# Claude Opus 4.1 vs Mistral Large

> Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 31.9 on the Noometry Index. Mistral Large costs 10× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-1-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. Claude Opus 4.1 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.1 leads 62.4 to 40.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 8.5% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 41.0 | 31.9 |
| Rank | 142 | 263 |
| Context | 200K | 131K |
| Input $/M | $15 | $2 |
| Output $/M | $75 | $6 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.1: 44.4 (#73)
- Mistral Large: 34.3 (#240)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| LMArena Coding | 1479 | 1277 |
| ALE-Bench | 674.77 | 264.7 |
| SWE-bench Verified | 73.3% | — |
| LMArena WebDev | 1390 | — |
| SciCode | — | 36.2% |
| WeirdML | 45.9% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| AlgoTune | 1.34 | — |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Claude Opus 4.1: 35.0 (#41)
- Mistral Large: 28.6 (#89)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| Terminal-Bench | 38% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |

## Reasoning

- Claude Opus 4.1: 32.2 (#76)
- Mistral Large: 15.8 (#310)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| SimpleBench | 60% | 22.5% |
| LMArena Hard Prompts | 1443 | 1257 |
| DTBench | 80% | 65.1% |
| LMCA | 37.1% | 16.7% |
| Epoch Capabilities Index | 144.12 | 128.52 |
| ForecastBench | 62 | 57.1 |
| CritPt | — | 0% |
| Chess Puzzles | 7% | — |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| LiveBench Reasoning | — | 43.5% |
| Mystery Game Puzzles | 21% | — |
| LiveBench Data Analysis | — | 50.1% |
| LiveBench | — | 48.4% |

## Math

- Claude Opus 4.1: 22.3 (#277)
- Mistral Large: 18.2 (#291)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.9% | 8.5% |
| LMArena Math | 1431 | 1262 |
| FrontierMath (Feb 2025 set) | 7.2% | 0.3% |
| FrontierMath (Tiers 1-3) | 12.6% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Claude Opus 4.1: 42.0 (#101)
- Mistral Large: 30.1 (#230)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| GPQA Diamond | 77.3% | 51.3% |
| Confabulations | 17.1% | 21.4% |
| Vectara Hallucination Rate | 11.8% | 4.5% |
| LMArena Expert | 1439 | 1232 |
| Humanity's Last Exam | 11.5% | — |
| MMLU-Pro | — | 59.9% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multimodal

- Claude Opus 4.1: 26.8 (#119)
- Mistral Large: —

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| VPCT | 35% | — |

## Multilingual

- Claude Opus 4.1: 52.0 (#95)
- Mistral Large: 40.0 (#219)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1405 | 1237 |
| LMArena Chinese | 1427 | 1240 |
| LMArena French | 1431 | 1325 |
| LMArena German | 1413 | 1254 |
| LMArena Japanese | 1378 | 1188 |
| LMArena Korean | 1380 | 1202 |
| LMArena Russian | 1422 | 1257 |
| LMArena Spanish | 1448 | 1268 |

## Instruction Following

- Claude Opus 4.1: 75.6 (#58)
- Mistral Large: 67.9 (#191)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1435 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Claude Opus 4.1: 44.5 (#63)
- Mistral Large: 38.3 (#199)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1455 | 1261 |

## Writing & Preference

- Claude Opus 4.1: 62.4 (#74)
- Mistral Large: 40.7 (#242)

| Benchmark | Claude Opus 4.1 | Mistral Large |
|---|---|---|
| LMArena Text | 1419 | 1266 |
| LMArena Creative Writing | 1412 | 1243 |
| Short-Story Creative Writing | 84.7% | 69% |
| LMArena Multi-Turn | 1444 | 1260 |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Claude Opus 4.1 better than Mistral Large?

Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 31.9 on the Noometry Index. Mistral Large costs 10× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.1 or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.1 lists at $15 and $75.

### Is Claude Opus 4.1 or Mistral Large better for coding?

Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 34.3 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.1 does, with 200K tokens against 131K.

### How many benchmarks do Claude Opus 4.1 and Mistral Large share?

29 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mistral Large has 51.