Model comparison
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.
Last verified . 28 shared benchmarks.
Mistral AISummary
- 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.
Side by side
| Claude 3.7 Sonnet | Mistral Small | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 33.4 |
| Released | 2025-02-24 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 58 | 39 |
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Category by category
Coding Claude 3.7 Sonnet leads
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 leads
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 Mistral Small leads
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 leads
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 leads
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 Too close to call
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 Mistral Small leads
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 leads
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 leads
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 leads
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% | — |
Frequently asked questions
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.