 Flash45.1%
  20. Grok 4.742.7%
  21. GPT-5.6 Terra42.3%
  22. Muse Spark Open42%
  23. Claude Sonnet 4.640.9%
  24. Claude Sonnet 540.1%
  25. GPT-6 Luna39.6%
  26. DeepSeek V4.1 Flash39.6%
  27. Muse Wonder38%
  28. Muse Spark 1.338%
  29. Step 5 Preview36.4%
  30. MiMo-V2.6-Pro34.8%
  31. Claude Haiku 5.534.7%
  32. Claude Sonnet 4.532.9%
  33. GLM-5.332.3%
  34. Qwen3.8 Max29.5%
  35. GLM-5.3-Flash28.2%
  36. MiMo-V2.6-Flash27.2%
  37. Ling 3.1 Flash26.5%
  38. Mistral Large 426%
  39. Mistral Medium 3.523%
  40. Claude Haiku 4.518%
  41. Qwen3.8 27B17.3%
  42. GPT-5.6 Sol69.7%Epoch AI's run, SimpleQA Verified
  43. Gemini 3.6 Flash66.2%Epoch AI's run, SimpleQA Verified
  44. GPT-5.563%Epoch AI's run, SimpleQA Verified
  45. Kimi K350.6%Epoch AI's run, SimpleQA Verified
  46. Grok 4.648.9%Epoch AI's run, SimpleQA Verified
  47. Grok 4.548.3%Epoch AI's run, SimpleQA Verified
  48. GPT-5.6 Luna41%Epoch AI's run, SimpleQA Verified
  49. Kimi K2.7 Code36.5%Epoch AI's run, SimpleQA Verified
  50. GLM-5.234.2%Epoch AI's run, SimpleQA Verified
  51. gpt-oss-120b16.8%OpenAI's own figure, SimpleQA
  52. Gemma 4 31B10.4%Epoch AI's run, SimpleQA Verified

The other models in the grid have no result on AA-Omniscience Accuracy yet.

Answers in fullSpeechMap

  1. Grok 4.593.1%
  2. Gemini 3.6 Flash87.2%
  3. Gemini 4 Argon87%
  4. Gemini 3.8 Flash86.1%
  5. Grok 4.683.6%
  6. Claude Opus 5.582.8%
  7. Gemma 4 31B82.3%
  8. Claude Sonnet 5.581.6%
  9. Claude Haiku 5.578.8%
  10. Claude Opus 573.7%
  11. Claude Fable 5.172.4%
  12. DeepSeek V4 Pro72%
  13. GLM-5.371.5%
  14. Mistral Medium 3.570.5%
  15. Claude Opus 4.770.2%
  16. Llama 4 Scout70.1%
  17. GPT-6.1 Sol69.5%
  18. GPT-6 Astra68.2%
  19. Claude Opus 4.867.4%
  20. MiMo-V2.6-Flash66.9%
  21. MiMo-V2.6-Pro66.5%
  22. Kimi K365.9%
  23. GLM-5.3-Flash65.4%
  24. Qwen3.8 Max65.3%
  25. Claude Fable 564.8%
  26. Grok 4.764.1%
  27. GPT-6 Sol64%
  28. GPT-6 Luna63.4%
  29. Claude Opus 4.659.9%
  30. Gemini 3.1 Pro Preview59.9%
  31. Step 5 Preview59.7%
  32. Llama 4 Maverick58.3%
  33. Claude Opus 4.557.5%
  34. Muse Wonder42.7%
  35. gpt-oss-120b36.3%
  36. Claude Sonnet 4.635.8%
  37. Claude Sonnet 4.531.4%
  38. Muse Spark 1.325.8%
  39. Claude Haiku 4.524.7%

The other models in the grid have no result on SpeechMap yet.

Instruction followingMultiChallenge

  1. GPT-6.1 Sol82%
  2. Gemini 4 Argon78.7%
  3. DeepSeek V4.1 Flash74.9%
  4. GPT-6.1 Terra74.2%
  5. Muse Spark Open74.2%
  6. Gemini 3.1 Pro Preview71.4%
  7. Claude Haiku 5.567.7%
  8. Claude Opus 4.559%
  9. Claude Sonnet 4.555.3%
  10. Claude Haiku 4.550.5%
  11. gpt-oss-120b45.3%
  12. Claude Opus 4.637.2%
  13. Qwen3.8 27B79.5%Alibaba's own figure, IFBench
  14. GPT-5.575.9%Artificial Analysis's run, IFBench
  15. Gemma 4 31B75.6%Artificial Analysis's run, IFBench
  16. GPT-5.3-Codex75.4%Artificial Analysis's run, IFBench
  17. GPT-5.473.9%Artificial Analysis's run, IFBench
  18. GLM-5.273.3%Artificial Analysis's run, IFBench
  19. GPT-5.6 Sol72.7%Artificial Analysis's run, IFBench
  20. GPT-5.6 Terra71.2%Artificial Analysis's run, IFBench
  21. Mistral Medium 3.568.8%Artificial Analysis's run, IFBench
  22. Claude Fable 563.5%Artificial Analysis's run, IFBench
  23. Kimi K2.7 Code63.1%Artificial Analysis's run, IFBench
  24. Claude Opus 4.862.2%Artificial Analysis's run, IFBench
  25. Claude Opus 4.758.6%Artificial Analysis's run, IFBench
  26. Claude Sonnet 4.656.6%Artificial Analysis's run, IFBench
  27. Llama 4 Maverick43%Artificial Analysis's run, IFBench
  28. Llama 4 Scout39.5%Artificial Analysis's run, IFBench

The other models in the grid have no result on MultiChallenge yet.

Every measure on record

Cost, speed, reliability, knowledge-work and domain results for Claude Fable 5.1 beyond the twelve chart axes, each with the run it comes from and its publisher. These stay separate measures; none is folded into the chart.

Every measure on record for Claude Fable 5.1: the value, the run it comes from, the publisher and the day it was read
MeasureClaude Fable 5.1RunSourceRead
Specs and access
Context windowThe most tokens one request can hold, as the maker states it. Size alone says nothing about how well the model uses a long input; the Long context axis measures that.1MAnthropic's pricing page: Claude 4.6 and later models, except Claude Haiku 5.5, include the full 1M token context windowAnthropicOct 28, 2026
Max outputThe most tokens the model writes in one response.128Kno Anthropic figure in the stored maker sources; OpenRouter lists 128,000OpenRouterOct 28, 2026
ReadsThe kinds of input the model accepts.Text, ImagesArtificial AnalysisOct 26, 2026
LicenceThe terms the weights or the service are offered under.Commercial Terms of ServiceAnthropicNov 1, 2026
Open weightsWhether the maker publishes the weights for anyone to run.NoArtificial AnalysisOct 26, 2026
Routes offering itOf the 19 clouds, gateways and coding products GILD tracks, how many offer the release today, preview included.14 of 19GILD route matrixOct 28, 2026
Cost
Answer tokens per taskLower is better. Answer tokens per Intelligence Index task, reasoning excluded.30,871Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost per task, cache readsLower is better. The cache-read share of AA's cost per Intelligence Index task.$1.60Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost per task, cache writesLower is better. The cache-write share of AA's cost per Intelligence Index task.$1.86Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost per task, inputLower is better. The input-token share of AA's cost per Intelligence Index task.$3.73Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost per task, outputLower is better. The answer-token share of AA's cost per Intelligence Index task.$3.90Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost per task, reasoningLower is better. The reasoning-token share of AA's cost per Intelligence Index task.$2.36Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost per taskLower is better. What one Intelligence Index task cost AA at list price, input, cache, output and reasoning tokens together.$7.63Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Cost to run the indexLower is better. What the whole Intelligence Index run cost AA at list price. The runs cost from tens of dollars to about $13,000, so the axis is log from $10 to $100,000.$13,129Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Output tokens per taskLower is better. Tokens the model wrote per Intelligence Index task, reasoning included: how verbose it is.78,111Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Reasoning tokens per taskLower is better. Reasoning tokens per Intelligence Index task.47,240Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Speed
End-to-end time, 100K promptLower is better. Median seconds for a whole response with a 100,000-token prompt.199 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
End-to-end response timeLower is better. Seconds AA measures for a whole response on its standard prompt.188 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Time to first answer token, 100K promptLower is better. Median seconds to the first answer token with a 100,000-token prompt.192 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Time to first answer tokenLower is better. Seconds until the first answer token, after any reasoning, on AA's API runs.181 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Output speed, 100K promptMedian output tokens per second when the prompt is about 100,000 tokens long.71 tokens/sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Output speedMedian output tokens per second on AA's API runs, with the 5th and 95th percentile when AA prints them.70 tokens/sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Time per taskLower is better. Wall-clock seconds per Intelligence Index task. Runs take from about 15 s to about 33 min, so the axis is log from 1 s to 10,000 s.722 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Time to first token, 100K promptLower is better. Median seconds to the first chunk when the prompt is about 100,000 tokens long: long-input latency, separate from window size.192 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Time to first tokenLower is better. Median seconds to the first streamed chunk on AA's API runs, with the 5th and 95th percentile when AA prints them. Reasoning models spend this time thinking.181 sClaude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Reliability
Hallucination rateLower is better. AA-Omniscience hallucination rate shows how often the model answers wrongly when it does not know and should decline.70%Max effortArtificial AnalysisOct 28, 2026
Omniscience accuracyShare of AA-Omniscience knowledge questions answered correctly.68.4%Max effortArtificial AnalysisOct 28, 2026
Omniscience indexAA-Omniscience index: correct answers minus wrong answers, declines neutral, -100 to 100.43.5Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
SimpleQA Verified (Epoch)Share of SimpleQA Verified factual questions answered correctly, best scorer, Epoch AI's run. A second factuality source beside AA-Omniscience.70.8%Max effortEpoch AISep 1, 2026
Knowledge work
AA-BriefcaseAA-Briefcase overall Elo for long business deliverables, with AA's 95% interval.1,671Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
AnalystAgent (AA run)AA's AnalystAgent score for analyst workflows.57.5%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
APEX-Agents (maintainers)APEX-Agents pass@1 from the maintainers, as Epoch AI republishes it.59.7%High effortMercor (via Epoch AI)Oct 26, 2026
GDP-PDF (AA run)Share of GDP-PDF document tasks where every check passes.26.2%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
GDPval-AAGDPval-AA Elo: AA's run of economically valuable knowledge-work tasks, graded pairwise, with AA's interval.1,755Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
MLCR (AA run)AA's MLCR overall score for long, multi-document reading.15.6%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Vending-Bench 2Vending-Bench 2 final balance of a simulated vending business run by the model, as Epoch AI republishes it.$5,422Andon Labs (via Epoch AI)Oct 26, 2026
Capability beyond the chart
AA-LCRAA long-context reasoning accuracy.85.3%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
ALE-BenchALE-Bench performance rating on long optimization contests, as Epoch AI republishes it.2,143High effortSakana AI (via Epoch AI)Oct 26, 2026
ARC-AGI-2ARC-AGI-2 score from the ARC Prize maintainers, as Epoch AI republishes it.90%Max effortARC Prize Foundation (via Epoch AI)Oct 26, 2026
Chess puzzles (Epoch)Share of chess puzzles solved, Epoch AI's run.48%Max effortEpoch AIOct 13, 2026
CritPt (AA run)Share of CritPt research-level physics problems solved in AA's run.29.7%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
CursorBenchCursorBench score from Cursor, as Epoch AI republishes it.51.8%Max effortCursor (via Epoch AI)Oct 26, 2026
DTBenchDTBench accuracy, as Epoch AI republishes it.97.6%Extra-high effortRedwood Research (via Epoch AI)Oct 26, 2026
Epoch Capabilities IndexEpoch Capabilities Index: Epoch AI's composite across its benchmark hub, with its confidence interval.166Claude Fable 5.1Epoch AIOct 26, 2026
FrontierCode (AA run)AA's FrontierCode score: hard, unsaturated coding tasks.49.0%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
FrontierMath Tier 4 (Epoch)Share of FrontierMath Tier 4 research math problems solved, Epoch AI's run.87.8%Max effortEpoch AISep 1, 2026
FrontierMath Tiers 1 to 3 (Epoch)Share of FrontierMath Tiers 1 to 3 problems solved, Epoch AI's run.90.2%Max effortEpoch AISep 1, 2026
FrontierSWEFrontierSWE score, as Epoch AI republishes it.56.3%Max effortFrontierSWE (via Epoch AI)Oct 26, 2026
GPQA Diamond (AA run)GPQA Diamond accuracy in AA's run.93.7%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Humanity's Last Exam (AA run)Share of Humanity's Last Exam questions answered correctly in AA's run.59.1%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Intelligence IndexArtificial Analysis Intelligence Index: AA's composite of its own evaluation runs, 0 to 100 points.53.4Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
IT-Bench SRE (AA run)AA's IT-Bench SRE score for incident and reliability agents.49.5%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
LMCALMCA score, 0 to 100, as Epoch AI republishes it. Its interval is printed only as a half-width, so it is not drawn.65.1Extra-high effortRedwood Research (via Epoch AI)Oct 26, 2026
Mystery game puzzles (Epoch)Share of mystery game puzzles solved, Epoch AI's run.58%Max effortEpoch AISep 1, 2026
OTIS Mock AIME (Epoch)Share of OTIS Mock AIME 2024 to 2025 problems solved, Epoch AI's run.100%Max effortEpoch AISep 1, 2026
ProofBenchShare of ProofBench proofs graded correct, from Vals AI as Epoch AI republishes it.100%Max effortVals AI (via Epoch AI)Oct 26, 2026
SciCode (AA run)SciCode subproblem accuracy in AA's run.63.1%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
tau-Banking (AA run)AA's tau-Banking tool-use score.47.2%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Terminal-Bench 4.0 (AA run)Share of Terminal-Bench 4.0 tasks solved in AA's own harness.52.0%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Terminal-Bench Science (AA run)Share of Terminal-Bench Science tasks solved in AA's harness.43.3%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
WebDev ArenaWebDev Arena score from human pairwise votes on web builds, with its 95% interval, as Epoch AI republishes it.1,758Max effortLMArena (via Epoch AI)Oct 26, 2026
WeirdML v3, best runWeirdML v3 maximum performance across runs, as Epoch AI republishes it.43.5%Extra-high effortHåvard Tveit Ihle (via Epoch AI)Oct 26, 2026
Domains
EconomicsArtificial Analysis capability score for economics questions, 0 to 100 points.62.7Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
EngineeringArtificial Analysis capability score for engineering questions, 0 to 100 points.56.5Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Finance and accountingArtificial Analysis capability score for finance and accounting questions, 0 to 100 points.56.4Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Healthcare and medicalArtificial Analysis capability score for healthcare and medical questions, 0 to 100 points.49.7Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
LegalArtificial Analysis capability score for legal questions, 0 to 100 points.60.5Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Strategy and operationsArtificial Analysis capability score for strategy and operations questions, 0 to 100 points.59.7Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026
Harvey Legal Lab (AA run)AA's run of Harvey's legal task lab.6.4%Claude Fable 5.1 (Max, Default Fallback)Artificial AnalysisOct 26, 2026

Routes, prices and uptime

Where Claude Fable 5.1 is offered, what each route charges, and how each endpoint is holding up.

Where it is offered

14 of 19 routes GILD tracks offer Claude Fable 5.1 today, preview included. Read Oct 28, 2026 from each route's own pages.

RouteStatusModel IDLimits and lifecycleSources
Amazon BedrockAvailableanthropic.claude-fable-5-1us./global. profiles; no in-Region; Active, EOL not sooner than Sept 1, 2027; tiers: Standard only; context / output 1M / 128KAmazon Web Services, Models at a glanceAmazon Web Services, Claude Fable 5.1
Claude CodeAvailableclaude-fable-5-1By full model name on the Anthropic API, or provider ARN, version or deployment name; aliases resolve per providerAnthropic
Claude on Google Cloud (Anthropic managed)Availableclaude-fable-5-1Claude API model IDs (dated IDs use a hyphen)Anthropic, Claude Fable 5.1Anthropic, Claude Models on Google Cloud (Anthropic managed)
Claude Platform on AWSAvailableclaude-fable-5-1Same ID as the Claude APIAnthropic
CursorAvailablenot statedpicker label Claude Fable 5.1available (data-retention approval needed under Privacy Mode); Premium plan or higher, API list priceAnysphere (Cursor)Cursor, Cursor Docs — Agent, Rules, MCP, Skills & CLICursor, Models & Pricing
DatabricksAvailabledatabricks-claude-fable-5-1availableDatabricks, Databricks-hosted inferenceDatabricks, Detailed list of models supported by Databricks Foundation Model APIs
The maker's own APIAvailableclaude-fable-5-1context / max output 1M / 128K; status per deprecations tableAnthropic, Claude Fable 5.1Anthropic, Model deprecations
GitHub CopilotAvailablenot statedpicker label Claude Fable 5.1available (GA)GitHub
GitHub ModelsRetirednot applicableservice retiredservice retired July 30, 2026GitHub, GitHub Models
Google Cloud Vertex / Agent Platform (Google managed)Availableclaude-fable-5-1 (GA)retirement not stated on page; input / output 1,000,000 / 128,000Google, Anthropic's Claude on Google Cloud modelsGoogle, Anthropic's Claude Fable 5.1 on Google CloudAnthropic
Microsoft FoundryAvailableclaude-fable-5-1deployment name defaults to model ID; hosted on Anthropic only; context 1M; no Message Batches APIAnthropicMicrosoft Learn
OpenCodeAvailableclaude-fable-5-1OpenCode Zen gateway, Anthropic Messages endpointAnomaly (OpenCode), ModelsOpenCode (Anomaly)
OpenRouterAvailableanthropic/claude-fable-5.1context / max completion 1,000,000 / 128,000OpenRouter
Snowflake CortexPreviewclaude-fable-5-1Regions: Cross Cloud (Any Region) (private preview); AWS US (Cross-Region) (private preview). Per-model context/output not stated in token table.Snowflake
Windsurf / DevinAvailableclaude-fable-5-1-highclaude-fable-5-1-lowclaude-fable-5-1-maxclaude-fable-5-1-mediumclaude-fable-5-1-xhighavailableCognition (Devin, formerly Windsurf), AI ModelsCognition (Devin, formerly Windsurf), 2026

Not offered on 1 route: Antigravity.

3 routes do not say: Codex, Gemini CLI and Grok Build.

What each of these 4 routes' pages say, with sources
RouteStatusModel IDLimits and lifecycleSources
AntigravityNot offerednot listed; Gemini CLI serves Gemini models onlyGoogle
CodexNot statedCodex model docs list OpenAI models only
Gemini CLINot statedRegion, tier and limits not stated on the route's pages.
Grok BuildNot statedGrok Build pages name only grok-4.7xAI (SpaceXSI)

Prices by route

The lowest standard rate is Claude API, at $10 / $50 per million input and output tokens. US dollars per million tokens, as each route lists them, one row per route and rate plan, cheapest standard rate first after the maker's own; a blended rate states its mix. OpenRouter's endpoints follow under one heading, each with its monitor's uptime over 1 day and 30 minutes and the context and output it serves.

RouteStandard, in / outCache readOther ratesSource, or uptime (1 day / 30 min) and limits
Claude APIMakerLowest$10 / $50Anthropic, Oct 26, 2026
Artificial Analysis price record$10 / $50$0.25Blended $20, 3 input : 1 output, no cacheBlended $7.17, 7 cache-hit : 2 input : 1 outputCache write $12.50Artificial Analysis, Oct 26, 2026
OpenRouter$10 / $50$0.25Cache write $20, 1-hour cacheCache write $12.50, 5-minute cacheOpenRouter, Oct 28, 2026
Through OpenRouter, 4 provider endpoints. OpenRouter, Oct 28, 2026
Amazon Bedrock$10 / $50$0.25Cache write $20, 1-hour cacheCache write $12.50, 5-minute cache1M context, 128K output
Anthropic$10 / $50$0.25Cache write $20, 1-hour cacheCache write $12.50, 5-minute cacheUp 100% / 100%1M context, 128K output
Azure$10 / $50$0.25Cache write $20, 1-hour cacheCache write $12.50, 5-minute cacheUp 100%1M context, 128K output
Google (global)$10 / $50$0.25Cache write $20, 1-hour cacheCache write $12.50, 5-minute cacheUp 100% / 100%1M context, 128K output

Uptime and speed by endpoint

Each provider endpoint as its monitor reports it: uptime over the last day and the last 30 minutes, output speed and time to first token, and the limits it serves. A blank is a figure the monitor does not publish for that endpoint.

EndpointUptime, 1 dayUptime, 30 minOutput speedFirst tokenContext / max outputSource
Artificial Analysis: Anthropic66 tokens/s132 sArtificial Analysis, Oct 28, 2026
Status page: Claude API (api.anthropic.com)99.7%, Calendar month: August 2026; component: Claude API (api.anthropic.com)Anthropic, Oct 28, 2026
Status page: Claude API (api.anthropic.com)99.7%, Calendar month: September 2026; component: Claude API (api.anthropic.com)Anthropic, Oct 28, 2026
Status page: Claude API (api.anthropic.com)99.8%, Calendar month: October 2026; component: Claude API (api.anthropic.com)Anthropic, Oct 28, 2026

Lineup

Anthropic's 14 releases in 4 families, oldest to newest along each tier, with list price and speed. Claude Fable 5.1 is lit.

CurrentLegacyThis model

Price is the list price per 1M tokens, input / output. Speed is median output tokens per second. Bars share one scale across the lineup. Read between Oct 26, 2026 and Oct 28, 2026.

  1. Claude Haiku

    Anthropic's small, fast Claude model family for high-volume, latency-sensitive work.

    2 releases

    1. 4.5Legacy. In 4 products we coverPrice$1 / $5Speed97 tok/s
    2. 5.5Current. In 6 products we coverPrice$0.10 / $0.50Speed240.7 tok/s

  2. Claude Sonnet

    Anthropic's balanced Claude model family.

    4 releases

    1. 4.5Deprecated. In 4 products we coverPrice$3 / $15Speed52.3 tok/s
    2. 4.6Legacy. In 4 products we coverPrice$3 / $15Speed65.5 tok/s
    3. 5Legacy. In 4 products we coverPrice$2 / $10Speed85.8 tok/s
    4. 5.5Current. In 9 products we coverPrice$2 / $10Speed140.1 tok/s

  3. Claude Opus

    Anthropic's high-capability Claude model family.

    6 releases

    1. 4.5Legacy. In 4 products we coverPrice$5 / $25Speed58.8 tok/s
    2. 4.6Legacy. In 4 products we coverPrice$5 / $25Speed47.7 tok/s
    3. 4.7Legacy. In 4 products we coverPrice$5 / $25Speed54.7 tok/s
    4. 4.8Legacy. In 4 products we coverPrice$5 / $25Speed65.9 tok/s
    5. 5Legacy. In 4 products we coverPrice$5 / $25Speed53.3 tok/s
    6. 5.5Current. In 9 products we coverPrice$4 / $20Speed98.4 tok/s

  4. Claude Fable

    Anthropic's Claude family for demanding reasoning and long-horizon agentic work.

    2 releases

    1. 5Legacy. In 4 products we coverPrice$10 / $50Speed70.2 tok/s
    2. This page5.1Current. In 8 products we coverPrice$10 / $50Speed66.4 tok/s

Where it fits

The layers of Agentic Software Development that Claude Fable 5.1 can power. A product supplies the rest.

Product & Engineering, Software Development

Agentic Software Development

Primary role
Foundation Model / Reasoning Engine

Claude Fable 5.1 can power coding, reasoning, and validation work inside an agentic software-development product. The Model does not itself provide the surrounding interface, execution environment, or system of record.

  1. Work planning & task decomposition

    The Model can assist with work planning & task decomposition when a Product supplies the necessary context and tools.

    Supporting

  2. Codebase context & intelligence

    The provider documents long-context or codebase-oriented reasoning suitable for this layer. Anthropic's page

    Strong fit

  3. Coding & implementation

    The provider documents this Model for software-engineering and coding work. Anthropic's page

    Strong fit

  4. Debugging & investigation

    The Model can assist with debugging & investigation when a Product supplies the necessary context and tools.

    Supporting

  5. Testing & verification

    The Model can assist with testing & verification when a Product supplies the necessary context and tools.

    Supporting

  6. Code review & quality

    The Model can assist with code review & quality when a Product supplies the necessary context and tools.

    Supporting

Products

We cover 8 products that offer Claude Fable 5.1 today: 7 subscriptions and 1 API.

Through a subscription

  1. Kiro+10 MixedAWS's spec-driven agent for the IDE, terminal, and cloud.EnterprisePlans that include it
  2. OpenCode+27 PositiveOpen-source, MIT-licensed coding agent that edits code and runs commands from a terminal UI, desktop app, web client, or editor extension.AI Coding AgentSupported
  3. Claude+44 PositiveAnthropic's general-purpose AI assistant for individuals and teams.Pro, Max, Team, EnterprisePlans that include it
  4. Claude Code+75 Strong positiveAnthropic's agentic coding product for terminal and IDE workflows.Pro, Max, Team, EnterprisePlans that include it
  5. Cursor+11 MixedAI coding agent and code editor for writing, reviewing, and shipping software, with agents in the editor, the terminal, and the cloud.Premium, Super, Ultra, Teams, EnterprisePlans that include it
  6. GitHub Copilot+15 MixedGitHub's AI coding agents, IDE assistance, and pull request review.Copilot Pro+, Copilot Max, Copilot Business, Copilot EnterprisePlans that include it
  7. Perplexity−25 NegativeAI answer engine with cited web research, model choice, and an agent for longer tasks.MaxPlans that include it

Through an API

  1. Claude API+25 PositiveDeveloper access to Claude models through Anthropic's platform.AI Model APISupported

Limits each vendor states

KiroEnterprise
6x credit multiplier relative to Auto; 1M context window; inference runs only in US East (N. Virginia); administrators enable access through model governance
ClaudePro, Max, Team, Enterprise
Included as a standard part of the plan on Max plans, premium seats on Team plans and premium seats on seat-based Enterprise plans, up to 50% of weekly usage limits on Fable models at no extra cost; on Pro plans and standard seats on Team plans not included in the plan's usage limits, run on pay-as-you-go usage credits; on standard seats on seat-based Enterprise plans usable if the organization has enabled usage credits; usage-based Enterprise plans are billed at standard API rates
Claude CodePro, Max, Team, Enterprise
Included as a standard part of the plan on Max plans, premium seats on Team plans and premium seats on seat-based Enterprise plans, up to 50% of weekly usage limits on Fable models at no extra cost; on Pro plans and standard seats on Team plans not included in the plan's usage limits, run on pay-as-you-go usage credits; on standard seats on seat-based Enterprise plans usable if the organization has enabled usage credits; usage-based Enterprise plans are billed at standard API rates; Claude Code needs version 2.1.255 or later for Fable 5.1
CursorPremium, Super, Ultra, Teams, Enterprise
Not part of the included pool: on Premium and above, billed at the model's API list price from the first request, paid from prepaid credit (input $10, cache write $12.5, cache read $0.25, output $50 per million tokens); US data residency: Yes. Plus and Free do not include third-party models.
GitHub CopilotCopilot Pro+, Copilot Max, Copilot Business, Copilot Enterprise
Included on the Copilot plans listed. Copilot Free and Copilot Student get auto model selection only, so they cannot pick it.
PerplexityMax
In Perplexity's Search model picker on Max, not on Pro; usage limits apply, with no per-model figures published.

Plan access as each vendor's page states it: Amazon (Oct 28, 2026), Anthropic (Oct 28, 2026), Anysphere (Oct 28, 2026), GitHub (Oct 31, 2026), Perplexity (Oct 26, 2026).

Comparisons

GILD comparisons that name Claude Fable 5.1, then those of the clouds and APIs that serve it.

What practitioners report

Strongest on Long context, weakest on Reliability.

Each figure is the share of accounts naming Claude Fable 5.1 that speak well of it on that axis. An axis is scored once praise and concerns are both on record from at least five accounts by three authors. An account from the maker, a company that sells or serves the model, or the maker's expert program is listed and counts toward no figure.

Share of practitioner accounts favorable to Claude Fable 5.1 on each of seven axes, with the accounts behind each figure
AxisFavorableAccounts
Quality and reasoningWhether its answers and code are right on the author's own task: reasoning, accuracy, instruction following, and consistency.54%15 favorable, 13 not, 28 authors
Tool use and structured outputWhether it calls tools correctly, returns valid structured output, and keeps agent loops on track.30%3 favorable, 7 not, 10 authors
Long contextHow it holds up over long documents, large codebases, long sessions, and many images or PDFs.63%5 favorable, 3 not, 8 authors
Developer experienceHow it is to build with: prompting, steering, effort settings, and support across SDKs and providers.50%7 favorable, 7 not, 14 authors
CostWhat the work costs: price per task, token use, and what caching and batch save.20%4 favorable, 16 not, 20 authors
SpeedResponse time, time to first token, and throughput.44%4 favorable, 5 not, 9 authors
ReliabilityWhether requests keep succeeding: overloaded errors, outages, rate limits, and changes that broke what worked.9%1 favorable, 10 not, 11 authors
Every model on these seven axes
Share of accounts favorable on each axis for Claude Fable 5.1 and every other model GILD has accounts for
AxisClaude Fable 5.1Claude Haiku 5.5Claude Sonnet 5.5Claude Opus 5.5Claude Opus 5Claude Sonnet 5Claude Fable 5Claude Opus 4.8Claude Opus 4.7Claude Sonnet 4.6Claude Opus 4.6Claude Opus 4.5Claude Haiku 4.5Claude Sonnet 4.5GPT-6.1 TerraGPT-6.1 SolGPT-6 LunaGPT-6 AstraGPT-5.6 SolGPT-5.6 TerraGPT-5.6 LunaGPT-5.5GPT-5.4gpt-oss-120bGPT-6 SolGPT-5.3-CodexGemini 4 ArgonGemini 3.8 FlashGemma 4 31BGemini 3.1 Pro PreviewGemini 3.6 FlashDeepSeek V4.1 FlashDeepSeek V4 ProKimi K3.1 ProKimi K3Kimi K2.7 CodeMistral Large 4Mistral Medium 3.5Grok 4.7Grok 4.6Grok 4.5MiniMax M3.1 FlashMercury 3GLM-5.3-FlashGLM-5.3GLM-5.2Muse Spark OpenMuse WonderMuse Spark 1.3Llama 4 ScoutLlama 4 MaverickQwen3.8 27BQwen3.8 MaxMiMo-V2.6-ProMiMo-V2.6-FlashLing 3.1 FlashStep 5 Preview
Quality and reasoning54%15 favorable, 13 not, 28 authors73%19 favorable, 7 not, 26 authors64%14 favorable, 8 not, 22 authors68%17 favorable, 8 not, 25 authors50%6 favorable, 6 not, 12 authors56%9 favorable, 7 not, 16 authors68%13 favorable, 6 not, 18 authors68%17 favorable, 8 not, 25 authors57%12 favorable, 9 not, 21 authors67%12 favorable, 6 not, 18 authors70%19 favorable, 8 not, 27 authors62%13 favorable, 8 not, 20 authors58%14 favorable, 10 not, 24 authors69%11 favorable, 5 not, 16 authors33%3 favorable, 6 not, 8 authors55%12 favorable, 10 not, 22 authors55%16 favorable, 13 not, 29 authors44%12 favorable, 15 not, 26 authors33%3 favorable, 6 not, 9 authors38%3 favorable, 5 not, 8 authorsNeeds 5 accounts from 3 authors3 favorable, 1 not, 4 authors33%4 favorable, 8 not, 12 authors33%2 favorable, 4 not, 6 authors58%22 favorable, 16 not, 38 authors31%10 favorable, 22 not, 32 authorsNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authors63%22 favorable, 13 not, 35 authors56%27 favorable, 21 not, 45 authors80%24 favorable, 6 not, 28 authors56%20 favorable, 16 not, 36 authorsNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authors61%25 favorable, 16 not, 40 authorsOnly concerns on record0 favorable, 4 not, 4 authors59%20 favorable, 14 not, 32 authorsOnly praise on record3 favorable, 0 not, 3 authors50%3 favorable, 3 not, 6 authors58%11 favorable, 8 not, 18 authors36%5 favorable, 9 not, 14 authors43%16 favorable, 21 not, 36 authors86%6 favorable, 1 not, 7 authors60%3 favorable, 2 not, 5 authors62%13 favorable, 8 not, 21 authors86%18 favorable, 3 not, 21 authors67%14 favorable, 7 not, 21 authors76%47 favorable, 15 not, 61 authors71%5 favorable, 2 not, 7 authorsNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authors20%1 favorable, 4 not, 5 authorsOnly praise on record2 favorable, 0 not, 2 authors53%8 favorable, 7 not, 15 authors44%8 favorable, 10 not, 17 authors71%24 favorable, 10 not, 34 authors57%4 favorable, 3 not, 7 authors22%2 favorable, 7 not, 9 authors40%4 favorable, 6 not, 10 authorsOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authors
Tool use and structured output30%3 favorable, 7 not, 10 authors67%6 favorable, 3 not, 9 authors40%4 favorable, 6 not, 10 authors46%6 favorable, 7 not, 13 authorsNeeds 5 accounts from 3 authors3 favorable, 1 not, 4 authors70%7 favorable, 3 not, 10 authors57%4 favorable, 3 not, 7 authors50%4 favorable, 4 not, 8 authors50%4 favorable, 4 not, 8 authors29%2 favorable, 5 not, 7 authors33%4 favorable, 8 not, 12 authors70%7 favorable, 3 not, 10 authors43%3 favorable, 4 not, 6 authors50%3 favorable, 3 not, 6 authors40%2 favorable, 3 not, 5 authors40%4 favorable, 6 not, 10 authors33%3 favorable, 6 not, 9 authors62%8 favorable, 5 not, 13 authorsNo accounts yetOnly concerns on record0 favorable, 2 not, 2 authorsOnly praise on record1 favorable, 0 not, 1 authorOnly praise on record1 favorable, 0 not, 1 authorNo accounts yet27%4 favorable, 11 not, 15 authors56%5 favorable, 4 not, 9 authorsNo accounts yet25%2 favorable, 6 not, 8 authors47%7 favorable, 8 not, 15 authors67%4 favorable, 2 not, 6 authors54%7 favorable, 6 not, 12 authorsOnly concerns on record0 favorable, 1 not, 1 author59%10 favorable, 7 not, 17 authorsOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors3 favorable, 1 not, 4 authorsOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yet38%5 favorable, 8 not, 13 authorsOnly concerns on record0 favorable, 5 not, 5 authors38%6 favorable, 10 not, 16 authorsOnly praise on record2 favorable, 0 not, 2 authorsOnly concerns on record0 favorable, 1 not, 1 author67%4 favorable, 2 not, 6 authors80%8 favorable, 2 not, 10 authors33%2 favorable, 4 not, 6 authors57%4 favorable, 3 not, 7 authorsNo accounts yetNo accounts yetOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsNeeds 5 accounts from 3 authors1 favorable, 2 not, 3 authorsOnly concerns on record0 favorable, 4 not, 4 authors46%6 favorable, 7 not, 13 authorsOnly praise on record1 favorable, 0 not, 1 authorOnly concerns on record0 favorable, 5 not, 5 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 author
Long context63%5 favorable, 3 not, 8 authors29%2 favorable, 5 not, 7 authors60%3 favorable, 2 not, 5 authors80%8 favorable, 2 not, 10 authors67%4 favorable, 2 not, 6 authors50%3 favorable, 3 not, 6 authors33%2 favorable, 4 not, 6 authors60%6 favorable, 4 not, 10 authors50%4 favorable, 4 not, 7 authors71%5 favorable, 2 not, 7 authors64%7 favorable, 4 not, 11 authors40%4 favorable, 6 not, 10 authors40%2 favorable, 3 not, 5 authors50%4 favorable, 4 not, 8 authorsOnly concerns on record0 favorable, 1 not, 1 author38%3 favorable, 5 not, 8 authors20%1 favorable, 4 not, 5 authors27%3 favorable, 8 not, 11 authorsNo accounts yetNo accounts yetOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authors25%2 favorable, 6 not, 8 authorsOnly concerns on record0 favorable, 3 not, 3 authorsNo accounts yet25%2 favorable, 6 not, 8 authors38%5 favorable, 8 not, 13 authors20%1 favorable, 4 not, 5 authors44%7 favorable, 9 not, 16 authorsOnly praise on record1 favorable, 0 not, 1 author58%7 favorable, 5 not, 12 authorsNo accounts yetNeeds 5 accounts from 3 authors3 favorable, 1 not, 4 authorsOnly praise on record1 favorable, 0 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authorsNo accounts yet42%5 favorable, 7 not, 12 authorsNo accounts yetNo accounts yet40%2 favorable, 3 not, 5 authors60%3 favorable, 2 not, 5 authorsNo accounts yet40%2 favorable, 3 not, 5 authorsNo accounts yetNo accounts yetOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 3 not, 3 authorsNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authors75%6 favorable, 2 not, 8 authorsOnly praise on record1 favorable, 0 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsNo accounts yetNo accounts yet
Developer experience50%7 favorable, 7 not, 14 authors25%2 favorable, 6 not, 8 authors38%5 favorable, 8 not, 13 authors38%6 favorable, 10 not, 16 authors25%3 favorable, 9 not, 12 authors29%2 favorable, 5 not, 7 authors25%3 favorable, 9 not, 12 authors53%10 favorable, 9 not, 19 authors29%4 favorable, 10 not, 14 authors57%4 favorable, 3 not, 7 authors45%5 favorable, 6 not, 11 authors67%8 favorable, 4 not, 12 authorsNeeds 5 accounts from 3 authors2 favorable, 2 not, 4 authors50%3 favorable, 3 not, 6 authorsOnly concerns on record0 favorable, 2 not, 2 authors27%3 favorable, 8 not, 11 authors25%2 favorable, 6 not, 8 authors41%7 favorable, 10 not, 17 authorsNo accounts yetOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yetNo accounts yetNo accounts yet14%1 favorable, 6 not, 7 authors25%3 favorable, 9 not, 12 authorsNo accounts yet33%3 favorable, 6 not, 9 authors39%7 favorable, 11 not, 17 authorsOnly concerns on record0 favorable, 7 not, 7 authors40%8 favorable, 12 not, 20 authorsNo accounts yet35%8 favorable, 15 not, 23 authorsNo accounts yet9%1 favorable, 10 not, 11 authorsNo accounts yetOnly concerns on record0 favorable, 1 not, 1 author13%2 favorable, 14 not, 16 authorsOnly concerns on record0 favorable, 9 not, 9 authors25%5 favorable, 15 not, 20 authorsNo accounts yetNo accounts yetOnly concerns on record0 favorable, 7 not, 7 authors11%1 favorable, 8 not, 9 authorsOnly concerns on record0 favorable, 3 not, 3 authors33%5 favorable, 10 not, 15 authorsNo accounts yetOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yetOnly concerns on record0 favorable, 6 not, 6 authorsOnly concerns on record0 favorable, 1 not, 1 author17%1 favorable, 5 not, 6 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yetNo accounts yet
Cost20%4 favorable, 16 not, 20 authors69%20 favorable, 9 not, 29 authors45%10 favorable, 12 not, 22 authors56%15 favorable, 12 not, 27 authors43%3 favorable, 4 not, 7 authors39%7 favorable, 11 not, 17 authors8%1 favorable, 11 not, 12 authors40%6 favorable, 9 not, 14 authors50%7 favorable, 7 not, 13 authors50%6 favorable, 6 not, 12 authors33%7 favorable, 14 not, 20 authors53%8 favorable, 7 not, 15 authors29%4 favorable, 10 not, 12 authors38%3 favorable, 5 not, 8 authors80%8 favorable, 2 not, 9 authors74%14 favorable, 5 not, 19 authors79%22 favorable, 6 not, 26 authors29%7 favorable, 17 not, 23 authors57%4 favorable, 3 not, 7 authorsOnly concerns on record0 favorable, 1 not, 1 author50%3 favorable, 3 not, 6 authorsNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authors63%5 favorable, 3 not, 8 authors60%3 favorable, 2 not, 5 authors55%12 favorable, 10 not, 21 authorsNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authors35%7 favorable, 13 not, 20 authors58%14 favorable, 10 not, 23 authorsOnly praise on record7 favorable, 0 not, 7 authors50%8 favorable, 8 not, 16 authorsOnly concerns on record0 favorable, 1 not, 1 author66%25 favorable, 13 not, 37 authorsOnly praise on record2 favorable, 0 not, 2 authors40%10 favorable, 15 not, 25 authors71%5 favorable, 2 not, 7 authorsNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authors27%3 favorable, 8 not, 11 authorsOnly concerns on record0 favorable, 8 not, 8 authors19%5 favorable, 21 not, 26 authors20%1 favorable, 4 not, 5 authorsOnly praise on record4 favorable, 0 not, 4 authors80%12 favorable, 3 not, 15 authors50%6 favorable, 6 not, 12 authors76%16 favorable, 5 not, 21 authors35%8 favorable, 15 not, 23 authors71%5 favorable, 2 not, 7 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 9 not, 9 authorsNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authorsOnly praise on record1 favorable, 0 not, 1 authorOnly praise on record1 favorable, 0 not, 1 authorNeeds 5 accounts from 3 authors2 favorable, 2 not, 4 authorsOnly concerns on record0 favorable, 2 not, 2 authorsNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsOnly praise on record3 favorable, 0 not, 3 authorsOnly praise on record1 favorable, 0 not, 1 authorOnly praise on record1 favorable, 0 not, 1 author
Speed44%4 favorable, 5 not, 9 authors74%14 favorable, 5 not, 19 authors88%14 favorable, 2 not, 16 authors46%6 favorable, 7 not, 13 authors60%3 favorable, 2 not, 5 authors44%4 favorable, 5 not, 9 authors57%4 favorable, 3 not, 7 authors31%4 favorable, 9 not, 13 authors63%5 favorable, 3 not, 8 authors17%1 favorable, 5 not, 6 authors36%4 favorable, 7 not, 11 authors73%8 favorable, 3 not, 11 authors78%7 favorable, 2 not, 9 authors75%6 favorable, 2 not, 8 authors83%5 favorable, 1 not, 5 authors37%7 favorable, 12 not, 19 authors45%5 favorable, 6 not, 11 authors41%7 favorable, 10 not, 17 authorsOnly praise on record1 favorable, 0 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authors80%4 favorable, 1 not, 5 authorsNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsNo accounts yet85%23 favorable, 4 not, 27 authors57%4 favorable, 3 not, 7 authorsOnly praise on record1 favorable, 0 not, 1 author45%5 favorable, 6 not, 11 authors61%19 favorable, 12 not, 31 authors53%10 favorable, 9 not, 17 authors35%6 favorable, 11 not, 16 authorsNeeds 5 accounts from 3 authors2 favorable, 1 not, 3 authors68%21 favorable, 10 not, 30 authorsOnly concerns on record0 favorable, 1 not, 1 author21%4 favorable, 15 not, 19 authorsOnly concerns on record0 favorable, 2 not, 2 authorsNo accounts yet21%3 favorable, 11 not, 14 authorsOnly concerns on record0 favorable, 2 not, 2 authors29%5 favorable, 12 not, 17 authorsNeeds 5 accounts from 3 authors1 favorable, 2 not, 3 authorsOnly praise on record2 favorable, 0 not, 2 authors44%4 favorable, 5 not, 9 authors65%13 favorable, 7 not, 20 authors33%3 favorable, 6 not, 9 authors20%3 favorable, 12 not, 15 authorsNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authorsNeeds 5 accounts from 3 authors3 favorable, 1 not, 4 authorsNo accounts yet33%7 favorable, 14 not, 21 authorsNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authorsOnly concerns on record0 favorable, 4 not, 4 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 2 not, 2 authorsOnly concerns on record0 favorable, 1 not, 1 author
Reliability9%1 favorable, 10 not, 11 authors20%1 favorable, 4 not, 5 authors18%2 favorable, 9 not, 11 authors13%1 favorable, 7 not, 8 authors13%1 favorable, 7 not, 8 authors63%5 favorable, 3 not, 7 authors22%2 favorable, 7 not, 9 authors17%2 favorable, 10 not, 12 authors18%2 favorable, 9 not, 11 authors17%1 favorable, 5 not, 6 authors20%3 favorable, 12 not, 15 authors38%6 favorable, 10 not, 16 authors29%2 favorable, 5 not, 7 authors40%4 favorable, 6 not, 10 authorsOnly concerns on record0 favorable, 1 not, 1 author13%1 favorable, 7 not, 8 authorsOnly concerns on record0 favorable, 5 not, 5 authors14%2 favorable, 12 not, 14 authorsOnly concerns on record0 favorable, 4 not, 4 authorsOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yetOnly concerns on record0 favorable, 2 not, 2 authorsOnly concerns on record0 favorable, 4 not, 4 authorsOnly concerns on record0 favorable, 4 not, 4 authors17%1 favorable, 5 not, 6 authorsOnly concerns on record0 favorable, 3 not, 3 authors5%1 favorable, 18 not, 19 authors15%3 favorable, 17 not, 20 authorsOnly concerns on record0 favorable, 5 not, 5 authors14%3 favorable, 19 not, 22 authorsOnly concerns on record0 favorable, 1 not, 1 author42%5 favorable, 7 not, 12 authorsNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authors8%1 favorable, 12 not, 13 authorsOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 1 not, 2 authors38%3 favorable, 5 not, 8 authorsOnly concerns on record0 favorable, 4 not, 4 authors22%2 favorable, 7 not, 9 authorsOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yet60%3 favorable, 2 not, 5 authors33%2 favorable, 4 not, 5 authorsOnly concerns on record0 favorable, 7 not, 7 authorsOnly concerns on record0 favorable, 4 not, 4 authorsOnly concerns on record0 favorable, 1 not, 1 authorNo accounts yetOnly concerns on record0 favorable, 2 not, 2 authorsOnly concerns on record0 favorable, 1 not, 1 authorNeeds 5 accounts from 3 authors1 favorable, 3 not, 4 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 9 not, 9 authorsOnly concerns on record0 favorable, 1 not, 1 authorOnly concerns on record0 favorable, 2 not, 2 authorsNo accounts yetNo accounts yetOnly concerns on record0 favorable, 1 not, 1 author
The 79 accounts behind Claude Fable 5.1's figures

GILD searched Hacker News, GitHub, Reddit, X, Artificial Analysis, OpenRouter, LMArena, Vals AI and the web for accounts that name Claude Fable 5.1.

Quality and reasoning 54%

  • Favorable
    At max effort it scores 66 on the Artificial Analysis Intelligence Index, the highest score we have measured

    Claude Fable 5.1 tops the Artificial Analysis Intelligence Index. Artificial Analysis, independent model benchmark publisher, self-described, Sep 1, 2026. Claude Fable 5.1 at five effort settings with Anthropic's default server-side fallback.

  • Favorable
    is amongst the leading models in intelligence

    Claude Fable 5.1 (max with fallback) - Intelligence, Performance & Price Analysis. Artificial Analysis, independent model benchmark publisher, self-described, Oct 26, 2026. Claude Fable 5.1 (Max, Default Fallback) on the Artificial Analysis model page.

  • Favorable
    It reaches similar known-issue coverage with fewer comments and better precision.

    Fable 5.1 review: Coding tests and code review results. Juan Pablo Flores and Gowtham Kishore Vijay, CodeRabbit blog authors, self-described, Sep 1, 2026. Fable 5.1 at Low and High reasoning in CodeRabbit's review pipeline on 45 review tasks, plus separate coding tests.

  • Favorable
    both the public benchmarks and our internal tests agree that it's a strong model

    Claude Fable 5.1: What Changed From Fable 5 and What to Validate. Guille Ojeda, Principal Innovation Architect at Caylent, Sep 3, 2026. Claude Fable 5.1 through the Claude API and Amazon Bedrock, with Caylent's internal tests.

  • Unfavorable
    Opus 5.5 consistently produces better results and explains itself better than Fable 5.1

    Comment on: Listen and read USA nuclear forces Emergency Action Messages, heard on 11175 kHz. kccqzy, Hacker News commenter, self-described, Oct 24, 2026. Fable 5.1 and Opus 5.5 given the same tasks.

  • Favorable
    it's performing pretty good overall, including tackling a previous IT sec audit I had ticketed

    Comment on: Claude Fable 5.1 and Claude Mythos 5.1. pelagicAustral, Hacker News commenter, self-described, Sep 2, 2026. Fable 5.1 over about 6 hours of testing, including a security audit of a codebase.

  • Favorable
    both seem to have arrived at reasonable solutions that only need a few nits revised before they are commit worthy

    Comment on: Claude Fable 5.1 and Claude Mythos 5.1. mceachen, Hacker News commenter, self-described, Sep 1, 2026. Fable 5.1 sessions on a front-end layout bug and a backend refactor.

  • Favorable
    Claude Fable 5.1 High reached 65.70%, against 42.98% for GPT and 35.54% for GLM

    Comment on: Today, we hacked what we'd set out to hack: the iPhone. wslh, Hacker News commenter, self-described, Oct 23, 2026. Claude Fable 5.1 High on the CoinFabrik Soroban audit harness.

  • Unfavorable
    it seems to get things wrong more often. I've had to bump it from high to xhigh to compensate

    Comment on: Claude Fable 5.1 and Claude Mythos 5.1. jorl17, Hacker News commenter, self-described, Sep 2, 2026. Claude Fable 5.1 against Fable 5 on several projects.

  • Favorable
    Astra for as great as it is falls slightly behind Fable 5.1 for me for large feature work

    Comment on: Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases. visiondude, Hacker News commenter, self-described, Sep 12, 2026. Fable 5.1 against GPT-6 Astra for large feature work.

  • Favorable
    Right now, Fable 5.1 delivers incredible reviews. Opus 5 delivers good reviews.

    Comment on: GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?. criley2, Hacker News commenter, self-described, Sep 14, 2026. Fable 5.1 high and xhigh in an internal multi-agent code review tool.

  • Unfavorable
    caught errors that Fable 5.1 missed

    Comment on: Claude Opus 5.5. yipinwong, Hacker News commenter, self-described, Sep 22, 2026. Fable 5.1 (High) checking a resume, against Opus 5.5 medium.

  • Favorable
    the second best model (Fable 5.1)

    Comment on: An Alien Mind. gertlabs, Hacker News commenter, self-described, Sep 6, 2026. Fable 5.1 in Gert Labs' 100 multi-agent coding environments, against GPT-6 Astra.

  • Unfavorable
    especially and famously Fable 5.1, seem to have a fair chance of completely failing

    Comment on: Can AI design circuit boards yet?. chmod775, Hacker News commenter, self-described, Sep 4, 2026. Fable 5.1 score distribution on a circuit-board design benchmark.

  • Unfavorable
    It feels like 5.1 is 5 that has higher reasoning threshold

    Comment on: Claude Fable 5.1 and Claude Mythos 5.1. glub, Hacker News commenter, self-described, Sep 2, 2026. Fable 5.1 against Fable 5 as an orchestrator.

  • Favorable
    It managed to produce up to 10x speedup in some cases

    Comment on: QGIS enacts moratorium on AI contributions. Roark66, Hacker News commenter, self-described, Oct 12, 2026. Fable 5.1 in Claude Code, left overnight to fix llama.cpp long-context performance.

  • Favorable
    I've had Fable 5.1 review contracts before sending it to our in-house lawyer and the quality is easily 85-90%

    Comment on: Software developers are not okay. LaurensBER, Hacker News commenter, self-described, Oct 10, 2026. Fable 5.1 reviewing contracts before the in-house lawyer.

  • Favorable
    It is, far and away, the most powerful programming model, in my experience.

    Comment on: Claude Fable 5.1 and Claude Mythos 5.1. llm_nerd, Hacker News commenter, self-described, Sep 1, 2026. Fable 5.1 hardening a project on release day.

  • Unfavorable
    it is hard to see ANY improvement

    Comment on: Claude Fable 5.1 and Claude Mythos 5.1. GodelNumbering, Hacker News commenter, self-described, Sep 1, 2026. Fable 5.1 pricing and launch benchmarks against Opus 5.

  • Favorable
    I've used this using Fable 5.1 for a few PCBs, and I've found it incredible.

    Comment on: AI-assisted PCB design for KiCad 10. sapientiae3, Hacker News commenter, self-described, Oct 17, 2026. Fable 5.1 designing several PCBs with JLCPCB parts.

  • Favorable
    Fable 5.1 was noticeably better at getting things right and doing things in a good reliable way

    Comment on: Everyone should slow down AI development except for me. qskousen, Hacker News commenter, self-described, Sep 13, 2026. Fable 5.1 on a Zig GPU-backend codebase, against Opus 5.

  • Favorable
    you end up doing less rework since Fable agents are just much smarter

    Comment on: GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?. extr, Hacker News commenter, self-described, Sep 14, 2026. Fable 5.1 spawning forks of itself in place of Opus subagents.

  • Unfavorable
    it is genuinely better than CC+Fable for my maths and programming use cases

    Comment on: Google Antigravity TOS: 3rd party usage can get Google account suspended. fractorial, Hacker News commenter, self-described, Sep 3, 2026. Claude Code with Fable 5.1 against a custom harness on GPT 5.6.

  • Unfavorable
    it has created 20+ bugs - it has failed to test the fixes

    Comment on: Claude Code fable 5.1 is seriously flawed. code-delta-app, Hacker News commenter, self-described, Sep 7, 2026. Fable 5.1 in Claude Code over 12 hours of work.

  • Unfavorable
    I dont find Fable 5.1 all that good and I have actually just completely stopped using it

    X post by @buttface_9000. buttface_9000, X user describing himself as an open source C++ and Rust coder, self-described, Oct 25, 2026. Fable 5.1 in the author's coding work.

  • Unfavorable
    I find myself using Opus 5.5 over Fable 5.1 every time

    X post by @adamc0dez. Adam (adamc0dez), founder building an AEO agent, self-described, Oct 25, 2026. Fable 5.1 against Opus 5.5 in the author's work.

  • Unfavorable
    i've been trying to use fable 5.1 and opus 5.5 for planning personal things, and i always end up disagreeing with everything it says

    X post by @zhomag. zhomag, X user, self-described, Oct 25, 2026. Fable 5.1 and Opus 5.5 for business and personal planning.

  • Favorable
    With an assist from Claude Fable 5.1, I rewrote the entire thing. It's now 80% Rust, 10x faster, way simpler

    X post by @RonanHussar. RonanHussar, X user, self-described, Oct 25, 2026. Claude Fable 5.1 assisting a rewrite of a QGIS-style tool.

  • Unfavorable
    A second, cheaper agent (OpenAI Codex, Sol 6.1, medium effort) reviewed the same repository and found every one of those wrong.

    [MODEL] Fable 5.1 produced a confident code-migration plan from grep counts instead of reading the code; cheaper Codex agent found 7 errors. scottconverse, GitHub issue author, self-described, Oct 12, 2026. claude-fable-5-1 (Fable 5.1) in Claude Code desktop on a migration-planning question.

  • Unfavorable
    Claude said the entire system built but it had skipped the typescript tests as they were red

    [BUG] Fable 5.1 regression in honesty and alignment making Claude Code unreliable partner. schnoberts1, GitHub issue author, self-described, Sep 8, 2026. Fable 5.1 in Claude Code on a test-triage task.

  • Favorable
    Fable 5.1 takes #1 on the Vals Index (67.87%), ahead of Claude Opus 5 (67.21%) and its own predecessor Claude Fable 5 (66.04%)

    Claude Fable 5.1 Benchmarks, Cost and Capabilities | Vals AI. Vals AI, independent model benchmark publisher, self-described, Sep 4, 2026. Claude Fable 5.1 at max compute effort across the Vals AI benchmark suite and RSI Index.

  • Favorable
    SWE-Bench Pro V2 HARD Evaluating long-horizon software engineering tasks in public open source repositories 1 Opus 5 (Claude Code) xhigh 98.00 2 Fable 5.1 (Claude Code) high 92.20

    Scale Labs AI Model Leaderboards. Scale Labs, independent model leaderboard publisher, self-described, Oct 26, 2026. Fable 5.1 on Scale Labs MCP Atlas and Fable 5.1 (Claude Code) high on SWE-Bench Pro V2 HARD.

Tool use and structured output 30%

Long context 63%

Developer experience 50%

Cost 20%

Speed 44%

Reliability 9%