Model comparison
Claude Sonnet 4 vs Mixtral 8x7B
Claude Sonnet 4 is the stronger model overall, scoring 40.6 to 26.8 on the Noometry Index. Mixtral 8x7B costs 8.6× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Mistral AISummary
- They share 27 benchmarks with published results for both. Claude Sonnet 4 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 Sonnet 4 leads 41.6 to 11.0.
- The biggest single-benchmark swing is MATH Level 5: 84.4% for Claude Sonnet 4 and 10% for Mixtral 8x7B.
- Mixtral 8x7B is cheaper at $0.70 / $0.70 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 32K.
- Mixtral 8x7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Mixtral 8x7B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.6 | 26.8 |
| Released | 2025-05-22 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 200K | 32K |
| Max output | 64K | 32K |
| Input $ / M tokens | $3 | $0.70 |
| Output $ / M tokens | $15 | $0.70 |
| Results tracked | 58 | 38 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 44.0 (#70), Mixtral 8x7B: 32.2 (#265)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1414 | 1127 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| WeirdML | 46.1% | — |
| ALE-Bench | 655.35 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Claude Sonnet 4: 38.3 (#29), Mixtral 8x7B: —
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 23.0 (#169), Mixtral 8x7B: 17.4 (#283)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1115 |
| DTBench | 77.1% | 49.6% |
| Epoch Capabilities Index | 141.69 | 118.38 |
| ForecastBench | 60.2 | 56.3 |
| ARC-AGI-2 | 5.9% | — |
| SimpleBench | 45.5% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 3.1% | — |
| LMCA | 29% | — |
| Adversarial NLI | — | 55.2% |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 41.5 (#71), Mixtral 8x7B: 17.2 (#284)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| Omni-MATH | 60.2% | 10.5% |
| LMArena Math | 1375 | 1147 |
| MATH Level 5 | 84.4% | 10% |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 74.4% |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.6 (#99), Mixtral 8x7B: 11.0 (#296)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 79.2% | 30.6% |
| MMLU-Pro | 84.3% | 33.5% |
| GPQA (HELM) | 70.6% | 29.6% |
| LMArena Expert | 1371 | 1088 |
| Humanity's Last Exam | 7.8% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Claude Sonnet 4: 25.6 (#116), Mixtral 8x7B: —
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.9 (#151), Mixtral 8x7B: 29.8 (#261)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1333 | 1077 |
| LMArena Chinese | 1351 | 1055 |
| LMArena French | 1364 | 1165 |
| LMArena German | 1331 | 1114 |
| LMArena Japanese | 1301 | 931 |
| LMArena Korean | 1293 | 968 |
| LMArena Russian | 1355 | 1090 |
| LMArena Spanish | 1356 | 1110 |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.8 (#141), Mixtral 8x7B: 51.2 (#292)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| IFEval | 84% | 57.5% |
| LMArena Instruction Following | 1375 | 1110 |
Long Context Too close to call
Claude Sonnet 4: 33.6 (#254), Mixtral 8x7B: 33.4 (#255)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1398 | 1103 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.3 (#127), Mixtral 8x7B: 34.4 (#265)
| Benchmark | Claude Sonnet 4 | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1351 | 1132 |
| LMArena Creative Writing | 1345 | 1109 |
| WildBench | 83.8% | 67.3% |
| LMArena Multi-Turn | 1376 | 1115 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
Frequently asked questions
Is Claude Sonnet 4 better than Mixtral 8x7B?
Claude Sonnet 4 is the stronger model overall, scoring 40.6 to 26.8 on the Noometry Index. Mixtral 8x7B costs 8.6× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4 or Mixtral 8x7B?
Mixtral 8x7B is cheaper. It lists at $0.70 per million input tokens and $0.70 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Mixtral 8x7B better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 44.0 versus 32.2 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4 does, with 200K tokens against 32K.
How many benchmarks do Claude Sonnet 4 and Mixtral 8x7B share?
27 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Mixtral 8x7B has 38.