# Claude 3.7 Sonnet vs Mistral Small

> Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 33.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-mistral-small
- Last updated: 2026-10-11
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 8 categories and Mistral Small in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude 3.7 Sonnet leads 37.5 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 5.8% for Mistral Small.
- Mistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 33.4 |
| Rank | 164 | 243 |
| Context | — | 262K |
| Input $/M | — | $0.15 |
| Output $/M | — | $0.60 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.7 Sonnet: 40.6 (#136)
- Mistral Small: 34.0 (#247)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LiveBench Coding | 74.5% | 36.2% |
| LMArena Coding | 1361 | 1362 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| SciCode | — | 26.5% |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 36.1% |
| BigCodeBench Complete | — | 46.6% |
| CadEval | 54% | — |
| ALE-Bench | — | 497.62 |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 34.1 (#50)
- Mistral Small: 28.1 (#93)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.6 (#277)
- Mistral Small: 19.8 (#250)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LiveBench Reasoning | 87.8% | 44.8% |
| LMArena Hard Prompts | 1333 | 1335 |
| LiveBench Data Analysis | 74% | 53.7% |
| LiveBench | 76.1% | 44% |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 37.8% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 0% |
| EnigmaEval | 4.2% | — |
| DTBench | — | 70.9% |
| LMCA | — | 20.6% |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |

## Math

- Claude 3.7 Sonnet: 37.5 (#153)
- Mistral Small: 16.4 (#293)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 5.8% |
| LiveBench Math | 79% | 39.9% |
| LMArena Math | 1337 | 1341 |
| MATH Level 5 | 91.2% | 46.8% |
| Omni-MATH | 33% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.8 (#130)
- Mistral Small: 31.0 (#222)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| GPQA Diamond | 79.7% | 47.5% |
| LMArena Expert | 1321 | 1291 |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| Vectara Hallucination Rate | — | 5.1% |
| GPQA (HELM) | 60.8% | — |
| MMLU | — | 68.7% |

## Multimodal

- Claude 3.7 Sonnet: 33.7 (#95)
- Mistral Small: 33.5 (#96)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LMArena Vision | 1169 | 1142 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.1 (#179)
- Mistral Small: 45.5 (#169)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LMArena Non-English | 1296 | 1315 |
| LMArena Chinese | 1299 | 1340 |
| LMArena French | 1303 | 1337 |
| LMArena German | 1301 | 1340 |
| LMArena Japanese | 1267 | 1275 |
| LMArena Korean | 1249 | 1259 |
| LMArena Russian | 1311 | 1324 |
| LMArena Spanish | 1298 | 1346 |

## Instruction Following

- Claude 3.7 Sonnet: 72.9 (#125)
- Mistral Small: 66.4 (#209)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | 81.3% | 63.7% |
| LMArena Instruction Following | 1352 | 1310 |
| IFEval | 83.4% | — |

## Long Context

- Claude 3.7 Sonnet: 50.3 (#10)
- Mistral Small: 40.4 (#156)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1373 | 1327 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.4 (#150)
- Mistral Small: 52.5 (#171)

| Benchmark | Claude 3.7 Sonnet | Mistral Small |
|---|---|---|
| LMArena Text | 1314 | 1338 |
| LMArena Creative Writing | 1332 | 1305 |
| LMArena Multi-Turn | 1339 | 1344 |
| LiveBench Language | 59.9% | 30.5% |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |

## FAQ

### Is Claude 3.7 Sonnet better than Mistral Small?

Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 33.4 on the Noometry Index.

### Is Claude 3.7 Sonnet or Mistral Small better for coding?

Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 34.0 in the Noometry coding category.

### How many benchmarks do Claude 3.7 Sonnet and Mistral Small share?

28 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Mistral Small has 39.