Model comparison
Claude Opus 4 vs Mixtral 8x22B
Claude Opus 4 is the stronger model overall, scoring 42.9 to 26.7 on the Noometry Index. Mixtral 8x22B costs 10× less per token, which makes it the better buy when Claude Opus 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 Opus 4 scores higher in 9 categories and Mixtral 8x22B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4 leads 43.9 to 15.1.
- The biggest single-benchmark swing is MATH Level 5: 85% for Claude Opus 4 and 24.2% for Mixtral 8x22B.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Claude Opus 4 accepts more context: 200K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | Mixtral 8x22B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 42.9 | 26.7 |
| Released | 2025-05-22 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 200K | 64K |
| Max output | 32K | 64K |
| Input $ / M tokens | $15 | $2 |
| Output $ / M tokens | $75 | $6 |
| Results tracked | 56 | 34 |
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Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.8 (#55), Mixtral 8x22B: 23.8 (#324)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| WeirdML | 43.7% | 3.2% |
| LMArena Coding | 1442 | 1166 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| AlgoTune | 1.33 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Claude Opus 4 leads
Claude Opus 4: 34.5 (#39), Mixtral 8x22B: 22.8 (#119)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| Cybench | 38% | 7.5% |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.4 (#104), Mixtral 8x22B: 19.1 (#246)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1150 |
| DTBench | 81.6% | 55.1% |
| Epoch Capabilities Index | 142.67 | 122 |
| ForecastBench | 61.1 | 56.3 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 5.6% | — |
| LMCA | 37.4% | — |
Math Claude Opus 4 leads
Claude Opus 4: 40.2 (#80), Mixtral 8x22B: 21.2 (#271)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | 61.6% | 16.3% |
| LMArena Math | 1391 | 1184 |
| MATH Level 5 | 85% | 24.2% |
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4 leads
Claude Opus 4: 43.9 (#82), Mixtral 8x22B: 15.1 (#288)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 76.3% | 34.1% |
| MMLU-Pro | 87.5% | 46% |
| GPQA (HELM) | 70.8% | 33.4% |
| LMArena Expert | 1384 | 1113 |
| Humanity's Last Exam | 10.7% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| MMLU | — | 77.8% |
Multimodal Not comparable
Claude Opus 4: 30.9 (#101), Mixtral 8x22B: —
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual Claude Opus 4 leads
Claude Opus 4: 49.0 (#133), Mixtral 8x22B: 32.9 (#250)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1362 | 1128 |
| LMArena Chinese | 1386 | 1116 |
| LMArena French | 1370 | 1165 |
| LMArena German | 1391 | 1141 |
| LMArena Japanese | 1332 | 1037 |
| LMArena Korean | 1318 | 1056 |
| LMArena Russian | 1392 | 1158 |
| LMArena Spanish | 1388 | 1150 |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.3 (#26), Mixtral 8x22B: 57.9 (#261)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| IFEval | 91.8% | 72.4% |
| LMArena Instruction Following | 1406 | 1147 |
Long Context Claude Opus 4 leads
Claude Opus 4: 39.5 (#167), Mixtral 8x22B: 34.6 (#242)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1422 | 1144 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.4 (#85), Mixtral 8x22B: 37.1 (#257)
| Benchmark | Claude Opus 4 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1377 | 1162 |
| LMArena Creative Writing | 1386 | 1141 |
| WildBench | 85.2% | 71.1% |
| LMArena Multi-Turn | 1396 | 1130 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
Frequently asked questions
Is Claude Opus 4 better than Mixtral 8x22B?
Claude Opus 4 is the stronger model overall, scoring 42.9 to 26.7 on the Noometry Index. Mixtral 8x22B costs 10× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4 or Mixtral 8x22B?
Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4 lists at $15 and $75.
Is Claude Opus 4 or Mixtral 8x22B better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4 does, with 200K tokens against 64K.
How many benchmarks do Claude Opus 4 and Mixtral 8x22B share?
29 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Mixtral 8x22B has 34.