Model comparison
Claude Fable 5.1 vs Mistral Medium 3.5
Anthropic against Mistral, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Anthropic
Claude Fable 5.1
Frontier
Mistral
Mistral Medium 3.5
Frontier · Open weights
| Specification | Claude Fable 5.1 | Mistral Medium 3.5 |
|---|---|---|
| Provider | ||
| Provider | Anthropic | Mistral |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | Winner: 1M | 262K |
| Max output | ||
| Max output | 128K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $10 | Winner: $1.50 |
| Output / 1M tokens | ||
| Output / 1M tokens | $50 | Winner: $7.50 |
| Weights | ||
| Weights | Closed | Open |
| Parameters | ||
| Parameters | Not disclosedUnverified | 128B dense |
| Reasoning levels | ||
| Reasoning levels | adaptive | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image | text, image |
| License | ||
| License | Not disclosedUnverified | Modified MIT |
| API model id | ||
| API model id | claude-fable-5-1 | mistral-medium-3-5 |
| Released | ||
| Released | September 1, 2026 | April 28, 2026 |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | 53.4 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | Not verifiedUnverified | 14.2 |
| Humanity's Last Exam (2026-09-01) | ||
| Humanity's Last Exam (2026-09-01) | 65 | Not verifiedUnverified |
| Terminal-Bench 2.1 (2026-09-26) | ||
| Terminal-Bench 2.1 (2026-09-26) | 91.4 | Not verifiedUnverified |
| Terminal-Bench 4.0 [max] (2026-09-26) | ||
| Terminal-Bench 4.0 [max] (2026-09-26) | 52 | Not verifiedUnverified |
| DeepSWE 1.1 (2026-09-03) | ||
| DeepSWE 1.1 (2026-09-03) | 67.4 | Not verifiedUnverified |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis Terminal-Bench 4.0 (independent AA run, part of Intelligence Index v4.3.2)
Agentic terminal work: long multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNOT comparable with Terminal-Bench 2.x or 3.0 — 4.0 uses a new, non-overlapping task set. Within 4.0, scores from different harnesses (tbench.ai agent entries vs Artificial Analysis runs) are not interchangeable.
- 2026-09-26Artificial Analysis Terminal-Bench 2.1 (independent, Terminus 2, max effort)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-09-03OpenAI GPT-6 Astra launch chart (independent cross-vendor; Fable 5.1 not on the official Datacurve leaderboard)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
- 2026-09-01Anthropic Fable 5.1 announcement (vendor, with tools; 60.9 no tools) — Anthropic's later Opus 5.5 table lists 65.6; conflict preserved
Frontier-knowledge ceiling: extremely hard multi-domain questions written to be near-impossible without deep expertise.
Comparable with caveatSubset/tool configurations (text-only vs with-tools) differ between vendors and materially change scores; must match configuration to compare.
Pricing tiers
Claude Fable 5.1: Priced with Fable 5 at $10/$50 per MTok; cache reads cut 75% to $0.25/MTok. Adaptive thinking always on (default effort high); knowledge cutoff Jun 2026. Sibling Mythos 5.1 launched the same day.
Mistral Medium 3.5: Mistral first-party API $1.50/$7.50 per MTok; Mistral advertises up to 90% off cached input (exact cached rate not verified). Open weights under a Modified MIT licence. 128B dense.
Claude Fable 5.1
Claude Fable 5.1 is Anthropic's model for the most demanding reasoning and long-horizon agentic work at $10/$50 — Anthropic now recommends Opus 5.5 as the default for most workloads.
Best for
- Frontier agents
- Hardest reasoning work
- Fable 5 workloads at the same price
Watch out
Costs 2.5x Opus 5.5 per token and trails it on the Artificial Analysis Intelligence Index (53.4 vs 57.6, v4.3.2); reserve it for the hardest long-horizon work.
Mistral Medium 3.5
Mistral Medium 3.5 is the model Mistral calls its new flagship — a 128B dense open-weight model with a 256K context, powering its Vibe remote agents.
Best for
- EU-hosted frontier work
- Open-weight self-hosting
- Mistral Vibe agents
Watch out
Far behind US and Chinese frontier models on the Artificial Analysis index; max output is not published. Check the Modified MIT terms before redistribution.
When the cheaper one wins
Mistral Medium 3.5 is cheaper on output at $7.50 per million tokens against $50 for Claude Fable 5.1 — about 6.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 2/5 core specs verified on both sides — Not published for at least one side: max output, parameter count, reasoning levels.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Fable 5.1: Anthropic pricing — Fable 5.1/Mythos 5.1 $10/$50 (accessed 2026-09-03)
- Claude Fable 5.1: Anthropic models overview — Fable 5.1 (1M context, 128K output) (accessed 2026-09-03)
- Claude Fable 5.1: Anthropic — Claude Fable and Mythos 5.1 announcement (accessed 2026-09-26)
- Claude Fable 5.1: Anthropic models overview — Opus 5.5 default; Fable 5.1 for demanding reasoning (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral docs — Mistral Medium 3.5 (26.04) (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral — Vibe remote agents and Mistral Medium 3.5 (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral changelog (2026-04-28) (accessed 2026-09-26)
Related comparisons
- Claude Fable 5.1 vs Claude Opus 5.5
- Claude Fable 5.1 vs Claude Haiku 4.5
- Claude Fable 5.1 vs Claude Mythos 5.1
- Claude Fable 5.1 vs Claude Opus 5
- Claude Fable 5.1 vs Claude Sonnet 5
- Claude Fable 5.1 vs DeepSeek V4 Pro
Diving deeper on one model? Claude Fable 5.1 · Mistral Medium 3.5
Common questions
Claude Fable 5.1 vs Mistral Medium 3.5
Answered from the verified figures on this page rather than general guidance.
Is Claude Fable 5.1 or Mistral Medium 3.5 cheaper for input?
Is Claude Fable 5.1 or Mistral Medium 3.5 cheaper for output?
Which has the larger context window, Claude Fable 5.1 or Mistral Medium 3.5?
Should I use Claude Fable 5.1 or Mistral Medium 3.5?
Can I self-host Claude Fable 5.1 or Mistral Medium 3.5?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Mistral Medium 3.5 costs $1.50 per 1M tokens versus $10 for Claude Fable 5.1 — a 6.7x difference at the headline tier.
- Context: Claude Fable 5.1 takes 1M against 262K for Mistral Medium 3.5 — only decisive if your prompts approach the smaller window.
- Measured capability: Claude Fable 5.1 leads Artificial Analysis Intelligence Index 53.4 to 14.2 (measured 2026-09-26).
- Deployment: Mistral Medium 3.5 publishes weights you can self-host; the other is API-only.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.