Claude model for demanding reasoning and long-horizon agentic work
Claude Fable 5.1 by anthropic is offered by 30 providers on this page. Its official list price is $10.00 per 1M input tokens and $50.00 per 1M output tokens. The lowest paid channel is NanoGPT at $10.00 / $50.00 per 1M, about 1.2× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it.
Artificial Analysis rates it 53.4 on the Intelligence Index, with 81.6 for coding and 57.9 for agentic tasks. Against its lowest blended price of $20.00 per 1M, that is roughly 3 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 67 tokens per second, with 293.68s to the first token. Running one task of the Artificial Analysis suite costs about $7.6297, which reflects how many tokens its reasoning consumes rather than the unit price alone.
The context window is 1,000,000 tokens, with an output limit of 128,000 tokens. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, and PDF. Its training knowledge cuts off at 2026-06.
Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| NanoGPT anthropic/claude-fable-5.1 | Gateway | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| AnthropicOfficial | First-party | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| Kilo Gateway anthropic/claude-fable-5.1 | Gateway | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| 302.AI | Gateway | $10.00 | $50.00 | — | — | 1,000,000 | 128,000 | |
| OpenRouter anthropic/claude-fable-5.1 | Gateway | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| Azure | Cloud | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| Azure Cognitive Services | Cloud | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| ZenMux anthropic/claude-fable-5.1 | Gateway | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| Cloudflare AI Gateway anthropic/claude-fable-5.1 | Cloud | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
| Vercel AI Gateway anthropic/claude-fable-5.1 | Cloud | $10.00 | $50.00 | $0.25 | $12.50 | 1,000,000 | 128,000 | |
Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.
Interleaved thinking (reasoning between tool calls) is declared by 2 of 30 providers.
1 / 30 providers expose no reasoning control (reasoning_options: []).
Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-02). Each future sync adds a point, and once accumulated a line is drawn here.
| Name | Conditions | Score | Metric | Source |
|---|---|---|---|---|
| Terminal-Bench-Science | variant: production safeguards with fallback · v0.1 | 52.6 | score | Source ↗ |
| Terminal-Bench | variant: production safeguards with fallback · v4.0 | 55.8 | score | Source ↗ |
| GDPval-AA | variant: production safeguards with fallback · v2 | 1853 | Elo | Source ↗ |
| OSWorld | variant: production safeguards; interventions score zero; no fallback · dataset: August 2026 task release · v2.0 | 77.9 | partial score | Source ↗ |
| OSWorld | variant: production safeguards; interventions score zero; no fallback · dataset: August 2026 task release · v2.0 | 41.7 | strict success rate | Source ↗ |
| Humanity's Last Exam | variant: without tools; production safeguards with fallback | 60.9 | score | Source ↗ |
| Humanity's Last Exam | variant: with tools; production safeguards with fallback | 65 | score | Source ↗ |
| AutomationBench | variant: production safeguards with fallback | 31.4 | pass rate | Source ↗ |
| CursorBench | variant: max effort; production safeguards with fallback · v3.2.0 | 73.4 | score | Source ↗ |
The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.
Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.