GILD verdict
Choose the Gemini API for near-flagship work at its launch price, and Opus 5.5 when two more index points matter.
Gemini 4 Argon scores 50 on the Artificial Analysis Intelligence Index v5.0 (Oct 27, 2026) at US$3.84 per task, while Opus 5.5 at high effort scores 52 for US$3.46. Choose the Claude API for the top score or the best small model. Opus 5.5 leads at 58, and Haiku 5.5 (36) beats Gemini 3.8 Flash (31) at about a nineteenth of its cost per task. Gemini's introductory prices end on November 30, 2026 for Argon, which costs US$4 input and US$20 output from December 1, and December 31, 2026 for Flash, which costs US$1.50 input and US$7.50 output from January 1, 2027, so price your volume at the standard rates. Lindy's move of most Claude and Gemini traffic to DeepSeek v4 Flash at about a tenth of the cost (Jun 2026) shows the floor both now compete with.
Teams report buying both and leaving both on price: DoorDash runs Claude and Gemini behind one gateway and names Gemini's one-year model lifetime as a migration cost, and Lindy moved most traffic off both to DeepSeek v4 Flash for about 90% less. On scores, Claude wins at both ends of the range, and Gemini 4 Argon competes in the middle at its introductory price. Argon's launch price matches Sonnet 5.5's list price. On the Artificial Analysis Intelligence Index v5.0 (Oct 27, 2026), Argon scores 50 at US$3.84 per task, Sonnet 5.5 54 at US$10.02, and Opus 5.5 at high effort 52 at US$3.46. Gemini 3.8 Flash lists between Haiku 5.5 and Sonnet 5.5, scores below Haiku, and costs more per task than Argon. Claude is also sold through Google Cloud, so a Google Cloud customer can buy both on one bill.
What teams report
Left or turned down 1
Lindy
Lindy moved most of its managed-agent traffic off Claude Sonnet and Gemini to DeepSeek v4 Flash in May and June 2026, ramping to 100% of target traffic while its evals held, and inference cost on those routes fell by about 90% (Jun 24, 2026).
“As long as those signals held, we kept ramping. Eventually DeepSeek reached 100% of the target traffic.”
Bruno Škvorc, Staff Software Engineer, LindyLindy engineering blog, , write-up
Run both 1
DoorDash
DoorDash started vendor-first with OpenAI, Anthropic and Gemini models behind one gateway. Its platform lead names cost at scale and the model deprecation cycle as the cracks that followed, citing Gemini's one-year model lifetime as forcing migrations across hundreds of use cases (InfoQ talk, Oct 3, 2026).
“Similarly, on the model side, we went vendor first. Let's use OpenAI, Anthropic, Gemini models. Folks started getting productive. Folks learned how to do prompt engineering. They were able to scale up. At DoorDash scale, at some point, cost becomes an issue. There were a few other cracks that started to appear. Like the one is the deprecation treadmill. How many of you know that Gemini has a one-year lifetime for models? In one year, the model gets shut down, and this applies to every new model. At the end of that one year, you have to switch to a newer model, whether or not it meets your business needs. I could probably accept that if I was a single product team and I was working on my product, but I as a platform team, I have to think about hundreds of use cases and how I'm going to drive hundreds of teams to migrate to the latest model without necessarily giving them a business argument of the benefits.”
Swaroop Chitlur, Lead, Generative AI Platform, DoorDashInfoQ, , recording
Choosing between Claude API and Gemini API
Choose Claude API if
- You want one model family across Anthropic's API, AWS, Google Cloud, and Microsoft Foundry.
- Your evaluations favor Claude on long agentic tasks, where Opus 5.5 or Fable 5.1 earn their price.
- You want a hosted agent harness (Managed Agents) or Claude Code's agent loop as a library (Agent SDK).
Choose Gemini API if
- You want to prototype on a free tier before attaching billing; free-tier content is used to improve Google's products, and paid-tier content is not.
- Flash pricing fits your volume: Gemini 3.8 Flash lists at US$0.75 input and US$3.75 output per million tokens through December 31, 2026.
- You want near-flagship reasoning at the launch price: Gemini 4 Argon lists at US$2 input and US$10 output through November 30, 2026, and is not on the free tier.
- Your organization runs on Google Cloud and wants Google's own models alongside Claude there.
Side by side
| Dimension | Claude API | Gemini API |
|---|---|---|
| Monthly bill at one workloadGILD's calculation from published rates, fetched Oct 28, 2026: 2,000 tasks a day for 30 days, each with 10,000 input tokens and 2,000 output tokens; the cached Claude line bills 7,000 of those input tokens as cache reads and 1,000 as cache writes. Gemini's cached rates are left out, so its line is the uncached price. Taxes and negotiated discounts are excluded. | US$1,632 a month on Claude Sonnet 5.5 with caching; US$2,400 without caching10 | US$2,400 a month on Gemini 4 Argon without caching at its introductory price; US$4,800 at its standard US$4/US$20 from December 1, 202623 |
| Current lineupStandard paid-tier list prices in US dollars per million input / output tokens. | Fable 5.1 US$10 / US$50; Opus 5.5 US$4 / US$20; Sonnet 5.5 US$2 / US$10; Haiku 5.5 US$0.10 / US$0.50 (prompts up to 100,000 tokens) | Gemini 4 Argon US$2 / US$10 through November 30, 2026, then US$4 / US$20. Gemini 3.8 Flash US$0.75 / US$3.75 through December 31, 2026, then US$1.50 / US$7.50. Gemini 3.1 Pro (pre-release) US$2 / US$12 for prompts up to 200,000 tokens |
| Independent scoresArtificial Analysis Intelligence Index v5.0 (Oct 27, 2026) at each model's highest-scoring reasoning effort, high for the Gemini models, xhigh for Fable 5.1 and max for the other Claude models, and its average API cost per index task at list prices with caching, checked Oct 28, 2026. | Opus 5.5 58 at US$10.04 per task; Sonnet 5.5 54 at US$10.02; Fable 5.1 50 at US$10.89; Haiku 5.5 36 at US$0.4113456 | Gemini 4 Argon 50 at US$3.84 per task; Gemini 3.8 Flash 31 at US$7.77; Gemini 3.1 Pro preview not scored on Index v5.0178 |
| Free use | A small amount of free credits for new users | Free tier with limited model access; free-tier content is used to improve Google's products |
| Context window | 1M tokens on all four current models, with up to 128K output tokens | 1,048,576 input tokens and 65,536 output tokens on Gemini 3.8 Flash |
| Cached input | Writes cost 1.25x the input price (5-minute cache) or 2x (1 hour); reads cost 0.05x on Opus 5.5 and Sonnet 5.5, 0.025x on Fable 5.1, and 0.1x on other models | Implicit caching on by default for Gemini 2.5 and newer; explicit caches also bill storage, at US$0.50 per million tokens per hour on Gemini 3.8 Flash through December 31, 2026 |
| Batch | 50% off input and output; every batch ends within 24 hours | 50% off on the paid tier; Flex processing at the same rate |
| Self-serve spend caps | Start US$500, Build US$1,000, Scale US$200,000 per month; Custom tier by arrangement | Tier 1 US$250, Tier 2 US$2,000, Tier 3 US$20,000 to US$100,000 per month |
| Data use | Not used for training without permission; inputs and outputs deleted within 30 days by default | Paid-tier prompts and responses are not used to improve Google's products and are logged for a limited period for abuse detection |
| Where it runs | Claude API, Claude Platform on AWS, and Microsoft Foundry at Anthropic's rates. Claude Models on Google Cloud (Anthropic managed) through Google Cloud Marketplace. Amazon Bedrock and Google Cloud (Google managed) at the cloud provider's prices | Gemini API and Google AI Studio, with enterprise deployments on Google's Gemini Enterprise Agent Platform |
| Agent tooling | Agent SDK (Claude Code's agent loop as a library), Managed Agents (beta, US$0.08 per session-hour plus tokens), and the MCP connector (beta). Managed Agents can run multi-agent workflows (beta). Its web_fetch tool fetches only URLs that already appeared in the session, and a limited-network environment applies its allowed_hosts list to web search and web fetch | Parallel and compositional function calling, built-in tools such as Google Search grounding and code execution, and Managed Agents (preview). The Interactions API connects remote MCP servers, and Gemini 3 models do not support remote MCP yet |
What practitioners report, side by side
Each product's figures come from its own practitioners, for the group you pick.
Overall signal
Teams and leaders rate Claude API +25, 25 points above Gemini API at 0. Most of the gap is in complaints, with 25 of Gemini API's 74 sources negative against 9 of Claude API's 52.
The score counts the authors from teams and leaders that take a side, one vote each with their latest view, and is how far positive votes lead negative ones, per 100 votes, so Claude API's +25 rests on votes split 20 positive, 20 mixed and 8 negative and Gemini API's 0 on 23, 24 and 23.
A lead of a fifth of the votes reads positive and a lead of half strong positive, with the same lines below zero. The dots show each source, positive, mixed, negative. Run a pilot on your own prompts to measure output quality and cost per task.
Footprint on the AI Application Platform stack
They differ on one of 9 layers. On Guardrails, Claude API touches it and Gemini API supports it. Coverage is each product's placement on this stack, as its product page shows it. Core is a job the product owns; Supports and Touches are jobs it helps with. Coverage says nothing about how well a product does them.
| Layer | Claude API | Gemini API |
|---|---|---|
| Operate | ||
| Guardrails | Touches | Supports |
The 8 layers where they match
| Layer | Claude API | Gemini API |
|---|---|---|
| Model | ||
| Model APIs | Core | Core |
| Model gateway | Touches | Touches |
| Build | ||
| Orchestration | Supports | Supports |
| Tool use | Core | Core |
| Data | ||
| Retrieval | Supports | Supports |
| Evaluate | ||
| Evaluation | Touches | Touches |
| Operate | ||
| Observability | Touches | Touches |
| Cloud deployment | Supports | Supports |
What practitioners praise
Among teams and leaders, Multimodal & Long Context and Developer Experience reach 5 sources from 3 authors only for Gemini API, at 13 of 13 and 3 of 6. Claude API needs a pilot on the same prompts before you choose on Multimodal & Long Context and has 3 of 4 on Developer Experience so far. Of the four themes both carry, Tool Use & Structured Output differs most. It is praised in 10 of the 12 Claude API sources that discuss it, against 4 of 9 for Gemini API.
| Praised for | Claude API | Gemini API |
|---|---|---|
| Model Quality | 16 of 20 | 11 of 12 |
| Tool Use & Structured Output | 10 of 12 | 4 of 9 |
| Cost Efficiency | 8 of 8 | 16 of 17 |
| Speed | 8 of 10 | 6 of 9 |
| Multimodal & Long Context | Not a theme in its sources | 13 of 13 |
| Developer Experience | 3 of 4 so far | 3 of 6 |
Each count is the sources that praise a theme, or raise it as a concern, out of those that discuss it. A row pairs the two products when both carry a theme under the same or an equivalent name.
A count ending in "so far" has under 5 sources from 3 authors among teams and leaders. "Not a theme in its sources" means GILD found no theme of that name in that product's sources.
What practitioners raise as concerns
Gemini API's sources raise Latency more often than Claude API's. It is raised in 3 of the 5 Claude API sources that discuss it, against 11 of 11 for Gemini API. Claude API alone has three concern themes that reach 5 sources from 3 authors. Token Cost and Tool Calling Failures lead, at 11 of 12 and 5 of 7. Gemini API alone has four concern themes that reach 5 sources from 3 authors. Billing & Spend Control and Reliability & Capacity lead, at 9 of 9 each.
| Raised as a concern | Claude API | Gemini API |
|---|---|---|
| Model Changes | 8 of 11 | 14 of 14 |
| Latency | 3 of 5 | 11 of 11 |
| Token Cost | 11 of 12 | Not a theme in its sources |
| Tool Calling Failures | 5 of 7 | Not a theme in its sources |
| Setup & SDK Friction | 3 of 5 | Not a theme in its sources |
| Billing & Spend Control | Not a theme in its sources | 9 of 9 |
| Reliability & Capacity | Not a theme in its sources | 9 of 9 |
| Rate Limits & Tiers | Not a theme in its sources | 8 of 8 |
| Two Platforms & Setup | Not a theme in its sources | 5 of 5 |
30 sources
- Artificial Analysis: LLM Leaderboard (Oct 28, 2026)
- Artificial Analysis: Changelog (Oct 28, 2026)
- Artificial Analysis: Claude Opus 5.5 analysis (Oct 28, 2026)
- Artificial Analysis: Claude Sonnet 5.5 analysis (Oct 28, 2026)
- Artificial Analysis: Claude Fable 5.1 analysis (Oct 28, 2026)
- Artificial Analysis: Claude Haiku 5.5 analysis (Oct 28, 2026)
- Artificial Analysis: Gemini 4 Argon analysis (Oct 28, 2026)
- Artificial Analysis: Gemini 3.8 Flash analysis (Oct 28, 2026)
- Claude API docs: Models overview
- Claude API docs: Pricing
- Claude API docs: Prompt caching
- Claude API docs: Batch processing
- Claude API docs: Rate limits
- Claude API docs: API and data retention
- Anthropic Privacy Center: How long do you store my organization's data?
- Claude API docs: Claude on Google Cloud
- Claude API docs: Claude Models on Google Cloud (Anthropic managed)
- Claude Code docs: Agent SDK overview
- Claude API docs: Managed Agents overview
- Claude API docs: Claude Platform release notes
- Gemini API docs: Models
- Gemini API docs: Gemini 3.8 Flash
- Gemini API docs: Pricing
- Gemini API docs: Context caching
- Gemini API docs: Batch API
- Gemini API docs: Rate limits
- Gemini API docs: Billing
- Gemini API Additional Terms of Service
- Gemini API docs: Function calling
- Gemini API docs: Interactions API