# Claude 3.7 Sonnet vs Mixtral 8x22B

> Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 26.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-7-sonnet-vs-mixtral-8x22b
- Last updated: 2026-10-10
- Shared benchmarks: 27

## Summary

- They share 27 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 8 categories and Mixtral 8x22B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude 3.7 Sonnet leads 39.7 to 15.1.
- The biggest single-benchmark swing is MATH Level 5: 91.2% for Claude 3.7 Sonnet and 24.2% for Mixtral 8x22B.
- Mixtral 8x22B has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.4 | 26.7 |
| Rank | 154 | 330 |
| Context | — | 64K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.7 Sonnet: 41.1 (#120)
- Mixtral 8x22B: 23.8 (#324)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1361 | 1166 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| LiveBench Coding | 74.5% | — |
| BigCodeBench Complete | — | 50.2% |
| CadEval | 54% | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |

## Agentic & Tool Use

- Claude 3.7 Sonnet: 33.9 (#46)
- Mixtral 8x22B: 22.8 (#119)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| Cybench | 20% | 7.5% |
| TheAgentCompany | 30.9% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |

## Reasoning

- Claude 3.7 Sonnet: 18.7 (#252)
- Mixtral 8x22B: 19.1 (#246)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1150 |
| Epoch Capabilities Index | 141.16 | 122 |
| 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 | — | 55.1% |
| LiveBench Data Analysis | 74% | — |
| LiveBench | 76.1% | — |

## Math

- Claude 3.7 Sonnet: 35.7 (#137)
- Mixtral 8x22B: 21.2 (#271)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 33% | 16.3% |
| LMArena Math | 1336 | 1184 |
| MATH Level 5 | 91.2% | 24.2% |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 79% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |

## Knowledge

- Claude 3.7 Sonnet: 39.7 (#117)
- Mixtral 8x22B: 15.1 (#288)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 79.7% | 34.1% |
| MMLU-Pro | 78.4% | 46% |
| GPQA (HELM) | 60.8% | 33.4% |
| LMArena Expert | 1321 | 1113 |
| Humanity's Last Exam | 8% | — |
| Confabulations | 14.7% | — |
| MMLU | — | 77.8% |

## Multimodal

- Claude 3.7 Sonnet: 33.1 (#90)
- Mixtral 8x22B: —

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |

## Multilingual

- Claude 3.7 Sonnet: 44.3 (#174)
- Mixtral 8x22B: 32.9 (#250)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1296 | 1128 |
| LMArena Chinese | 1299 | 1116 |
| LMArena French | 1302 | 1165 |
| LMArena German | 1301 | 1141 |
| LMArena Japanese | 1268 | 1037 |
| LMArena Korean | 1249 | 1056 |
| LMArena Russian | 1311 | 1158 |
| LMArena Spanish | 1299 | 1150 |

## Instruction Following

- Claude 3.7 Sonnet: 73.1 (#120)
- Mixtral 8x22B: 57.9 (#261)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| IFEval | 83.4% | 72.4% |
| LMArena Instruction Following | 1352 | 1147 |
| LiveBench Instruction Following | 81.3% | — |

## Long Context

- Claude 3.7 Sonnet: 50.2 (#10)
- Mixtral 8x22B: 34.6 (#242)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1373 | 1144 |
| Fiction.LiveBench | 83.3% | — |

## Writing & Preference

- Claude 3.7 Sonnet: 54.6 (#145)
- Mixtral 8x22B: 37.1 (#257)

| Benchmark | Claude 3.7 Sonnet | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1314 | 1162 |
| LMArena Creative Writing | 1332 | 1141 |
| WildBench | 81.4% | 71.1% |
| LMArena Multi-Turn | 1339 | 1130 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| LiveBench Language | 59.9% | — |

## FAQ

### Is Claude 3.7 Sonnet better than Mixtral 8x22B?

Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 26.7 on the Noometry Index.

### Is Claude 3.7 Sonnet or Mixtral 8x22B better for coding?

Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 23.8 in the Noometry coding category.

### How many benchmarks do Claude 3.7 Sonnet and Mixtral 8x22B share?

27 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Mixtral 8x22B has 34.