Model comparison
Claude Opus 4 vs Mistral Medium 3.1
Claude Opus 4 is the stronger model overall, scoring 43.1 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 38× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Claude Opus 4 scores higher in 2 categories and Mistral Medium 3.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4 leads 27.3 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Claude Opus 4 accepts more context: 200K tokens versus 131K.
Side by side
| Claude Opus 4 | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 43.1 | 31.9 |
| Released | 2025-05-22 | — |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 131K |
| Max output | 32K | 105K |
| Input $ / M tokens | $15 | $0.40 |
| Output $ / M tokens | $75 | $2 |
| Results tracked | 56 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Claude Opus 4: 47.2 (#62), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1442 | — |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Not comparable
Claude Opus 4: 34.8 (#42), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.3 (#121), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| NYT Connections (extended) | — | 6.5% |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 5.6% | — |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1399 | — |
| DTBench | 81.6% | — |
| LMCA | 37.4% | — |
| Epoch Capabilities Index | 142.67 | — |
| ForecastBench | 61.1 | — |
Math Not comparable
Claude Opus 4: 42.0 (#86), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| Omni-MATH | 61.6% | — |
| LMArena Math | 1390 | — |
| MATH Level 5 | 85% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Claude Opus 4: 44.0 (#88), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| GPQA Diamond | 76.3% | — |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
| LMArena Expert | 1386 | — |
Multimodal Not comparable
Claude Opus 4: 31.5 (#106), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual Not comparable
Claude Opus 4: 48.8 (#138), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1362 | — |
| LMArena Chinese | 1386 | — |
| LMArena French | 1372 | — |
| LMArena German | 1391 | — |
| LMArena Japanese | 1331 | — |
| LMArena Korean | 1321 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1389 | — |
Instruction Following Not comparable
Claude Opus 4: 77.1 (#28), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| IFEval | 91.8% | — |
| LMArena Instruction Following | 1406 | — |
Long Context Not comparable
Claude Opus 4: 39.6 (#172), Mistral Medium 3.1: —
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| Fiction.LiveBench | 61.1% | — |
| LMArena Longer Query | 1422 | — |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.2 (#89), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Claude Opus 4 | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1580 | 1476 |
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1387 | — |
| Short-Story Creative Writing | 83.6% | — |
| WildBench | 85.2% | — |
| LMArena Multi-Turn | 1396 | — |
Frequently asked questions
Is Claude Opus 4 better than Mistral Medium 3.1?
Claude Opus 4 is the stronger model overall, scoring 43.1 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 38× 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 Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Claude Opus 4 lists at $15 and $75.
Which has the bigger context window?
Claude Opus 4 does, with 200K tokens against 131K.
How many benchmarks do Claude Opus 4 and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Claude Opus 4 has 56 scored results on Noometry and Mistral Medium 3.1 has 3.