# Claude Fable 5.1 vs Mistral Large

> Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 31.9 on the Noometry Index. Mistral Large costs 6.7× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-fable-5-1-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. Claude Fable 5.1 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Fable 5.1 leads 89.6 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Fable 5.1 and 8.5% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 69.0 | 31.9 |
| Rank | 2 | 263 |
| Context | 1M | 131K |
| Input $/M | $10 | $2 |
| Output $/M | $50 | $6 |
| Weights | Proprietary | Open |

## Coding

- Claude Fable 5.1: 74.7 (#1)
- Mistral Large: 34.3 (#240)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| SciCode | 63.1% | 36.2% |
| LMArena Coding | 1528 | 1277 |
| ALE-Bench | 2,143 | 264.7 |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| LMArena WebDev | 1744 | — |
| FrontierSWE | 56.3% | — |
| GSO | 88.2% | — |
| WeirdML | 92.9% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| MirrorCode | 73.3% | — |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Claude Fable 5.1: 50.7 (#5)
- Mistral Large: 28.6 (#89)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| Remote Labor Index | 17.9% | — |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |

## Reasoning

- Claude Fable 5.1: 76.7 (#7)
- Mistral Large: 15.8 (#310)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| CritPt | 31.1% | 0% |
| LMArena Hard Prompts | 1526 | 1257 |
| DTBench | 97.6% | 65.1% |
| LMCA | 65.5% | 16.7% |
| Epoch Capabilities Index | 164.7 | 128.52 |
| ARC-AGI-2 | 90% | — |
| SimpleBench | — | 22.5% |
| NYT Connections (extended) | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| Chess Puzzles | 47% | — |
| EBR-Bench | 57.1% | — |
| LiveBench Reasoning | — | 43.5% |
| Mystery Game Puzzles | 58% | — |
| LiveBench Data Analysis | — | 50.1% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Claude Fable 5.1: 89.6 (#4)
- Mistral Large: 18.2 (#291)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 8.5% |
| LMArena Math | 1525 | 1262 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| FrontierMath Erdős | 0% | — |

## Knowledge

- Claude Fable 5.1: 69.6 (#6)
- Mistral Large: 30.1 (#230)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| LMArena Expert | 1535 | 1232 |
| GPQA Diamond | — | 51.3% |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multimodal

- Claude Fable 5.1: 53.9 (#4)
- Mistral Large: —

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| LMArena Vision | 1318 | — |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |

## Multilingual

- Claude Fable 5.1: 59.1 (#3)
- Mistral Large: 40.0 (#219)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1507 | 1237 |
| LMArena Chinese | 1586 | 1240 |
| LMArena French | 1525 | 1325 |
| LMArena German | 1500 | 1254 |
| LMArena Japanese | 1543 | 1188 |
| LMArena Korean | 1534 | 1202 |
| LMArena Russian | 1521 | 1257 |
| LMArena Spanish | 1516 | 1268 |

## Instruction Following

- Claude Fable 5.1: 79.2 (#6)
- Mistral Large: 67.9 (#191)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1517 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Claude Fable 5.1: 46.7 (#20)
- Mistral Large: 38.3 (#199)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1522 | 1261 |

## Writing & Preference

- Claude Fable 5.1: 79.2 (#2)
- Mistral Large: 40.7 (#242)

| Benchmark | Claude Fable 5.1 | Mistral Large |
|---|---|---|
| LMArena Text | 1510 | 1266 |
| LMArena Creative Writing | 1507 | 1243 |
| EQ-Bench Creative Writing | 2162 | 985 |
| LMArena Multi-Turn | 1492 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Claude Fable 5.1 better than Mistral Large?

Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 31.9 on the Noometry Index. Mistral Large costs 6.7× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.

### Which is cheaper, Claude Fable 5.1 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Fable 5.1 lists at $10 and $50.

### Is Claude Fable 5.1 or Mistral Large better for coding?

Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 34.3 in the Noometry coding category.

### Which has the bigger context window?

Claude Fable 5.1 does, with 1M tokens against 131K.

### How many benchmarks do Claude Fable 5.1 and Mistral Large share?

25 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Mistral Large has 51.