# Claude Fable 5.1 vs Mistral Large 3

> Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 53× 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-3
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Claude Fable 5.1 scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5.1 leads 76.7 to 15.2.
- The biggest single-benchmark swing is NYT Connections (extended): 90% for Claude Fable 5.1 and 7.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 69.0 | 39.1 |
| Rank | 2 | 176 |
| Context | 1M | 262K |
| Input $/M | $10 | $0.25 |
| Output $/M | $50 | $0.75 |
| Weights | Proprietary | Open |

## Coding

- Claude Fable 5.1: 74.7 (#1)
- Mistral Large 3: 34.4 (#237)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1744 | 1230 |
| LMArena Coding | 1528 | 1448 |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| FrontierSWE | 56.3% | — |
| SciCode | 63.1% | — |
| GSO | 88.2% | — |
| WeirdML | 92.9% | — |
| MirrorCode | 73.3% | — |
| ALE-Bench | 2,143 | — |

## Agentic & Tool Use

- Claude Fable 5.1: 50.7 (#5)
- Mistral Large 3: —

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Remote Labor Index | 17.9% | — |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |

## Reasoning

- Claude Fable 5.1: 76.7 (#7)
- Mistral Large 3: 15.2 (#319)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| NYT Connections (extended) | 90% | 7.5% |
| LMArena Hard Prompts | 1526 | 1429 |
| ARC-AGI-2 | 90% | — |
| Kagi LLM Benchmark | — | 50.9% |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| Chess Puzzles | 47% | — |
| Thematic Generalization | — | 23% |
| EBR-Bench | 57.1% | — |
| Mystery Game Puzzles | 58% | — |
| DTBench | 97.6% | — |
| LMCA | 65.5% | — |
| Epoch Capabilities Index | 164.7 | — |

## Math

- Claude Fable 5.1: 89.6 (#4)
- Mistral Large 3: 38.7 (#129)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1525 | 1414 |
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| FrontierMath Erdős | 0% | — |

## Knowledge

- Claude Fable 5.1: 69.6 (#6)
- Mistral Large 3: 36.0 (#177)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Expert | 1535 | 1421 |
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
| Vectara Hallucination Rate | — | 14.5% |

## Multimodal

- Claude Fable 5.1: 53.9 (#4)
- Mistral Large 3: 38.2 (#66)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1318 | 1221 |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |

## Multilingual

- Claude Fable 5.1: 59.1 (#3)
- Mistral Large 3: 52.5 (#84)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1507 | 1413 |
| LMArena Chinese | 1586 | 1447 |
| LMArena French | 1525 | 1455 |
| LMArena German | 1500 | 1437 |
| LMArena Japanese | 1543 | 1394 |
| LMArena Korean | 1534 | 1384 |
| LMArena Russian | 1521 | 1411 |
| LMArena Spanish | 1516 | 1440 |

## Instruction Following

- Claude Fable 5.1: 79.2 (#6)
- Mistral Large 3: 74.0 (#108)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1517 | 1403 |

## Long Context

- Claude Fable 5.1: 46.7 (#20)
- Mistral Large 3: 43.1 (#105)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1522 | 1413 |

## Writing & Preference

- Claude Fable 5.1: 79.2 (#2)
- Mistral Large 3: 60.0 (#101)

| Benchmark | Claude Fable 5.1 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1510 | 1428 |
| LMArena Creative Writing | 1507 | 1386 |
| EQ-Bench Creative Writing | 2162 | 1412 |
| LMArena Multi-Turn | 1492 | 1429 |

## FAQ

### Is Claude Fable 5.1 better than Mistral Large 3?

Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 53× 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 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Claude Fable 5.1 lists at $10 and $50.

### Is Claude Fable 5.1 or Mistral Large 3 better for coding?

Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

Claude Fable 5.1 does, with 1M tokens against 262K.

### How many benchmarks do Claude Fable 5.1 and Mistral Large 3 share?

21 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Mistral Large 3 has 24.