# Claude Fable 5.1 vs Mistral Large 4

> Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 43.1 on the Noometry Index. Mistral Large 4 costs 19× 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-4
- Last updated: 2026-10-12
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Claude Fable 5.1 scores higher in 8 categories and Mistral Large 4 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5.1 leads 76.7 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 90% for Claude Fable 5.1 and 27.4% for Mistral Large 4.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 69.0 | 43.1 |
| Rank | 2 | 99 |
| Context | 1M | 1.05M |
| Input $/M | $10 | $0.68 |
| Output $/M | $50 | $2.09 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Fable 5.1: 74.7 (#1)
- Mistral Large 4: 48.6 (#57)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1744 | 1541 |
| LMArena Coding | 1528 | 1475 |
| 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 4: —

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| 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 4: 22.5 (#192)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 90% | 27.4% |
| LMArena Hard Prompts | 1526 | 1444 |
| ARC-AGI-2 | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| Chess Puzzles | 47% | — |
| 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 4: 40.4 (#91)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1525 | 1488 |
| 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 4: 36.6 (#166)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 70.8% | 20% |
| LMArena Expert | 1535 | 1447 |
| Humanity's Last Exam | 46.5% | — |

## Multimodal

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

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1318 | — |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |

## Multilingual

- Claude Fable 5.1: 59.1 (#3)
- Mistral Large 4: 52.6 (#82)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1507 | 1415 |
| LMArena Chinese | 1586 | 1491 |
| LMArena Russian | 1521 | 1414 |
| LMArena French | 1525 | — |
| LMArena German | 1500 | — |
| LMArena Japanese | 1543 | — |
| LMArena Korean | 1534 | — |
| LMArena Spanish | 1516 | — |

## Instruction Following

- Claude Fable 5.1: 79.2 (#6)
- Mistral Large 4: 75.0 (#76)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1517 | 1424 |

## Long Context

- Claude Fable 5.1: 46.7 (#20)
- Mistral Large 4: 43.6 (#89)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1522 | 1429 |

## Writing & Preference

- Claude Fable 5.1: 79.2 (#2)
- Mistral Large 4: 60.4 (#97)

| Benchmark | Claude Fable 5.1 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1510 | 1427 |
| LMArena Creative Writing | 1507 | 1361 |
| LMArena Multi-Turn | 1492 | 1424 |
| EQ-Bench Creative Writing | 2162 | — |

## FAQ

### Is Claude Fable 5.1 better than Mistral Large 4?

Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 43.1 on the Noometry Index. Mistral Large 4 costs 19× 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 4?

Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Claude Fable 5.1 lists at $10 and $50.

### Is Claude Fable 5.1 or Mistral Large 4 better for coding?

Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 48.6 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

### How many benchmarks do Claude Fable 5.1 and Mistral Large 4 share?

15 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and Mistral Large 4 has 15.