Model comparison
Claude Opus 4.1 vs Mistral Small 3.1
Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 75× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. Claude Opus 4.1 scores higher in 8 categories and Mistral Small 3.1 in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.1 leads 62.6 to 37.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 128K.
- Mistral Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.1 | Mistral Small 3.1 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 40.8 | 31.4 |
| Released | 2025-08-05 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 32K | 102K |
| Input $ / M tokens | $15 | $0.35 |
| Output $ / M tokens | $75 | $0.56 |
| Results tracked | 48 | 28 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.3 (#69), Mistral Small 3.1: 37.7 (#175)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1479 | 1309 |
| SWE-bench Verified | 73.3% | — |
| LMArena WebDev | 1390 | — |
| WeirdML | 45.9% | — |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.1: 34.8 (#38), Mistral Small 3.1: —
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| Terminal-Bench | 38% | — |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
Reasoning Claude Opus 4.1 leads
Claude Opus 4.1: 31.6 (#70), Mistral Small 3.1: 18.9 (#249)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 7% | 1% |
| LMArena Hard Prompts | 1443 | 1278 |
| Epoch Capabilities Index | 144.11 | 127.48 |
| SimpleBench | 60% | — |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| Mystery Game Puzzles | 21% | — |
| DTBench | 80% | — |
| LMCA | 37.1% | — |
| ForecastBench | 62 | — |
Math Claude Opus 4.1 leads
Claude Opus 4.1: 22.0 (#267), Mistral Small 3.1: 13.7 (#295)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 68.9% | 3.9% |
| LMArena Math | 1430 | 1261 |
| FrontierMath (Tiers 1-3) | 12.6% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 24.8% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.1 leads
Claude Opus 4.1: 41.9 (#93), Mistral Small 3.1: 22.6 (#266)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 77.3% | 41.9% |
| LMArena Expert | 1439 | 1258 |
| Humanity's Last Exam | 11.5% | — |
| MMLU-Pro | — | 61% |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
| GPQA (HELM) | — | 39.2% |
Multimodal Mistral Small 3.1 leads
Claude Opus 4.1: 26.2 (#114), Mistral Small 3.1: 32.6 (#93)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
| VPCT | 35% | — |
Multilingual Claude Opus 4.1 leads
Claude Opus 4.1: 52.1 (#90), Mistral Small 3.1: 41.4 (#204)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1405 | 1255 |
| LMArena Chinese | 1427 | 1254 |
| LMArena French | 1432 | 1270 |
| LMArena German | 1412 | 1266 |
| LMArena Japanese | 1378 | 1210 |
| LMArena Korean | 1381 | 1206 |
| LMArena Russian | 1421 | 1263 |
| LMArena Spanish | 1448 | 1283 |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.8 (#53), Mistral Small 3.1: 63.8 (#225)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1436 | 1264 |
| IFEval | — | 75% |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#60), Mistral Small 3.1: 39.5 (#172)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1455 | 1300 |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.6 (#70), Mistral Small 3.1: 37.2 (#254)
| Benchmark | Claude Opus 4.1 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1419 | 1278 |
| LMArena Creative Writing | 1412 | 1253 |
| LMArena Multi-Turn | 1444 | 1270 |
| Short-Story Creative Writing | 84.7% | — |
| EQ-Bench Creative Writing | — | 761 |
| WildBench | — | 78.8% |
Frequently asked questions
Is Claude Opus 4.1 better than Mistral Small 3.1?
Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 31.4 on the Noometry Index. Mistral Small 3.1 costs 75× 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 Mistral Small 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Claude Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or Mistral Small 3.1 better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.3 versus 37.7 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.1 does, with 200K tokens against 128K.
How many benchmarks do Claude Opus 4.1 and Mistral Small 3.1 share?
21 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mistral Small 3.1 has 28.