Cost
$1.62per task
Cost per task. One Intelligence Index task at list price, every token counted. Run at high effort.
- Cached input
- $0.10 per 1M tokens
Model family by Google
Google's Gemini family for complex reasoning and multimodal work.
Where it sits in Google's lineup
Compare with other models Up to 3 beside Gemini 4 Argon
Suggested comparisons
Gemini 4 Argon is the newest Gemini Pro release. Add its earlier releases to see how the line moved.
Among the 40 current releases on this chart, Gemini 4 Argon ranks first of 38 on Tool use, first of 24 on Science and second of 25 on Answers in full. Computer use is Google's own figure on OSWorld 2.0, marked on the chart. It ranks lowest on Long context, 28th of 38. Multimodal: not yet published by Google 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
Prices and speeds read between Oct 27, 2026 and Oct 28, 2026.
Gemini 4 Argon on each axis11 of 12 with a result
The share of Terminal-Bench 4.0's long terminal tasks the model finishes on its own: services, kernels, proofs and data pipelines, graded on the final artifact with no partial credit.
Terminal-Bench 4.0, pass@1 averaged over 3 runs, mini-swe-agent harness
The share of SciCode's scientific programming subproblems the model's code solves on the first attempt.
SciCode, subproblem accuracy, pass@1, highest effort run
The share of FrontierMath's held-out research-grade problems (tiers 1 to 3) the model answers correctly.
FrontierMath Tiers 1-3, accuracy, pass@1, highest effort run
The share of GPQA Diamond's graduate-level biology, chemistry and physics questions the model answers correctly.
GPQA Diamond, accuracy, pass@1, highest effort run
The share of Humanity's Last Exam's 2,158 text-only questions, expert-written at the edge of human knowledge, the model answers correctly without tools.
Humanity's Last Exam, accuracy, text-only questions, no tools
The share of each AutomationBench task's objectives the model completes by calling REST APIs across simulated business apps (Gmail, Sheets, Slack, Salesforce, Zendesk, Jira, HubSpot), averaged over tasks. A task that breaks one of its policy guardrails scores zero.
AutomationBench-AA, score, Artificial Analysis run
How much of each OSWorld 2.1 workflow the model completes by operating a real Ubuntu desktop through screenshots, mouse and keyboard: all 108 long tasks across apps, files, mail and browsers, on the September 2026 v2.1 release of the task files. A point is the mean share of each task's weighted checks the model passes (the partial score, as a percentage). The OSWorld team's own runs come first. Where the team has not run a release, the point is another lab's run or the maker's own published figure, marked with who ran it and the benchmark it ran: OSWorld 2.1 in the maker's harness, OSWorld 2.0's offline set or the earlier OSWorld-Verified. Those points are drawn so the release has a figure, and they are not ranked against the team's runs.
OSWorld 2.1, partial score, full 108-task set, v2.1 release. Where it has no run of a model, the maker's own figure or another lab's run stands in, marked with its benchmark.
The share of AA-LCR's questions the model answers correctly by reasoning across long sets of real documents, about 100K tokens each.
AA-LCR v1.1, accuracy, Artificial Analysis run
The share of MMMU-Pro's college-level questions over charts, diagrams and photos the model answers correctly.
MMMU-Pro, overall accuracy, no tools
The share of AA-Omniscience's 6,000 knowledge questions across 42 economically relevant topics the model answers correctly from memory, without search.
AA-Omniscience Accuracy, accuracy, Artificial Analysis run
The share of SpeechMap's 2,120 sensitive and controversial but legal requests the model answers in full: arguments, essays and explanations on contested themes in politics, religion, race, sex, history and similar topics, four wordings per theme across 530 themes. SpeechMap's judge rates each response complete, evasive (hedged or redirected), a denial, or an error (the provider's API blocked the request). Only complete answers count, so the point is the share answered in full: 100 minus the share hedged, refused or blocked by the provider. Higher means more lawful requests answered in full. The share blocked at the provider is printed apart in the table, because an API error is not the model declining. Where SpeechMap runs a release both with reasoning off and with reasoning on (a -reasoning or -thinking entry), the reasoning-on entry is used; a release with one entry uses that entry.
SpeechMap, % Complete over 2,120 contested requests, reasoning-on entry
The share of MultiChallenge's multi-turn conversations in which the model keeps every instruction it was given earlier in the conversation.
MultiChallenge, accuracy, Scale AI run
Cost, speed, capacity, quality and accuracy for Gemini 4 Argon, with where each figure sits among the 40 models GILD tracks. These measures stand beside the chart and never feed it.
$1.62per task
Cost per task. One Intelligence Index task at list price, every token counted. Run at high effort.
81tokens a second
Output speed. How fast it writes once the answer starts. Run at high effort.
1.05Mtokens
Context window. The most one request can hold, as the maker states it.
52.6of 100
Intelligence Index. One composite score across independent evaluations. Run at high effort.
4.3%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 high effort.
10of 19 routes
Routes offering it. Of the clouds, gateways and coding products GILD tracks, those offering it today.
Figures from Artificial Analysis, Google, Epoch AI and GILD's route matrix, read Oct 26 to Nov 1, 2026. Each measure's definition and source open under .
| Axis | Benchmark and setting | Gemini 4 Argon | Run | Source | Date |
|---|---|---|---|---|---|
| Agentic coding | Terminal-Bench 4.0Pass@1 averaged over 3 runs, mini-swe-agent harness | 57.6% | Gemini 4 ArgonEffort: not published. Harness: mini-swe-agent. | Vals.ai | Oct 24, 2026 |
| Code | SciCodeSubproblem accuracy, pass@1, highest effort run | 61.8% | Gemini 4 Argon (High)Effort: high. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Math | FrontierMath Tiers 1-3Accuracy, pass@1, highest effort run | 86% | Effort: high. Harness: none. | Epoch AI | Oct 13, 2026 |
| Science | GPQA DiamondAccuracy, pass@1, highest effort run | 96.4% | Effort: high. Harness: none. | Epoch AI | Oct 13, 2026 |
| Hard reasoning | Humanity's Last ExamAccuracy, text-only questions, no tools | 57.1% | Gemini 4 Argon (High)Effort: high. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Tool use | AutomationBench-AAScore, Artificial Analysis run | 77.5% | Gemini 4 Argon (High)Effort: high. Harness: Artificial Analysis AutomationBench harness. | Artificial Analysis | Oct 28, 2026 |
| Computer use | OSWorld 2.0Partial score, offline set, v2026.08.08 release. Google's own run at its highest thinking setting in its Gemini computer-use harness, best of 3 runs. No outside lab has run it.Stands in for OSWorld 2.1, partial score, full 108-task set, v2.1 release, which has no run of Gemini 4 Argon yet. | 69.2% | Gemini 4 ArgonEffort: high. Harness: Gemini CUA harness (OSWorld 2.0 repo), batch tool calls. | GoogleReported by Google | Sep 30, 2026 |
| Long context | AA-LCR v1.1Accuracy, Artificial Analysis run | 79.7% | Gemini 4 Argon (High)Effort: high. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Multimodal | MMMU-ProOverall accuracy, no tools | Not yet published by Google or any independent evaluator, checked Nov 2, 2026 | |||
| Factuality | AA-Omniscience AccuracyAccuracy, Artificial Analysis run | 48.3%Hallucination rate 4.3% in the same run (lower is better) | Gemini 4 Argon (High)Effort: high. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Answers in full | SpeechMap% Complete over 2,120 contested requests, reasoning-on entry. SpeechMap tested it through OpenRouter at medium reasoning and counted 10.2% of requests denied and 2.4% evaded. | 87%0.4% of requests failed at the provider and count against it | Effort: medium. Harness: none. | SpeechMap.AI | Oct 27, 2026 |
| Instruction following | MultiChallengeAccuracy, Scale AI run. On Oct 28, 2026, Scale AI ranked it 2nd. | 78.7%Plus or minus 5.3 points (95% interval) | Gemini 4 ArgonEffort: not published. Harness: none. | Scale AI SEAL | Oct 28, 2026 |
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.
| Model | Agentic coding | Code | Math | Science | Hard reasoning | Tool use | Computer use | Long context | Multimodal | Factuality | Answers in full | Instructions |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gemini 4 Argon | 57.6% | 61.8% | 86% | 96.4% | 57.1% | 77.5% | 69.2%Reported by GoogleOSWorld 2.0 | 79.7% | Not yet published | 48.3% | 87% | 78.7% |
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| Gemini 3.8 Flash | 19.7% | 56.6% | 68.4% | 95.4% | 47.8% | 59.9% | 59%Reported by GoogleOSWorld 2.0 | 81.3% | 85.6% | 50.5% | 86.1% | Not yet published |
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| Gemma 4 31B | Not yet published | 45.5% | Not yet published | 85.7%Run by Artificial AnalysisGPQA Diamond | 23.6% | 4.9% | Not yet published | 69.7% | 73.4% | 10.4%Run by Epoch AISimpleQA Verified | 82.3% | 75.6%Run by Artificial AnalysisIFBench |
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| Gemini 3.1 Pro Preview | 2.5% | 58.7% | 59.6% | 94.4% | 47% | 35.4% | Not yet published | 82% | 82.4% | 54.9% | 59.9% | 71.4% |
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| Gemini 3.6 Flash | 7.1%Run by Artificial AnalysisTerminal-Bench 4.0 | 53.4% | 58.9% | 94.1% | 40.8% | 53% | 83%Reported by GoogleOSWorld-Verified | 80% | 83.2% | 66.2%Run by Epoch AISimpleQA Verified | 87.2% | Not yet published |
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| Claude Haiku 5.5 | 36.4% | 55% | 75.1% | 89.6% | 44.4% | 35.4% | 72.4%Reported by AnthropicOSWorld 2.1 | 82.7% | Not yet published | 34.7% | 78.8% | 67.7% |
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| Claude Sonnet 5.5 | 64.1% | 61% | 88.8% | 95.6% | 55% | 71.8% | 80.1%Reported by Anthropic | 82.7% | Not yet published | 51.5% | 81.6% | Not yet published |
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| Claude Opus 5.5 | 65.2% | 66.9% | 91.2% | 90.6% | 61.4% | 69.5% | 81.8%Reported by Anthropic | 84.7% | 87.7% | 65.5% | 82.8% | Not yet published |
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| Claude Fable 5.1 | 58.1% | 63.1% | 90.2% | 93.4%Run by Vals.ai | 59.1% | 59.4% | 80.7%Reported by Anthropic | 85.3% | 86.3%Run by Moonshot AI | 68.4% | 72.4% | Not yet published |
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| Claude Opus 5 | 53.5% | 56.4% | 85.6% | 93.9% | 54.9% | 56.6% | 77.7% | 79.3% | 84.7% | 60.9% | 73.7% | Not yet published |
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| Claude Sonnet 5 | 10.6% | 54.3% | 65.6% | 80.3% | 41.3% | 36.5% | 57%Reported by Anthropic | 82% | 77.3% | 40.1% | Not yet published | Not yet published |
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| Claude Fable 5 | 41.4% | 61% | 87% | 85.9% | 55.5% | 54.1% | Not yet published | 82.3% | Not yet published | 65.4% | 64.8% | 63.5%Run by Artificial AnalysisIFBench |
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| Claude Opus 4.8 | 23.2% | 54.4% | 80% | 91% | 48.7% | 45.6% | 54.8%Run by OSWorld teamOSWorld 2.0 | 77.7% | Not yet published | 48.8% | 67.4% | 62.2%Run by Artificial AnalysisIFBench |
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| Claude Opus 4.7 | Not yet published | 54.5% | 70.2% | 86.4% | 42.3% | Not yet published | 48.9%Run by OSWorld teamOSWorld 2.0 | 78.7% | 78.8% | 48.9% | 70.2% | 58.6%Run by Artificial AnalysisIFBench |
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| Claude Sonnet 4.6 | 3%Run by Artificial AnalysisTerminal-Bench 4.0 | 50.1% | 71.1%Run by Epoch AIOTIS Mock AIME 2024-2025 | 78.8% | 33.6% | 20.1% | 41.5%Run by OSWorld teamOSWorld 2.0 | 80% | 73.3% | 40.9% | 35.8% | 56.6%Run by Artificial AnalysisIFBench |
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| Claude Opus 4.6 | Not yet published | Not yet published | 66% | 88.4% | 39.9% | Not yet published | Not yet published | 78% | 75.4% | 47% | 59.9% | 37.2% |
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| Claude Opus 4.5 | Not yet published | Not yet published | 34.4% | 86% | 30.1% | Not yet published | Not yet published | 77.3% | 74% | 46.6% | 57.5% | 59% |
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| Claude Haiku 4.5 | Not yet published | 42.2% | 66.7%Run by Epoch AIOTIS Mock AIME 2024-2025 | 71.2% | 10.4% | 3.2% | Not yet published | 74.3% | 58.6% | 18% | 24.7% | 50.5% |
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| Claude Sonnet 4.5 | Not yet published | 45.7% | 23.9% | 82.3% | 17.8% | 14.1% | Not yet published | 72.3% | 68.7% | 32.9% | 31.4% | 55.3% |
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| GPT-6.1 Terra | 49.5% | 55.1% | 90.9% | 94.3% | 46.2% | 60.2% | 74.2%Reported by OpenAIOSWorld 2.1 | 82.7% | 84.7% | 47.6% | Not yet published | 74.2% |
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| GPT-6.1 Sol | 55.1% | 54.2% | 93.7% | 95.4% | 52.9% | 64.9% | 78%Reported by OpenAIOSWorld 2.1 | 83% | 86% | 61.8% | 69.5% | 82% |
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| GPT-6 Luna | 13.6% | 54.6% | 78.9% | 90.5% | 38.5% | 53.2% | 48.9%Run by AnthropicOSWorld 2.1 | 83.3% | 79.7% | 39.6% | 63.4% | Not yet published |
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| GPT-6 Astra | 59.6% | 56.5% | 93.7% | 95.8% | 54.7% | 68.5% | 75.8%Run by Meta | 80.7% | 86.9% | 61.6% | 68.2% | Not yet published |
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| GPT-5.6 Sol | 37.9% | 57.1% | 89.1% | 93.5% | 49.5% | 60.1% | 62.7%Run by OSWorld teamOSWorld 2.0 | 84% | 83.4% | 69.7%Run by Epoch AISimpleQA Verified | Not yet published | 72.7%Run by Artificial AnalysisIFBench |
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| GPT-5.6 Terra | 22.7% | 55% | 86% | 93.3% | 42.9% | 59.6% | Not yet published | 83% | 80.7% | 42.3% | Not yet published | 71.2%Run by Artificial AnalysisIFBench |
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| GPT-5.6 Luna | 11.6% | 53.6% | 82.1% | 91.6% | 39.5% | 50.2% | Not yet published | 83.7% | 78.6% | 41%Run by Epoch AISimpleQA Verified | Not yet published | Not yet published |
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| GPT-5.5 | 14.6%Run by Artificial AnalysisTerminal-Bench 4.0 | 55.8% | 85.3% | 93.5%Run by Artificial Analysis | 45.8% | 47.3% | 49.5%Run by OSWorld teamOSWorld 2.0 | 84.3% | 79.9% | 63%Run by Epoch AISimpleQA Verified | Not yet published | 75.9%Run by Artificial AnalysisIFBench |
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| GPT-5.4 | Not yet published | Not yet published | 78.6% | 93.3% | 43.7% | Not yet published | Not yet published | 82% | 78.4% | Not yet published | Not yet published | 73.9%Run by Artificial AnalysisIFBench |
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| gpt-oss-120b | 14.2%Run by Terminal-Bench (via Epoch AI)Terminal-Bench 2.0 | 34% | 88.9%Run by Epoch AIOTIS Mock AIME 2024-2025 | 75.8% | 19.6% | 0.2% | Not yet published | 52% | Not yet published | 16.8%Reported by OpenAISimpleQA | 36.3% | 45.3% |
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| GPT-6 Sol | 44.4% | 57.6% | 89.8% | 94.3% | 47.9% | 61.6% | 64.4%Reported by OpenAIOSWorld 2.0 | 83.7% | 82.9% | 54.5% | 64% | Not yet published |
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| GPT-5.3-Codex | Not yet published | Not yet published | Not yet published | 91.5%Run by Artificial Analysis | 42.5% | Not yet published | Not yet published | 83.3% | 78.5% | Not yet published | Not yet published | 75.4%Run by Artificial AnalysisIFBench |
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| DeepSeek V4.1 Flash | 31.8% | 55.9% | 71.2% | 93.2% | 43.3% | 66.6% | 69.3%Run by Moonshot AIOSWorld 2.1 | 82.7% | 80.6% | 39.6% | Not yet published | 74.9% |
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| DeepSeek V4 Pro | 14.1% | 51% | 64.6% | 91.7% | 41% | 56.7% | Not yet published | 80.3% | Not yet published | 45.2% | 72% | Not yet published |
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| Kimi K3.1 Pro | 63.6% | 60.8% | Not yet published | 94.2%Reported by Moonshot AI | 52.5% | 73.3% | 79.6%Reported by Moonshot AIOSWorld 2.1 | 86.3% | 83.9% | 48.9% | Not yet published | Not yet published |
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| Kimi K3 | 17.2% | 59.5% | 72.2% | 93.1% | 46.9% | 58.3% | Not yet published | 88.7% | 80.5% | 50.6%Run by Epoch AISimpleQA Verified | 65.9% | Not yet published |
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| Kimi K2.7 Code | 1%Run by Artificial AnalysisTerminal-Bench 4.0 | 47.8% | 54% | 87.9% | 35% | 24.5% | Not yet published | 79.3% | Not yet published | 36.5%Run by Epoch AISimpleQA Verified | Not yet published | 63.1%Run by Artificial AnalysisIFBench |
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| Mistral Large 4 | 24.7%Run by Artificial AnalysisTerminal-Bench 4.0 | Not yet published | Not yet published | Not yet published | Not yet published | 57.8% | Not yet published | Not yet published | Not yet published | 26% | Not yet published | Not yet published |
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| Mistral Medium 3.5 | 0%Run by Artificial AnalysisTerminal-Bench 4.0 | 40.2% | Not yet published | 74.8%Run by Artificial AnalysisGPQA Diamond | 13.8% | 6.3% | Not yet published | 69.3% | 64.9% | 23% | 70.5% | 68.8%Run by Artificial AnalysisIFBench |
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| Grok 4.7 | 28.8% | 57.4% | 53% | 92.7% | 43.1% | 65.6% | Not yet published | 76.7% | Not yet published | 42.7% | 64.1% | Not yet published |
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| Grok 4.6 | 17.2% | 56.5% | 66% | 93.2% | 42.9% | 66.7% | Not yet published | 80.3% | Not yet published | 48.9%Run by Epoch AISimpleQA Verified | 83.6% | Not yet published |
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| Grok 4.5 | 8.6% | 55% | 57.2% | 93.4% | 42.7% | 57.9% | Not yet published | 79.3% | 80.4% | 48.3%Run by Epoch AISimpleQA Verified | 93.1% | Not yet published |
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| MiniMax M3.1 Flash | 25.3% | 53.4% | Not yet published | Not yet published | 48% | 72.5% | 61.7%Reported by MiniMaxOSWorld 2.0 | 79.7% | 79.1% | 45.1% | Not yet published | Not yet published |
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| Mercury 3 | 3% | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published |
| GLM-5.3-Flash | 37.4% | 51.6% | 55.8% | 90.2% | 39.9% | 60.4% | 59.1%Reported by Z.aiOSWorld 2.0 | 80% | 86%Run by Vals.aiMMMU-Pro | 28.2% | 65.4% | Not yet published |
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| GLM-5.3 | 38.9% | 59% | 68.8% | 90.9% | 42.3% | 62.2% | Not yet published | 79.7% | Not yet published | 32.3% | 71.5% | Not yet published |
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| GLM-5.2 | 1%Run by Artificial AnalysisTerminal-Bench 4.0 | 51.2% | 59.2% | Not yet published | 41.1% | 28.4% | Not yet published | 78.3% | Not yet published | 34.2%Run by Epoch AISimpleQA Verified | Not yet published | 73.3%Run by Artificial AnalysisIFBench |
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| Muse Spark Open | 6.6% | 58.4% | 69.8% | 88.6% | 43.9% | 49.7% | 80.4%Reported by MetaOSWorld-Verified | 78.3% | 80.9% | 42% | Not yet published | 74.2% |
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| Muse Wonder | 49.5% | 60.3% | 82.1% | Not yet published | 50.1% | 68.1% | 72.6%Reported by Meta | 80.7% | Not yet published | 38% | 42.7% | Not yet published |
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| Muse Spark 1.3 | 10.6% | 58.8% | 74% | 93.5%Run by Artificial AnalysisGPQA Diamond | 48.7% | 57.9% | 69.6% | 83% | 82% | 38% | 25.8% | Not yet published |
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| Llama 4 Scout | Not yet published | 21.3% | 7.8%Run by Epoch AIOTIS Mock AIME 2024-2025 | 51.8% | 3.8% | 0.2% | Not yet published | 27.7% | 52.9% | Not yet published | 70.1% | 39.5%Run by Artificial AnalysisIFBench |
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| Llama 4 Maverick | Not yet published | 31.7% | 20.6%Run by Epoch AIOTIS Mock AIME 2024-2025 | 67% | 4.9% | 0.2% | Not yet published | 50% | 62.1% | Not yet published | 58.3% | 43%Run by Artificial AnalysisIFBench |
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| Qwen3.8 27B | 5.6%Run by Artificial AnalysisTerminal-Bench 4.0 | 46.6% | Not yet published | 90.5%Run by Artificial AnalysisGPQA Diamond | 33.9% | 48.2% | 84.3%Reported by AlibabaOSWorld-Verified | 82% | 76.3% | 17.3% | Not yet published | 79.5%Reported by AlibabaIFBench |
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| Qwen3.8 Max | 38.9% | 52.1% | 65.6% | 92.3% | 43.1% | 56.2% | Not yet published | 80.3% | 82.8% | 29.5% | 65.3% | Not yet published |
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| MiMo-V2.6-Pro | 31.3% | 60.9% | Not yet published | Not yet published | 49.4% | 58.6% | 82%Reported by XiaomiOSWorld-Verified | 86.3% | Not yet published | 34.8% | 66.5% | Not yet published |
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| MiMo-V2.6-Flash | 24.2% | 51.3% | Not yet published | Not yet published | 35.1% | 64.1% | 80.8%Reported by XiaomiOSWorld-Verified | 74.3% | 73.1% | 27.2% | 66.9% | Not yet published |
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| Ling 3.1 Flash | 32.8%Run by Artificial AnalysisTerminal-Bench 4.0 | 56.8% | Not yet published | Not yet published | 43.5% | 67.5% | Not yet published | 82.3% | Not yet published | 26.5% | Not yet published | Not yet published |
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| Step 5 Preview | 31.8% | 58.9% | Not yet published | 93.5%Reported by StepFunGPQA Diamond | 46.5% | 51% | Not yet published | 88.3% | 76.4% | 36.4% | 59.7% | Not yet published |
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The other models in the grid have no result on Terminal-Bench 4.0 yet.
The other models in the grid have no result on SciCode yet.
The other models in the grid have no result on FrontierMath Tiers 1-3 yet.
The other models in the grid have no result on GPQA Diamond yet.
The other models in the grid have no result on Humanity's Last Exam yet.
The other models in the grid have no result on AutomationBench-AA yet.
The other models in the grid have no result on OSWorld 2.1 yet.
The other models in the grid have no result on AA-LCR v1.1 yet.
The other models in the grid have no result on MMMU-Pro yet.
The other models in the grid have no result on AA-Omniscience Accuracy yet.
The other models in the grid have no result on SpeechMap yet.
The other models in the grid have no result on MultiChallenge yet.
Every Gemini Pro release we track, newest first.
Strongest on Quality and reasoning, weakest on Reliability.
Each figure is the share of accounts naming Gemini 4 Argon 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.
| Axis | Favorable | Accounts |
|---|---|---|
| Quality and reasoningWhether its answers and code are right on the author's own task: reasoning, accuracy, instruction following, and consistency. | 63% | 22 favorable, 13 not, 35 authors |
| Tool use and structured outputWhether it calls tools correctly, returns valid structured output, and keeps agent loops on track. | 25% | 2 favorable, 6 not, 8 authors |
| Long contextHow it holds up over long documents, large codebases, long sessions, and many images or PDFs. | 25% | 2 favorable, 6 not, 8 authors |
| Developer experienceHow it is to build with: prompting, steering, effort settings, and support across SDKs and providers. | 33% | 3 favorable, 6 not, 9 authors |
| CostWhat the work costs: price per task, token use, and what caching and batch save. | 35% | 7 favorable, 13 not, 20 authors |
| SpeedResponse time, time to first token, and throughput. | 45% | 5 favorable, 6 not, 11 authors |
| ReliabilityWhether requests keep succeeding: overloaded errors, outages, rate limits, and changes that broke what worked. | 5% | 1 favorable, 18 not, 19 authors |
| Axis | Gemini 4 Argon | Gemini 3.8 Flash | Gemma 4 31B | Gemini 3.1 Pro Preview | Gemini 3.6 Flash | Claude Haiku 5.5 | Claude Sonnet 5.5 | Claude Opus 5.5 | Claude Fable 5.1 | Claude Opus 5 | Claude Sonnet 5 | Claude Fable 5 | Claude Opus 4.8 | Claude Opus 4.7 | Claude Sonnet 4.6 | Claude Opus 4.6 | Claude Opus 4.5 | Claude Haiku 4.5 | Claude Sonnet 4.5 | GPT-6.1 Terra | GPT-6.1 Sol | GPT-6 Luna | GPT-6 Astra | GPT-5.6 Sol | GPT-5.6 Terra | GPT-5.6 Luna | GPT-5.5 | GPT-5.4 | gpt-oss-120b | GPT-6 Sol | GPT-5.3-Codex | DeepSeek V4.1 Flash | DeepSeek V4 Pro | Kimi K3.1 Pro | Kimi K3 | Kimi K2.7 Code | Mistral Large 4 | Mistral Medium 3.5 | Grok 4.7 | Grok 4.6 | Grok 4.5 | MiniMax M3.1 Flash | Mercury 3 | GLM-5.3-Flash | GLM-5.3 | GLM-5.2 | Muse Spark Open | Muse Wonder | Muse Spark 1.3 | Llama 4 Scout | Llama 4 Maverick | Qwen3.8 27B | Qwen3.8 Max | MiMo-V2.6-Pro | MiMo-V2.6-Flash | Ling 3.1 Flash | Step 5 Preview |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Quality and reasoning | 63%22 favorable, 13 not, 35 authors | 56%27 favorable, 21 not, 45 authors | 80%24 favorable, 6 not, 28 authors | 56%20 favorable, 16 not, 36 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 73%19 favorable, 7 not, 26 authors | 64%14 favorable, 8 not, 22 authors | 68%17 favorable, 8 not, 25 authors | 54%15 favorable, 13 not, 28 authors | 50%6 favorable, 6 not, 12 authors | 56%9 favorable, 7 not, 16 authors | 68%13 favorable, 6 not, 18 authors | 68%17 favorable, 8 not, 25 authors | 57%12 favorable, 9 not, 21 authors | 67%12 favorable, 6 not, 18 authors | 70%19 favorable, 8 not, 27 authors | 62%13 favorable, 8 not, 20 authors | 58%14 favorable, 10 not, 24 authors | 69%11 favorable, 5 not, 16 authors | 33%3 favorable, 6 not, 8 authors | 55%12 favorable, 10 not, 22 authors | 55%16 favorable, 13 not, 29 authors | 44%12 favorable, 15 not, 26 authors | 33%3 favorable, 6 not, 9 authors | 38%3 favorable, 5 not, 8 authors | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | 33%4 favorable, 8 not, 12 authors | 33%2 favorable, 4 not, 6 authors | 58%22 favorable, 16 not, 38 authors | 31%10 favorable, 22 not, 32 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 61%25 favorable, 16 not, 40 authors | Only concerns on record0 favorable, 4 not, 4 authors | 59%20 favorable, 14 not, 32 authors | Only praise on record3 favorable, 0 not, 3 authors | 50%3 favorable, 3 not, 6 authors | 58%11 favorable, 8 not, 18 authors | 36%5 favorable, 9 not, 14 authors | 43%16 favorable, 21 not, 36 authors | 86%6 favorable, 1 not, 7 authors | 60%3 favorable, 2 not, 5 authors | 62%13 favorable, 8 not, 21 authors | 86%18 favorable, 3 not, 21 authors | 67%14 favorable, 7 not, 21 authors | 76%47 favorable, 15 not, 61 authors | 71%5 favorable, 2 not, 7 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 20%1 favorable, 4 not, 5 authors | Only praise on record2 favorable, 0 not, 2 authors | 53%8 favorable, 7 not, 15 authors | 44%8 favorable, 10 not, 17 authors | 71%24 favorable, 10 not, 34 authors | 57%4 favorable, 3 not, 7 authors | 22%2 favorable, 7 not, 9 authors | 40%4 favorable, 6 not, 10 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors |
| Tool use and structured output | 25%2 favorable, 6 not, 8 authors | 47%7 favorable, 8 not, 15 authors | 67%4 favorable, 2 not, 6 authors | 54%7 favorable, 6 not, 12 authors | Only concerns on record0 favorable, 1 not, 1 author | 67%6 favorable, 3 not, 9 authors | 40%4 favorable, 6 not, 10 authors | 46%6 favorable, 7 not, 13 authors | 30%3 favorable, 7 not, 10 authors | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | 70%7 favorable, 3 not, 10 authors | 57%4 favorable, 3 not, 7 authors | 50%4 favorable, 4 not, 8 authors | 50%4 favorable, 4 not, 8 authors | 29%2 favorable, 5 not, 7 authors | 33%4 favorable, 8 not, 12 authors | 70%7 favorable, 3 not, 10 authors | 43%3 favorable, 4 not, 6 authors | 50%3 favorable, 3 not, 6 authors | 40%2 favorable, 3 not, 5 authors | 40%4 favorable, 6 not, 10 authors | 33%3 favorable, 6 not, 9 authors | 62%8 favorable, 5 not, 13 authors | No accounts yet | Only concerns on record0 favorable, 2 not, 2 authors | Only praise on record1 favorable, 0 not, 1 author | Only praise on record1 favorable, 0 not, 1 author | No accounts yet | 27%4 favorable, 11 not, 15 authors | 56%5 favorable, 4 not, 9 authors | No accounts yet | 59%10 favorable, 7 not, 17 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | 38%5 favorable, 8 not, 13 authors | Only concerns on record0 favorable, 5 not, 5 authors | 38%6 favorable, 10 not, 16 authors | Only praise on record2 favorable, 0 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author | 67%4 favorable, 2 not, 6 authors | 80%8 favorable, 2 not, 10 authors | 33%2 favorable, 4 not, 6 authors | 57%4 favorable, 3 not, 7 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Needs 5 accounts from 3 authors1 favorable, 2 not, 3 authors | Only concerns on record0 favorable, 4 not, 4 authors | 46%6 favorable, 7 not, 13 authors | Only praise on record1 favorable, 0 not, 1 author | Only concerns on record0 favorable, 5 not, 5 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author |
| Long context | 25%2 favorable, 6 not, 8 authors | 38%5 favorable, 8 not, 13 authors | 20%1 favorable, 4 not, 5 authors | 44%7 favorable, 9 not, 16 authors | Only praise on record1 favorable, 0 not, 1 author | 29%2 favorable, 5 not, 7 authors | 60%3 favorable, 2 not, 5 authors | 80%8 favorable, 2 not, 10 authors | 63%5 favorable, 3 not, 8 authors | 67%4 favorable, 2 not, 6 authors | 50%3 favorable, 3 not, 6 authors | 33%2 favorable, 4 not, 6 authors | 60%6 favorable, 4 not, 10 authors | 50%4 favorable, 4 not, 7 authors | 71%5 favorable, 2 not, 7 authors | 64%7 favorable, 4 not, 11 authors | 40%4 favorable, 6 not, 10 authors | 40%2 favorable, 3 not, 5 authors | 50%4 favorable, 4 not, 8 authors | Only concerns on record0 favorable, 1 not, 1 author | 38%3 favorable, 5 not, 8 authors | 20%1 favorable, 4 not, 5 authors | 27%3 favorable, 8 not, 11 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 25%2 favorable, 6 not, 8 authors | Only concerns on record0 favorable, 3 not, 3 authors | No accounts yet | 58%7 favorable, 5 not, 12 authors | No accounts yet | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | Only praise on record1 favorable, 0 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | No accounts yet | 42%5 favorable, 7 not, 12 authors | No accounts yet | No accounts yet | 40%2 favorable, 3 not, 5 authors | 60%3 favorable, 2 not, 5 authors | No accounts yet | 40%2 favorable, 3 not, 5 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 3 not, 3 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 75%6 favorable, 2 not, 8 authors | Only praise on record1 favorable, 0 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | No accounts yet | No accounts yet |
| Developer experience | 33%3 favorable, 6 not, 9 authors | 39%7 favorable, 11 not, 17 authors | Only concerns on record0 favorable, 7 not, 7 authors | 40%8 favorable, 12 not, 20 authors | No accounts yet | 25%2 favorable, 6 not, 8 authors | 38%5 favorable, 8 not, 13 authors | 38%6 favorable, 10 not, 16 authors | 50%7 favorable, 7 not, 14 authors | 25%3 favorable, 9 not, 12 authors | 29%2 favorable, 5 not, 7 authors | 25%3 favorable, 9 not, 12 authors | 53%10 favorable, 9 not, 19 authors | 29%4 favorable, 10 not, 14 authors | 57%4 favorable, 3 not, 7 authors | 45%5 favorable, 6 not, 11 authors | 67%8 favorable, 4 not, 12 authors | Needs 5 accounts from 3 authors2 favorable, 2 not, 4 authors | 50%3 favorable, 3 not, 6 authors | Only concerns on record0 favorable, 2 not, 2 authors | 27%3 favorable, 8 not, 11 authors | 25%2 favorable, 6 not, 8 authors | 41%7 favorable, 10 not, 17 authors | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | No accounts yet | No accounts yet | 14%1 favorable, 6 not, 7 authors | 25%3 favorable, 9 not, 12 authors | No accounts yet | 35%8 favorable, 15 not, 23 authors | No accounts yet | 9%1 favorable, 10 not, 11 authors | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | 13%2 favorable, 14 not, 16 authors | Only concerns on record0 favorable, 9 not, 9 authors | 25%5 favorable, 15 not, 20 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 7 not, 7 authors | 11%1 favorable, 8 not, 9 authors | Only concerns on record0 favorable, 3 not, 3 authors | 33%5 favorable, 10 not, 15 authors | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | Only concerns on record0 favorable, 6 not, 6 authors | Only concerns on record0 favorable, 1 not, 1 author | 17%1 favorable, 5 not, 6 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | No accounts yet |
| Cost | 35%7 favorable, 13 not, 20 authors | 58%14 favorable, 10 not, 23 authors | Only praise on record7 favorable, 0 not, 7 authors | 50%8 favorable, 8 not, 16 authors | Only concerns on record0 favorable, 1 not, 1 author | 69%20 favorable, 9 not, 29 authors | 45%10 favorable, 12 not, 22 authors | 56%15 favorable, 12 not, 27 authors | 20%4 favorable, 16 not, 20 authors | 43%3 favorable, 4 not, 7 authors | 39%7 favorable, 11 not, 17 authors | 8%1 favorable, 11 not, 12 authors | 40%6 favorable, 9 not, 14 authors | 50%7 favorable, 7 not, 13 authors | 50%6 favorable, 6 not, 12 authors | 33%7 favorable, 14 not, 20 authors | 53%8 favorable, 7 not, 15 authors | 29%4 favorable, 10 not, 12 authors | 38%3 favorable, 5 not, 8 authors | 80%8 favorable, 2 not, 9 authors | 74%14 favorable, 5 not, 19 authors | 79%22 favorable, 6 not, 26 authors | 29%7 favorable, 17 not, 23 authors | 57%4 favorable, 3 not, 7 authors | Only concerns on record0 favorable, 1 not, 1 author | 50%3 favorable, 3 not, 6 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 63%5 favorable, 3 not, 8 authors | 60%3 favorable, 2 not, 5 authors | 55%12 favorable, 10 not, 21 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 66%25 favorable, 13 not, 37 authors | Only praise on record2 favorable, 0 not, 2 authors | 40%10 favorable, 15 not, 25 authors | 71%5 favorable, 2 not, 7 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 27%3 favorable, 8 not, 11 authors | Only concerns on record0 favorable, 8 not, 8 authors | 19%5 favorable, 21 not, 26 authors | 20%1 favorable, 4 not, 5 authors | Only praise on record4 favorable, 0 not, 4 authors | 80%12 favorable, 3 not, 15 authors | 50%6 favorable, 6 not, 12 authors | 76%16 favorable, 5 not, 21 authors | 35%8 favorable, 15 not, 23 authors | 71%5 favorable, 2 not, 7 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 9 not, 9 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | Only praise on record1 favorable, 0 not, 1 author | Only praise on record1 favorable, 0 not, 1 author | Needs 5 accounts from 3 authors2 favorable, 2 not, 4 authors | Only concerns on record0 favorable, 2 not, 2 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Only praise on record3 favorable, 0 not, 3 authors | Only praise on record1 favorable, 0 not, 1 author | Only praise on record1 favorable, 0 not, 1 author |
| Speed | 45%5 favorable, 6 not, 11 authors | 61%19 favorable, 12 not, 31 authors | 53%10 favorable, 9 not, 17 authors | 35%6 favorable, 11 not, 16 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 74%14 favorable, 5 not, 19 authors | 88%14 favorable, 2 not, 16 authors | 46%6 favorable, 7 not, 13 authors | 44%4 favorable, 5 not, 9 authors | 60%3 favorable, 2 not, 5 authors | 44%4 favorable, 5 not, 9 authors | 57%4 favorable, 3 not, 7 authors | 31%4 favorable, 9 not, 13 authors | 63%5 favorable, 3 not, 8 authors | 17%1 favorable, 5 not, 6 authors | 36%4 favorable, 7 not, 11 authors | 73%8 favorable, 3 not, 11 authors | 78%7 favorable, 2 not, 9 authors | 75%6 favorable, 2 not, 8 authors | 83%5 favorable, 1 not, 5 authors | 37%7 favorable, 12 not, 19 authors | 45%5 favorable, 6 not, 11 authors | 41%7 favorable, 10 not, 17 authors | Only praise on record1 favorable, 0 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | 80%4 favorable, 1 not, 5 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | No accounts yet | 85%23 favorable, 4 not, 27 authors | 57%4 favorable, 3 not, 7 authors | Only praise on record1 favorable, 0 not, 1 author | 68%21 favorable, 10 not, 30 authors | Only concerns on record0 favorable, 1 not, 1 author | 21%4 favorable, 15 not, 19 authors | Only concerns on record0 favorable, 2 not, 2 authors | No accounts yet | 21%3 favorable, 11 not, 14 authors | Only concerns on record0 favorable, 2 not, 2 authors | 29%5 favorable, 12 not, 17 authors | Needs 5 accounts from 3 authors1 favorable, 2 not, 3 authors | Only praise on record2 favorable, 0 not, 2 authors | 44%4 favorable, 5 not, 9 authors | 65%13 favorable, 7 not, 20 authors | 33%3 favorable, 6 not, 9 authors | 20%3 favorable, 12 not, 15 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | No accounts yet | 33%7 favorable, 14 not, 21 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 2 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author |
| Reliability | 5%1 favorable, 18 not, 19 authors | 15%3 favorable, 17 not, 20 authors | Only concerns on record0 favorable, 5 not, 5 authors | 14%3 favorable, 19 not, 22 authors | Only concerns on record0 favorable, 1 not, 1 author | 20%1 favorable, 4 not, 5 authors | 18%2 favorable, 9 not, 11 authors | 13%1 favorable, 7 not, 8 authors | 9%1 favorable, 10 not, 11 authors | 13%1 favorable, 7 not, 8 authors | 63%5 favorable, 3 not, 7 authors | 22%2 favorable, 7 not, 9 authors | 17%2 favorable, 10 not, 12 authors | 18%2 favorable, 9 not, 11 authors | 17%1 favorable, 5 not, 6 authors | 20%3 favorable, 12 not, 15 authors | 38%6 favorable, 10 not, 16 authors | 29%2 favorable, 5 not, 7 authors | 40%4 favorable, 6 not, 10 authors | Only concerns on record0 favorable, 1 not, 1 author | 13%1 favorable, 7 not, 8 authors | Only concerns on record0 favorable, 5 not, 5 authors | 14%2 favorable, 12 not, 14 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | Only concerns on record0 favorable, 2 not, 2 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 4 not, 4 authors | 17%1 favorable, 5 not, 6 authors | Only concerns on record0 favorable, 3 not, 3 authors | 42%5 favorable, 7 not, 12 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | 8%1 favorable, 12 not, 13 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | 38%3 favorable, 5 not, 8 authors | Only concerns on record0 favorable, 4 not, 4 authors | 22%2 favorable, 7 not, 9 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | 60%3 favorable, 2 not, 5 authors | 33%2 favorable, 4 not, 5 authors | Only concerns on record0 favorable, 7 not, 7 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | Only concerns on record0 favorable, 2 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 9 not, 9 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 2 not, 2 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author |
GILD searched Hacker News, GitHub, Reddit, X, Artificial Analysis, the Google AI Developers Forum and the web for accounts that name Gemini 4 Argon.
amongst the leading models in intelligence
Artificial Analysis - Gemini 4 Argon. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. Gemini 4 Argon (reasoning).
11 small bug fixes from my own projects). It solved 10 of 11
Own coding eval of Gemini 4 Argon via OpenRouter. ariwilson, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon via OpenRouter in the pi harness, 11 small bug fixes.
Argon is a near-frontier model for engineering design, code analysis, and chat
Gertlabs evaluation of Gemini 4 Argon in 100 coding environments. gertlabs, account for the Gertlabs model rankings (gertlabs.com), self-described, Oct 14, 2026. Gemini 4 Argon in 100 competitive and cooperative coding environments.
it seems to be doing worse than 3.8 flash in some coding tasks
First day of Gemini 4 Argon on mid-sized coding tasks. Revanche1367, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon on complex mid-sized real world coding tasks.
Excellent model. Same price and score as Opus 5.5 in our 23 question exam.
Gemini 4 Argon on a data analytics benchmark. chriddyp, Hacker News commenter posting the Plotly data analytics benchmark, self-described, Oct 14, 2026. Gemini 4 Argon on a 23 question data analytics exam (Plotly blog benchmark).
I'm extremely impressed with Argon thus far
Impressed with Gemini 4 Argon. A_D_E_P_T, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon in early use after general availability.
I would say as good as Opus 5.5
Gemini 4 Argon on a Pac Man bakeoff. thefourthchime, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon in the author's Pac Man bakeoff against Opus 5.5.
I'd put it at B tier, just under gpt 6.1 sol
Image to HTML test for Gemini 4 Argon. jjcm, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon on the author's image to HTML test.
this is the first time I get something that, while still needing some tweaks, basically looks like the patch sheet
Gemini 4 Argon builds an HTML synth patch sheet. fipar, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon turning a synth patch sheet image into HTML.
argon is not even close to Opus 5.5 or even 6.1 Sol
Gemini 4 Argon not close to Opus 5.5. chaostheory, Hacker News commenter, self-described, Oct 16, 2026. Gemini 4 Argon compared with Opus 5.5, GPT 6.1 Sol and Gemini 3.1 Pro.
I just tried Gemini 4 Argon and it seems to have nailed it
Gemini 4 Argon on handwritten journal OCR. jiggawatts, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon in AI Studio on a handwritten journal OCR task.
is an acceptably high quality model for coding
Gemini 4 Argon on the $20 Google plan. SwellJoe, Hacker News commenter, self-described, Oct 23, 2026. Gemini 4 Argon on the $20 Google AI subscription.
It did it, as well as I would have and in much less time
Gemini 4 Argon builds a payments web app. mpyne, Hacker News commenter, self-described, Oct 19, 2026. Gemini 4 Argon (Google Argon 4) set to high, building a web app.
I don't find Argon to be usable for any big tasks because it really does a big mess every now and then
Gemini 4 Argon not usable for big tasks. egeozcan, Hacker News commenter, self-described, Oct 24, 2026. Argon (Gemini 4 Argon) on big coding tasks, compared with Astra.
Other models, like Muse Wonder and Argon, are a total waste of time
Gemini 4 Argon a waste of time for software work. a3nz3g, Hacker News commenter, self-described, Oct 24, 2026. Argon (Gemini 4 Argon) for software development, compared with Opus and Sol.
Argon is the worst model. Wrecked multiple codebases.
Gemini 4 Argon wrecked codebases. theturtletalks, Hacker News commenter, self-described, Oct 15, 2026. Argon (Gemini 4 Argon) in the author's software factory.
Argon is exceptional at writing tasks
Gemini 4 Argon on writing tasks. heyjamesknight, Hacker News commenter, self-described, Oct 14, 2026. Argon (Gemini 4 Argon) on writing tasks.
Argon just flat out writes better
Gemini 4 Argon writes better than Opus. mwigdahl, Hacker News commenter, self-described, Oct 14, 2026. Argon (Gemini 4 Argon) for writing, compared with Opus 5.5.
In contrast, Argon was the first model to
Gemini 4 Argon explains an OCT scan. sebmellen, Hacker News commenter, self-described, Oct 13, 2026. Argon (Gemini 4 Argon) explaining retina OCT scan results.
was quite shocked how well it did it
Gemini Argon improves multiplayer latency. agge, Hacker News commenter, self-described, Oct 19, 2026. Gemini Argon (Gemini 4 Argon) on a multiplayer game's networking code.
Astra still outperforms Argon for me.
Astra outperforms Gemini 4 Argon. drivebyhooting, Hacker News commenter, self-described, Oct 15, 2026. Argon (Gemini 4 Argon) compared with GPT-6 Astra.
The results are a bit disappointing given Googles scale and training data.
Gemini 4 Argon on a video creation benchmark. dsco, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon on the cliphou.se video creation benchmark.
the model has been a delight so far
Gemini 4 Argon via the API for writing. postalcoder, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon via the API.
I'm using Gemini Argon 4 now with antigravity cli and it can absolutely code.
Gemini 4 Argon in Antigravity CLI can code. etoxin, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon (Gemini Argon 4) with Antigravity CLI.
its coding performance is underwhelming
How Bad Is Gemini 4 Argon?. Suparva, Google AI Developers Forum user, self-described, Oct 16, 2026. Gemini 4 Argon for coding.
the thought process was remarkably responsive and well-structured
First impressions of Gemini 4 Argon in the Antigravity app. Roedy_Rustam, Google AI Developers Forum user, self-described, Oct 23, 2026. Gemini 4 Argon Medium in the Antigravity app on TypeScript refactoring.
Argon almost always spots flaws Flash missed and cleans up the logic
Best Antigravity workflow for now: Flash 3.8 + Argon. Shvan, Google AI Developers Forum user, self-described, Oct 18, 2026. Gemini 4 Argon in the Gemini app reviewing plans drafted by 3.8 Flash.
repeatedly engaged in specification gaming (reward hacking) and fabricated completion reporting
Gemini 4 Argon High engages in specification gaming. K.Kazantzoglou, Google AI Developers Forum user, self-described, Oct 22, 2026. Gemini 4 Argon (High) in Google Antigravity on an enterprise engineering evaluation.
All without changing a single pixel, that too in one attempt.
Gemini 4 Argon refactors a 4,290 line file. thebuggeddev, self-described software developer, Oct 15, 2026. Gemini 4 Argon refactoring its own 3D website.
landing very close to Opus 5.5 (max)
Gemini Argon 4 on real work in Antigravity CLI. PawelHuryn, X user, self-described, Oct 14, 2026. Gemini 4 Argon (Gemini Argon 4) with Antigravity CLI on the author's real work benchmark.
Hallucinations haven't gone anywhere.
Gemini 4 Argon first impressions. Gegam245074, X user, self-described, Oct 14, 2026. Gemini 4 Argon on a Node.js project and chat.
passed every quality gate I have and still made my code worse
Gemini 4 Argon gamed the quality gates. Foxfire1st, X user, self-described, Oct 24, 2026. Gemini 4 Argon in OpenCode on a typed Python codebase.
the best model I've used for learning
Gemini 4 Argon reliable on the flex endpoint. gst_enjoyer, X user, self-described, Oct 25, 2026. Gemini 4 Argon on the flex endpoint, for learning.
but the output quality? i'm not fully sold yet.
Gemini 4 Argon High vibe check. parves075, X user, self-described, Oct 23, 2026. Gemini 4 Argon High on the author's vibe check prompt.
Argon is also good at coding.
Gemini 4 Argon impressions. pankajkumar_dev, X user, self-described, Oct 14, 2026. Gemini 4 Argon on 3D, frontend and coding tasks.
Argon ties Fable 5 at the top of the Cursor leaderboard on security
Gemini 4 Argon on Cursor: solid security score, two unique solves, but slower and more expensive. Endor Labs, application security company; post by Luca Compagna, self-described, Oct 20, 2026. Gemini 4 Argon in the Cursor harness on the Agent Security League tasks.
Google returns to the top spot on our overall vision benchmark
Google Is Back! Gemini 4 Argon Leads Our Vision Benchmark. Roboflow, computer vision platform; post by Piotr Skalski, self-described, Oct 15, 2026. Gemini 4 Argon at low and high effort on Roboflow's vision benchmark.
As expected, they are all excellent
Release: llm-gemini 0.35. Simon Willison, creator of Datasette and the LLM tool, self-described, Oct 13, 2026. Gemini 4 Argon via the Gemini API in llm-gemini 0.35, low, medium and high.
I'd put it at around Opus 5.5.
Gemini 4: Argon - Early Access Review. JK Gunnink, Google Developer Expert and founder of RocketFlag, self-described, Oct 20, 2026. Gemini 4 Argon on high reasoning in Antigravity across three coding projects. The author is in the maker's expert program, so this account counts toward no figure.
older Google models struggled to work efficiently in a harness. They seem to have solved that with Argon
Gertlabs evaluation of Gemini 4 Argon in 100 coding environments. gertlabs, account for the Gertlabs model rankings (gertlabs.com), self-described, Oct 14, 2026. Gemini 4 Argon in 100 competitive and cooperative coding environments.
multi-turn tool loops fail with upstream HTTP 400
Missing thought_signature on tool calling with gemini-4-argon. Likhixang, GitHub issue author on codex2api, self-described, Oct 16, 2026. gemini-4-argon (Gemini 4 Argon) through codex2api with an Antigravity account, multi-turn function calling.
Argon rejects exactly the requests that carry an image tool result
Gemini 4 Argon fails on the native Gemini provider. hekcu, GitHub issue author on mixdog, self-described, Oct 14, 2026. gemini-4-argon (Gemini 4 Argon) via the Gemini API in Mixdog Desktop 1.2.1.
This interrupts useful tool work.
Gemini 4 Argon repeats passages in a single SSE response. ning_ke, Google AI Developers Forum user, self-described, Oct 22, 2026. gemini-4-argon (Gemini 4 Argon High) through the Antigravity Cloud Code streaming endpoint, about 360k input tokens.
one response contained repeated commentary followed by two distinct tool calls requesting the same action
Gemini 4 Argon repeats passages (reply). Ben_Wu, Google AI Developers Forum user, self-described, Oct 23, 2026. Gemini 4 Argon in long-running Claude Code sessions through CLIProxyAPI.
both disappear when I require structured JSON
Gemini 4 Argon thinking summaries missing with structured JSON. atlas-founder, Google AI Developers Forum user, self-described, Oct 22, 2026. gemini-4-argon (Gemini 4 Argon) via the Gemini API with responseSchema.
one repair passed my checker in 3 of 3 live runs
Gemini 4 Argon with Managed Agents for a fixture tool. SidraMiconi, X user, self-described, Oct 25, 2026. Gemini 4 Argon with Managed Agents via REST.
Argon is definitely not built for agentic tasks
Gemini 4 Argon first impressions. Gegam245074, X user, self-described, Oct 14, 2026. Gemini 4 Argon on a Node.js project and chat.
Argon also tops our leaderboard for JSON data extraction
Google Is Back! Gemini 4 Argon Leads Our Vision Benchmark. Roboflow, computer vision platform; post by Piotr Skalski, self-described, Oct 15, 2026. Gemini 4 Argon at low and high effort on Roboflow's vision benchmark.
It was able to connect to my phone and pull in debug logs and crashes, fix them automatically
Gemini 4: Argon - Early Access Review. JK Gunnink, Google Developer Expert and founder of RocketFlag, self-described, Oct 20, 2026. Gemini 4 Argon on high reasoning in Antigravity across three coding projects. The author is in the maker's expert program, so this account counts toward no figure.
I found Argon subpar with any long context work sadly
Gemini 4 Argon subpar on long context. kuberwastaken, Hacker News commenter, self-described, Oct 21, 2026. Argon (Gemini 4 Argon) on long context work.
With memory enabled and a big codebase, Argon shits the bed.
How Bad Is Gemini 4 Argon? (reply). Christopher_Hawkes, Google AI Developers Forum user, self-described, Oct 21, 2026. Argon (Gemini 4 Argon) with memory enabled on a big codebase.
Multi-file execution stability holds up nicely during TypeScript codebase analysis without dropping context
First impressions of Gemini 4 Argon in the Antigravity app. Roedy_Rustam, Google AI Developers Forum user, self-described, Oct 23, 2026. Gemini 4 Argon Medium in the Antigravity app on TypeScript refactoring.
In long-context, multi-turn coding conversations with tool history, Gemini 4 Argon intermittently restarts the same commentary
Gemini 4 Argon repeats passages in a single SSE response. ning_ke, Google AI Developers Forum user, self-described, Oct 22, 2026. gemini-4-argon (Gemini 4 Argon High) through the Antigravity Cloud Code streaming endpoint, about 360k input tokens.
reproduced this on Argon Medium as well around the 130k-160k context mark each time
Gemini 4 Argon repeats passages (reply). Matt_Sayles, Google AI Developers Forum user, self-described, Oct 23, 2026. Gemini 4 Argon Medium in long sessions.
Carbon looks to fix Argon's reliability and long-horizon weaknesses
Argon's reliability and long-horizon weaknesses. MaaSonder (Qwinah), self-described AI researcher and creator, Oct 23, 2026. Gemini 4 Argon compared with the upcoming Gemini Carbon.
It literally turned a 4,290 line monolithic HTML file into modular ES6 architecture
Gemini 4 Argon refactors a 4,290 line file. thebuggeddev, self-described software developer, Oct 15, 2026. Gemini 4 Argon refactoring its own 3D website.
Gemini is unfit for working with large codebases. It just gets lost
Gemini 4 Argon first impressions. Gegam245074, X user, self-described, Oct 14, 2026. Gemini 4 Argon on a Node.js project and chat.
identified 32 valid issues without blowing the context window
Gemini 4: Argon - Early Access Review. JK Gunnink, Google Developer Expert and founder of RocketFlag, self-described, Oct 20, 2026. Gemini 4 Argon on high reasoning in Antigravity across three coding projects. The author is in the maker's expert program, so this account counts toward no figure.
it ignored my instructions to discuss things with me before deciding to shift away from my draft
First day of Gemini 4 Argon on mid-sized coding tasks. Revanche1367, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon on complex mid-sized real world coding tasks.
Corrects the mistakes quickly with direction.
Gemini 4 Argon on a six step 3D explainer test. tezza, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon (Google Argon 4) in the Gemini app on the author's standard six step 3D explainer test.
They require way too much effort to get things working
Gemini 4 Argon a waste of time for software work. a3nz3g, Hacker News commenter, self-described, Oct 24, 2026. Argon (Gemini 4 Argon) for software development, compared with Opus and Sol.
tends to read all the related and unrelated files into the context
Gemini Argon reads unrelated files into context. millaker, Hacker News commenter, self-described, Oct 16, 2026. Gemini 4 Argon and Flash 3.8 in a coding agent, compared with Opus 5.5.
I noticed Argon compacting well under the 1M max in Copilot (around 400k)
Gemini 4 Argon compacts early in Copilot. dudeinhawaii, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon in GitHub Copilot with the 1M context setting.
After a few simple eval loops of you correcting things into your own voice you can have it sound almost exactly like you
Gemini 4 Argon on writing tasks. heyjamesknight, Hacker News commenter, self-described, Oct 14, 2026. Argon (Gemini 4 Argon) on writing tasks.
Surprisingly its safety guardrail gets triggered a lot just like for Fable 5.1.
Gemini 4 Argon on an adversarial programming language test. dom96, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon on the KillSwitch adversarial programming language benchmark.
gemini-4-argon routes cleanly
Gemini 4 Argon through ADK. Nabzx, mnemosyne maintainer on GitHub, self-described, Oct 20, 2026. gemini-4-argon (Gemini 4 Argon) through Google ADK v2.12.0.
It usually takes 2-3 iterations to get the output right.
Gemini 4 Argon impressions. pankajkumar_dev, X user, self-described, Oct 14, 2026. Gemini 4 Argon on 3D, frontend and coding tasks.
where I spent a lot of time having to steer it
Gemini 4: Argon - Early Access Review. JK Gunnink, Google Developer Expert and founder of RocketFlag, self-described, Oct 20, 2026. Gemini 4 Argon on high reasoning in Antigravity across three coding projects. The author is in the maker's expert program, so this account counts toward no figure.
reasonably priced when comparing to other models of similar price
Artificial Analysis - Gemini 4 Argon. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. Gemini 4 Argon (reasoning).
a median run cost me $0.52 vs $0.18 for Sonnet and $0.09 for Sol
Own coding eval of Gemini 4 Argon via OpenRouter. ariwilson, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon via OpenRouter in the pi harness, 11 small bug fixes.
OpenAI 6.1-Sol, Haiku 5.5, GLM 5.3 Flash all achieve about the same results but for ~1/10th the cost
Gemini 4 Argon on a data analytics benchmark. chriddyp, Hacker News commenter posting the Plotly data analytics benchmark, self-described, Oct 14, 2026. Gemini 4 Argon on a 23 question data analytics exam (Plotly blog benchmark).
it was slightly cheaper
Gemini 4 Argon on a Pac Man bakeoff. thefourthchime, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon in the author's Pac Man bakeoff against Opus 5.5.
I basically never exhaust my quota even when working over multiple projects, but this was pretty much immediate
Gemini 4 Argon exhausts the Ultra quota. robotmay, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon on the Google AI Ultra plan, auditing a project.
already spent like 10% of the weekly usage, in less than 10 mins
Gemini 4 Argon in Antigravity burns weekly usage. equasar, Hacker News commenter, self-described, Oct 17, 2026. Gemini 4 Argon (Google's Argon model) via Antigravity on a small code review.
using Gemini Argon 4 on High for a few sessions supposedly used $26 of my $60 usage and burned up my weekly request limit already
Gemini 4 Argon High burns the weekly limit. robertlane0, Hacker News commenter, self-described, Oct 15, 2026. Gemini 4 Argon (Gemini Argon 4) on High in a subscription plan.
the best $20 subscription deal these days is probably from Google, now that Gemini 4 Argon exists
Gemini 4 Argon on the $20 Google plan. SwellJoe, Hacker News commenter, self-described, Oct 23, 2026. Gemini 4 Argon on the $20 Google AI subscription.
I just set it to high and supervised it, it cost about $2
Gemini 4 Argon builds a payments web app. mpyne, Hacker News commenter, self-described, Oct 19, 2026. Gemini 4 Argon (Google Argon 4) set to high, building a web app.
it is hard to see this as competitive
Gemini 4 Argon pricing against Artificial Analysis cost per task. GodelNumbering, Hacker News commenter, self-described, Sep 30, 2026. Gemini 4 Argon launch pricing and Artificial Analysis cost per task.
Sol 6.1 scores one point less than Gemini 4 on intelligence AND costs less than half ($0.72 vs $1.99) per task
Gemini 4 Argon cost per task against Sol 6.1. nl, Hacker News commenter, self-described, Oct 1, 2026. Gemini 4 (Argon) on Artificial Analysis cost per task, compared with Sol 6.1.
Gemini 4 Argon is a new leader in Pareto-frontier
Gemini 4 Argon on the Arena Pareto frontier. mridulmalpani, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon on the Arena agent Pareto leaderboard.
strong value for capability
Crackme reverse engineering benchmark across models. nekitamo, Hacker News commenter, self-described, Oct 24, 2026. Gemini 4 Argon on the author's crackme reverse engineering benchmark with Ghidrasql.
it is expensive on the usage, I just accidentally filled my 5h window with a few questions
Locking Gemini 4 Argon behind AI Ultra (reply). Ernst_Schacherl, Google AI Developers Forum user, self-described, Oct 14, 2026. Argon (Gemini 4 Argon) in the Gemini UI.
at draining your tokens
Locking Gemini 4 Argon behind AI Ultra (reply). oviri, Google AI Developers Forum user, self-described, Oct 14, 2026. Argon (Gemini 4 Argon) on a Google AI subscription.
multi-step tasks on gemini-4-argon (High) deplete the Google AI Pro weekly quota bar faster than claude-opus-5-5 (High)
Gemini 4 Argon depletes Antigravity quota faster than Opus 5.5. Muhammed_Alpler, Google AI Developers Forum user, self-described, Oct 19, 2026. gemini-4-argon (Gemini 4 Argon High) in Antigravity on Google AI Pro.
Argon burned through the entire $10
Gemini 4 Argon burned $10 on one coding task. Its_lakshya_ai, X user, self-described, Oct 21, 2026. Gemini 4 Argon in Antigravity and Gemini CLI on one coding task.
The lower cost comes from using fewer tokens and more cache hits.
Gemini Argon 4 on real work in Antigravity CLI. PawelHuryn, X user, self-described, Oct 14, 2026. Gemini 4 Argon (Gemini Argon 4) with Antigravity CLI on the author's real work benchmark.
4.5h and $150 bucks wasted.
Gemini 4 Argon gamed the quality gates. Foxfire1st, X user, self-described, Oct 24, 2026. Gemini 4 Argon in OpenCode on a typed Python codebase.
tokens go out in a second
Gemini 4 Argon burns tokens in Antigravity. snipermonk69, X user, self-described, Oct 22, 2026. Argon (Gemini 4 Argon) in Antigravity on Gemini Pro.
The reasoning depth that finds security fixes others miss comes with a literal cost.
Gemini 4 Argon on Cursor: solid security score, two unique solves, but slower and more expensive. Endor Labs, application security company; post by Luca Compagna, self-described, Oct 20, 2026. Gemini 4 Argon in the Cursor harness on the Agent Security League tasks.
Argon is looking very good there
Release: llm-gemini 0.35. Simon Willison, creator of Datasette and the LLM tool, self-described, Oct 13, 2026. Gemini 4 Argon via the Gemini API in llm-gemini 0.35, low, medium and high.
At 81 tokens per second, Gemini 4 Argon (High) is slower than average
Artificial Analysis - Gemini 4 Argon. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. Gemini 4 Argon (reasoning).
took ~4 minutes vs 32 seconds and ~1.5 minutes
Own coding eval of Gemini 4 Argon via OpenRouter. ariwilson, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon via OpenRouter in the pi harness, 11 small bug fixes.
It also seems to spend too much time thinking even when the task was a quick and simple one
First day of Gemini 4 Argon on mid-sized coding tasks. Revanche1367, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon on complex mid-sized real world coding tasks.
Argon is very good and very fast
Impressed with Gemini 4 Argon. A_D_E_P_T, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon in early use after general availability.
yes, in 3D. Very fast.
Gemini 4 Argon on a six step 3D explainer test. tezza, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon (Google Argon 4) in the Gemini app on the author's standard six step 3D explainer test.
It's pretty slow for me.
Gemini 4 Argon feels slow. informal007, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon on an agentic task from the Gemini website.
but took twice as long
Gemini 4 Argon on a Pac Man bakeoff. thefourthchime, Hacker News commenter, self-described, Oct 13, 2026. Gemini 4 Argon in the author's Pac Man bakeoff against Opus 5.5.
behavior is quite good, a bit slow
Gemini 4 Argon compacts early in Copilot. dudeinhawaii, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon in GitHub Copilot with the 1M context setting.
Extremely fast and intelligent
Crackme reverse engineering benchmark across models. nekitamo, Hacker News commenter, self-described, Oct 24, 2026. Gemini 4 Argon on the author's crackme reverse engineering benchmark with Ghidrasql.
they are so slow for vibe coding and daily tasks
Argon too slow for daily coding. lam66kow, self-described game developer, Oct 25, 2026. Argon (Gemini 4 Argon) for vibe coding and daily tasks.
the speed is impressive, no doubt.
Gemini 4 Argon High vibe check. parves075, X user, self-described, Oct 23, 2026. Gemini 4 Argon High on the author's vibe check prompt.
It's also quite fast.
Gemini 4 Argon impressions. pankajkumar_dev, X user, self-described, Oct 14, 2026. Gemini 4 Argon on 3D, frontend and coding tasks.
Argon is the slowest and most expensive of the recent frontier combos we have tested
Gemini 4 Argon on Cursor: solid security score, two unique solves, but slower and more expensive. Endor Labs, application security company; post by Luca Compagna, self-described, Oct 20, 2026. Gemini 4 Argon in the Cursor harness on the Agent Security League tasks.
it is still a relatively slow model
Google Is Back! Gemini 4 Argon Leads Our Vision Benchmark. Roboflow, computer vision platform; post by Piotr Skalski, self-described, Oct 15, 2026. Gemini 4 Argon at low and high effort on Roboflow's vision benchmark.
so it has a higher failure rate than its competitors
Gertlabs evaluation of Gemini 4 Argon in 100 coding environments. gertlabs, account for the Gertlabs model rankings (gertlabs.com), self-described, Oct 14, 2026. Gemini 4 Argon in 100 competitive and cooperative coding environments.
Argon just keeps telling me that it "encountered an error" and to "try again"
Gemini 4 Argon keeps erroring. chaostheory, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon in the Gemini app on launch day.
The second prompt I tried with Argon got stuck in a loop.
Gemini 4 Argon stuck in a loop. jiggawatts, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon, the author's second prompt.
It just got in an infinite loop and crashed.
Gemini 4 Argon loops on a puzzle level. ehsankia, Hacker News commenter, self-described, Oct 25, 2026. Gemini chat with Argon (Gemini 4 Argon) on a puzzle game level.
after some hours (it got stuck) it generated the report
Gemini 4 Argon deep research got stuck. parasti, Hacker News commenter, self-described, Oct 14, 2026. Gemini 4 Argon (Gemini Argon 4) on High doing deep research.
tried argon 4, keeps failing with 404, resource now found
Gemini 4 Argon fails with 404 in the Gemini app. freakynit, Hacker News commenter, self-described, Oct 13, 2026. Argon 4 (Gemini 4 Argon) in the Gemini app on the Pro plan.
And with a lot more quota too.
Astra outperforms Gemini 4 Argon. drivebyhooting, Hacker News commenter, self-described, Oct 15, 2026. Argon (Gemini 4 Argon) compared with GPT-6 Astra.
in middle of code generation maximum tokens got used and auto switched to 3.1 pro
Gemini 4 Argon hits the token limit mid generation. supertoolkit, Hacker News commenter, self-described, Oct 16, 2026. Argon (Gemini 4 Argon) generating motion graphics code.
Argon's available usage quota runs out very quickly during normal development tasks
Gemini 4 Argon: Three major usability issues. Mori_Kentaro, Google AI Developers Forum user, self-described, Oct 20, 2026. Gemini 4 Argon in Antigravity and the Gemini web app on Google AI Pro.
Argon has super tight limits
Best Antigravity workflow for now: Flash 3.8 + Argon. Shvan, Google AI Developers Forum user, self-described, Oct 18, 2026. Gemini 4 Argon in the Gemini app reviewing plans drafted by 3.8 Flash.
I consistently reach the usage limit after sending only around ten prompts in each session
Ultra user reaches the usage limit after 10 prompts. Hiryu_Arashi, Google AI Developers Forum user, self-described, Oct 25, 2026. Gemini 4 Argon in Google AI Studio on AI Ultra.
It eventually failed with this error in Google AI Studio
Gemini 4 Argon background interaction fails. Maiko, Google AI Developers Forum user, self-described, Oct 26, 2026. gemini-4-argon (Gemini 4 Argon) via the Interactions API in background mode, Flex tier.
I don't use Gemini 4 Argon because of the rate limit
Avoiding Gemini 4 Argon because of the rate limit. techgoalz, X user, self-described, Oct 24, 2026. Gemini 4 Argon in the Gemini app on the Pro plan.
on Antigravity since yesterday. Starting new chats doesn't fix it.
Agent execution terminated on Gemini 4 Argon Medium. Juice7Orange, X user, self-described, Oct 25, 2026. Gemini 4 Argon Medium in Antigravity.
Reliability under load is, across Flash and Argon alike, for months now
Gemini reliability under load. TheGitAI, account for a coding agent product (thegit.ai), self-described, Oct 23, 2026. Gemini Flash and Argon (Gemini 4 Argon) run in TheGitAI.
fix Argon's reliability and long-horizon weaknesses
Argon's reliability and long-horizon weaknesses. MaaSonder (Qwinah), self-described AI researcher and creator, Oct 23, 2026. Gemini 4 Argon compared with the upcoming Gemini Carbon.
really reliable and cheap on the flex endpoint
Gemini 4 Argon reliable on the flex endpoint. gst_enjoyer, X user, self-described, Oct 25, 2026. Gemini 4 Argon on the flex endpoint, for learning.
drains over 25% of the usage limit after just a few complex technical questions
Gemini 4 Argon drains the usage limit. BernardoSLw5i8, X user, self-described, Oct 25, 2026. The 4 Argon model (Gemini 4 Argon) in Gemini on the Pro plan.
Often it just times out with a generic refusal error after a long wait.
Gemini 4 Argon hangs and times out. NashEqulbrium, X user, self-described, Oct 24, 2026. Gemini 4 Argon in the Gemini web app and mobile app.