Model comparison
Claude Opus 4.1 vs Mistral Large 3
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 80× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Mistral AISummary
- They share 19 benchmarks with published results for both. Claude Opus 4.1 scores higher in 6 categories and Mistral Large 3 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.1 leads 32.2 to 15.2.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Mistral Large 3 accepts more context: 262K tokens versus 200K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.1 | Mistral Large 3 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 41.0 | 39.1 |
| Released | 2025-08-05 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 32K | 8K |
| Input $ / M tokens | $15 | $0.25 |
| Output $ / M tokens | $75 | $0.75 |
| Results tracked | 48 | 24 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.4 (#73), Mistral Large 3: 34.4 (#237)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1390 | 1230 |
| LMArena Coding | 1479 | 1448 |
| SWE-bench Verified | 73.3% | — |
| WeirdML | 45.9% | — |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.1: 35.0 (#41), Mistral Large 3: —
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| 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: 32.2 (#76), Mistral Large 3: 15.2 (#319)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1429 |
| SimpleBench | 60% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Chess Puzzles | 7% | — |
| EnigmaEval | 7.2% | — |
| Thematic Generalization | — | 23% |
| EBR-Bench | 7.9% | — |
| Mystery Game Puzzles | 21% | — |
| DTBench | 80% | — |
| LMCA | 37.1% | — |
| Epoch Capabilities Index | 144.12 | — |
| ForecastBench | 62 | — |
Math Mistral Large 3 leads
Claude Opus 4.1: 22.3 (#277), Mistral Large 3: 38.7 (#129)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1431 | 1414 |
| FrontierMath (Tiers 1-3) | 12.6% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 68.9% | — |
| 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), Mistral Large 3: 36.0 (#177)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | 11.8% | 14.5% |
| LMArena Expert | 1439 | 1421 |
| GPQA Diamond | 77.3% | — |
| Humanity's Last Exam | 11.5% | — |
| Confabulations | 17.1% | — |
Multimodal Mistral Large 3 leads
Claude Opus 4.1: 26.8 (#119), Mistral Large 3: 38.2 (#66)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
| VPCT | 35% | — |
Multilingual Too close to call
Claude Opus 4.1: 52.0 (#95), Mistral Large 3: 52.5 (#84)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1405 | 1413 |
| LMArena Chinese | 1427 | 1447 |
| LMArena French | 1431 | 1455 |
| LMArena German | 1413 | 1437 |
| LMArena Japanese | 1378 | 1394 |
| LMArena Korean | 1380 | 1384 |
| LMArena Russian | 1422 | 1411 |
| LMArena Spanish | 1448 | 1440 |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.6 (#58), Mistral Large 3: 74.0 (#108)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1435 | 1403 |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#63), Mistral Large 3: 43.1 (#105)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1455 | 1413 |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.4 (#74), Mistral Large 3: 60.0 (#101)
| Benchmark | Claude Opus 4.1 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1419 | 1428 |
| LMArena Creative Writing | 1412 | 1386 |
| LMArena Multi-Turn | 1444 | 1429 |
| Short-Story Creative Writing | 84.7% | — |
| EQ-Bench Creative Writing | — | 1412 |
Frequently asked questions
Is Claude Opus 4.1 better than Mistral Large 3?
Claude Opus 4.1 is the stronger model overall, scoring 41.0 to 39.1 on the Noometry Index. Mistral Large 3 costs 80× 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 Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Claude Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or Mistral Large 3 better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 200K.
How many benchmarks do Claude Opus 4.1 and Mistral Large 3 share?
19 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mistral Large 3 has 24.