Model comparison
Claude 3.7 Sonnet vs Mixtral 8x7B
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 27.1 on the Noometry Index.
Last verified . 26 shared benchmarks.
Mistral AISummary
- They share 26 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 8 categories and Mixtral 8x7B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.7 Sonnet leads 39.8 to 11.0.
- The biggest single-benchmark swing is MATH Level 5: 91.2% for Claude 3.7 Sonnet and 10% for Mixtral 8x7B.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Mixtral 8x7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 27.1 |
| Released | 2025-02-24 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | — | 32K |
| Max output | — | 32K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 58 | 38 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1361 | 1126 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Claude 3.7 Sonnet: 34.1 (#50), Mixtral 8x7B: —
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Too close to call
Claude 3.7 Sonnet: 18.6 (#277), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1115 |
| Epoch Capabilities Index | 141.16 | 118.47 |
| ForecastBench | 61.8 | 56.3 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 49.6% |
| LiveBench Data Analysis | 74% | — |
| Adversarial NLI | — | 55.2% |
| HellaSwag | — | 86.7% |
| LiveBench | 76.1% | — |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 37.5 (#153), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 33% | 10.5% |
| LMArena Math | 1337 | 1147 |
| MATH Level 5 | 91.2% | 10% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 79% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| GSM8K | — | 74.4% |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.8 (#130), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 79.7% | 30.6% |
| MMLU-Pro | 78.4% | 33.5% |
| GPQA (HELM) | 60.8% | 29.6% |
| LMArena Expert | 1321 | 1088 |
| Humanity's Last Exam | 8% | — |
| Confabulations | 14.7% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Mixtral 8x7B: —
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 44.1 (#179), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1296 | 1077 |
| LMArena Chinese | 1299 | 1055 |
| LMArena French | 1303 | 1166 |
| LMArena German | 1301 | 1114 |
| LMArena Japanese | 1267 | 931 |
| LMArena Korean | 1249 | 968 |
| LMArena Russian | 1311 | 1090 |
| LMArena Spanish | 1298 | 1111 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| IFEval | 83.4% | 57.5% |
| LMArena Instruction Following | 1352 | 1109 |
| LiveBench Instruction Following | 81.3% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1373 | 1103 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Claude 3.7 Sonnet | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1314 | 1132 |
| LMArena Creative Writing | 1332 | 1109 |
| WildBench | 81.4% | 67.3% |
| LMArena Multi-Turn | 1339 | 1115 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Mixtral 8x7B?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 27.1 on the Noometry Index.
Is Claude 3.7 Sonnet or Mixtral 8x7B better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 32.8 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Mixtral 8x7B share?
26 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Mixtral 8x7B has 38.