Mistral Large 4 vs Claude Fable 5.1
Too close to call on our weighted score (Mistral Large 4 67, Claude Fable 5.1 66). The right pick depends on what you value most.
Mistral AIMistral Large 4
67/100- ECI150.6
- Price$0.70 / $2.10
- Context1.05M
AnthropicClaude Fable 5.1
66/100- ECI166.4
- Price$10.00 / $50.00
- Context1M
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Mistral Large 4 67/100, Claude Fable 5.1 66/100), so choose by what matters most for your work: Claude Fable 5.1 for raw capability, Mistral Large 4 on price and Mistral Large 4 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Fable 5.1Capabilities Index (ECI): Claude Fable 5.1 166.4 · Mistral Large 4 150.6
- Lowest priceMistral Large 4Mistral Large 4 $1.05 · Claude Fable 5.1 $20.00 per 1M tokens (3:1 blend)
- Longest contextMistral Large 4Mistral Large 4 1,048,576 · Claude Fable 5.1 1,000,000 tokens
- Widest inputsClaude Fable 5.1Mistral Large 4: Text, Images · Claude Fable 5.1: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Mistral Large 4 | Claude Fable 5.1 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 77 | 97 |
| Price | 25% | 47 | 0 |
| Inputs & features | 15% | 70 | 80 |
| Context window | 10% | 61 | 60 |
| Overall | 100% | 67/100 | 66/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Large 4Mistral AI | Claude Fable 5.1Anthropic |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 150.6 | 166.4 (best) |
| ECI rank | #57 of 165 | #6 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 88.1% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 58.6% | 90.2% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 98.3% | 100% (best) |
| SimpleQA VerifiedShort factual questions | 20.0% | 70.8% (best) |
| Price per million tokens | ||
| Input | $0.70 (best) | $10.00 |
| Output | $2.10 (best) | $50.00 |
| Cached input | $0.07 (best) | $0.25 |
| Blended (3:1) | $1.05 (best) | $20.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Anthropic API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 262,144 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | mistral-large-4 | claude-fable-5-1 |
| API providers | 15 | 37 (best) |
| Released | Oct 6, 2026 | Sep 1, 2026 |
| Knowledge cutoff | — | Jun 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Large 4$11.20
- Claude Fable 5.1$200.00
Which should you choose?
Which is better: Mistral Large 4 or Claude Fable 5.1?
It is close. Our weighted score puts them within a point (Mistral Large 4 67/100, Claude Fable 5.1 66/100), so choose by what matters most for your work: Claude Fable 5.1 for raw capability, Mistral Large 4 on price and Mistral Large 4 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Large 4 or Claude Fable 5.1?
Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Claude Fable 5.1 costs $10.00 input / $50.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for Mistral Large 4 versus $20.00 for Claude Fable 5.1 (19× as much).
Which scores higher on benchmarks?
Claude Fable 5.1 scores higher on the Capabilities Index (ECI): Claude Fable 5.1 166.4 (#6 of 165) and Mistral Large 4 150.6 (#57 of 165). Their confidence ranges do not overlap (163.6–170.8 vs 147.4–153.5), so the gap is a real one. On individual benchmarks: FrontierMath Tiers 1–3 — Claude Fable 5.1 90.2%, Mistral Large 4 58.6%; OTIS Mock AIME 2024–2025 — Claude Fable 5.1 100%, Mistral Large 4 98.3%; SimpleQA Verified — Claude Fable 5.1 70.8%, Mistral Large 4 20.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 4 and Claude Fable 5.1 yet, so there is no like-for-like coding score. On overall capability, Claude Fable 5.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Mistral Large 4 has the largest context window at 1,048,576 tokens, against 1,000,000 for Claude Fable 5.1. Maximum output per response: Mistral Large 4 up to 262,144, Claude Fable 5.1 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 4 accepts text and images; Claude Fable 5.1 accepts text, images and PDFs. Claude Fable 5.1 handles the widest range of inputs.
Are any of these open source?
No. Mistral Large 4 and Claude Fable 5.1 are proprietary and only available through APIs and apps.
Which is newer?
Mistral Large 4 is the newest, released Oct 6, 2026. Claude Fable 5.1 came out Sep 1, 2026. Knowledge cutoff: Claude Fable 5.1 Jun 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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