Model comparison
Claude 3.7 Sonnet vs Mistral 7B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 23.0 on the Noometry Index.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.7 Sonnet leads 39.8 to 7.4.
- The biggest single-benchmark swing is MATH Level 5: 91.2% for Claude 3.7 Sonnet and 3.7% for Mistral 7B.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Mistral 7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 23.0 |
| Released | 2025-02-24 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 58 | 37 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Mistral 7B: 26.4 (#326)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Coding | 1361 | 1082 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| BigCodeBench Instruct | — | 19.5% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 27.3% |
| CadEval | 54% | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), Mistral 7B: —
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 18.6 (#277), Mistral 7B: 13.1 (#336)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1067 |
| Epoch Capabilities Index | 141.16 | 112.21 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 42.5% |
| LiveBench Data Analysis | 74% | — |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| ForecastBench | 61.8 | — |
| HellaSwag | — | 81% |
| LiveBench | 76.1% | — |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Mistral 7B: 8.1 (#325)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 0.3% |
| LMArena Math | 1337 | 1085 |
| MATH Level 5 | 91.2% | 3.7% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 54.4% |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Mistral 7B: 7.4 (#311)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| GPQA Diamond | 79.7% | 15.2% |
| LMArena Expert | 1321 | 1036 |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Mistral 7B: —
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Mistral 7B: 25.8 (#283)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1296 | 1012 |
| LMArena Chinese | 1299 | 1009 |
| LMArena French | 1303 | 1037 |
| LMArena German | 1301 | 987 |
| LMArena Japanese | 1267 | 878 |
| LMArena Russian | 1311 | 1018 |
| LMArena Spanish | 1298 | 1026 |
| LMArena Korean | 1249 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Mistral 7B: 54.2 (#280)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1352 | 1060 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Mistral 7B: 32.2 (#271)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1373 | 1060 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Mistral 7B: 30.7 (#286)
| Benchmark | Claude 3.7 Sonnet | Mistral 7B |
|---|---|---|
| LMArena Text | 1314 | 1090 |
| LMArena Creative Writing | 1332 | 1068 |
| LMArena Multi-Turn | 1339 | 1062 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Mistral 7B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 23.0 on the Noometry Index.
Is Claude 3.7 Sonnet or Mistral 7B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 26.4 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Mistral 7B share?
20 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Mistral 7B has 37.