Model comparison
Claude Opus 4.1 vs Mixtral 8x22B
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 27.1 on the Noometry Index. Mixtral 8x22B costs 10× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Mistral AISummary
- They share 23 benchmarks with published results for both. Claude Opus 4.1 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 Opus 4.1 leads 42.0 to 15.1.
- The biggest single-benchmark swing is GPQA Diamond: 77.3% for Claude Opus 4.1 and 34.1% for Mixtral 8x22B.
- Mixtral 8x22B is cheaper at $2 / $6 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.1 | Mixtral 8x22B | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 41.0 | 27.1 |
| Released | 2025-08-05 | 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 | 48 | 34 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.4 (#73), Mixtral 8x22B: 24.2 (#329)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| WeirdML | 45.9% | 3.2% |
| LMArena Coding | 1479 | 1166 |
| SWE-bench Verified | 73.3% | — |
| LMArena WebDev | 1390 | — |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Claude Opus 4.1 leads
Claude Opus 4.1: 35.0 (#41), Mixtral 8x22B: 23.1 (#127)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| Cybench | 42% | 7.5% |
| Terminal-Bench | 38% | — |
| GDPval | 43.6% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
Reasoning Claude Opus 4.1 leads
Claude Opus 4.1: 32.2 (#76), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1150 |
| DTBench | 80% | 55.1% |
| Epoch Capabilities Index | 144.12 | 122.03 |
| ForecastBench | 62 | 56.3 |
| SimpleBench | 60% | — |
| Chess Puzzles | 7% | — |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| Mystery Game Puzzles | 21% | — |
| LMCA | 37.1% | — |
Math Too close to call
Claude Opus 4.1: 22.3 (#277), Mixtral 8x22B: 22.9 (#275)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1431 | 1184 |
| FrontierMath (Tiers 1-3) | 12.6% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 68.9% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.1 leads
Claude Opus 4.1: 42.0 (#101), Mixtral 8x22B: 15.1 (#293)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | 77.3% | 34.1% |
| LMArena Expert | 1439 | 1113 |
| Humanity's Last Exam | 11.5% | — |
| MMLU-Pro | — | 46% |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
Claude Opus 4.1: 26.8 (#119), Mixtral 8x22B: —
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| VPCT | 35% | — |
Multilingual Claude Opus 4.1 leads
Claude Opus 4.1: 52.0 (#95), Mixtral 8x22B: 32.8 (#255)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1405 | 1128 |
| LMArena Chinese | 1427 | 1116 |
| LMArena French | 1431 | 1166 |
| LMArena German | 1413 | 1141 |
| LMArena Japanese | 1378 | 1037 |
| LMArena Korean | 1380 | 1057 |
| LMArena Russian | 1422 | 1158 |
| LMArena Spanish | 1448 | 1151 |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.6 (#58), Mixtral 8x22B: 57.7 (#266)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1435 | 1147 |
| IFEval | — | 72.4% |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#63), Mixtral 8x22B: 34.7 (#247)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1455 | 1144 |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.4 (#74), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Claude Opus 4.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1419 | 1162 |
| LMArena Creative Writing | 1412 | 1141 |
| LMArena Multi-Turn | 1444 | 1130 |
| Short-Story Creative Writing | 84.7% | — |
| WildBench | — | 71.1% |
Frequently asked questions
Is Claude Opus 4.1 better than Mixtral 8x22B?
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 27.1 on the Noometry Index. Mixtral 8x22B costs 10× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.1 or Mixtral 8x22B?
Mixtral 8x22B is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or Mixtral 8x22B better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.1 does, with 200K tokens against 64K.
How many benchmarks do Claude Opus 4.1 and Mixtral 8x22B share?
23 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mixtral 8x22B has 34.