Model comparison
Claude Sonnet 4 vs Mixtral 8x22B
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 27.1 on the Noometry Index. Mixtral 8x22B costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
Mistral AISummary
- They share 29 benchmarks with published results for both. Claude Sonnet 4 scores higher in 8 categories and Mixtral 8x22B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4 leads 41.8 to 15.1.
- The biggest single-benchmark swing is MATH Level 5: 84.4% for Claude Sonnet 4 and 24.2% for Mixtral 8x22B.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Claude Sonnet 4 accepts more context: 200K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Mixtral 8x22B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.8 | 27.1 |
| Released | 2025-05-22 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 200K | 64K |
| Max output | 64K | 64K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $6 |
| Results tracked | 58 | 34 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 43.5 (#88), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| WeirdML | 46.1% | 3.2% |
| LMArena Coding | 1414 | 1166 |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| SciCode | 40% | — |
| GSO | 4.9% | — |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 655.35 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.5 (#31), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| Cybench | 35% | 7.5% |
| TheAgentCompany | 33.1% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| METR Time Horizons | 62% | — |
Reasoning Claude Sonnet 4 leads
Claude Sonnet 4: 22.9 (#187), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1150 |
| DTBench | 77.1% | 55.1% |
| Epoch Capabilities Index | 141.69 | 122.03 |
| 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% | — |
Math Claude Sonnet 4 leads
Claude Sonnet 4: 43.3 (#80), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 60.2% | 16.3% |
| LMArena Math | 1375 | 1184 |
| MATH Level 5 | 84.4% | 24.2% |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Claude Sonnet 4 leads
Claude Sonnet 4: 41.8 (#108), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 79.2% | 34.1% |
| MMLU-Pro | 84.3% | 46% |
| GPQA (HELM) | 70.6% | 33.4% |
| LMArena Expert | 1372 | 1113 |
| Humanity's Last Exam | 7.8% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| MMLU | — | 77.8% |
Multimodal Not comparable
Claude Sonnet 4: 26.2 (#121), Mixtral 8x22B: —
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Claude Sonnet 4 leads
Claude Sonnet 4: 46.7 (#156), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1333 | 1128 |
| LMArena Chinese | 1350 | 1116 |
| LMArena French | 1363 | 1166 |
| LMArena German | 1331 | 1141 |
| LMArena Japanese | 1302 | 1037 |
| LMArena Korean | 1291 | 1057 |
| LMArena Russian | 1355 | 1158 |
| LMArena Spanish | 1357 | 1151 |
Instruction Following Claude Sonnet 4 leads
Claude Sonnet 4: 71.7 (#145), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| IFEval | 84% | 72.4% |
| LMArena Instruction Following | 1376 | 1147 |
Long Context Mixtral 8x22B leads
Claude Sonnet 4: 33.7 (#259), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1398 | 1144 |
| Fiction.LiveBench | 46.9% | — |
Writing & Preference Claude Sonnet 4 leads
Claude Sonnet 4: 57.1 (#132), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Claude Sonnet 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1351 | 1162 |
| LMArena Creative Writing | 1345 | 1141 |
| WildBench | 83.8% | 71.1% |
| LMArena Multi-Turn | 1376 | 1130 |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
Frequently asked questions
Is Claude Sonnet 4 better than Mixtral 8x22B?
Claude Sonnet 4 is the stronger model overall, scoring 40.8 to 27.1 on the Noometry Index. Mixtral 8x22B costs 2.0× 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 8x22B?
Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Mixtral 8x22B better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 43.5 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4 does, with 200K tokens against 64K.
How many benchmarks do Claude Sonnet 4 and Mixtral 8x22B share?
29 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Mixtral 8x22B has 34.