Model comparison
Claude Opus 4.1 vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Claude Opus 4.1 scores higher in 5 categories and Mistral Large 4 in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Large 4 leads 40.4 to 22.3.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Mistral Large 4 accepts more context: 1.05M tokens versus 200K.
Side by side
| Claude Opus 4.1 | Mistral Large 4 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 41.0 | 43.1 |
| Released | 2025-08-05 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 32K | 262K |
| Input $ / M tokens | $15 | $0.68 |
| Output $ / M tokens | $75 | $2.09 |
| Results tracked | 48 | 15 |
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Category by category
Coding Mistral Large 4 leads
Claude Opus 4.1: 44.4 (#73), Mistral Large 4: 48.6 (#57)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1390 | 1541 |
| LMArena Coding | 1479 | 1475 |
| 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 4: —
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| 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 4: 22.5 (#192)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1444 |
| SimpleBench | 60% | — |
| NYT Connections (extended) | — | 27.4% |
| Chess Puzzles | 7% | — |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| Mystery Game Puzzles | 21% | — |
| DTBench | 80% | — |
| LMCA | 37.1% | — |
| Epoch Capabilities Index | 144.12 | — |
| ForecastBench | 62 | — |
Math Mistral Large 4 leads
Claude Opus 4.1: 22.3 (#277), Mistral Large 4: 40.4 (#91)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1431 | 1488 |
| 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 4: 36.6 (#166)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1439 | 1447 |
| GPQA Diamond | 77.3% | — |
| Humanity's Last Exam | 11.5% | — |
| SimpleQA Verified | — | 20% |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
Multimodal Not comparable
Claude Opus 4.1: 26.8 (#119), Mistral Large 4: —
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| VPCT | 35% | — |
Multilingual Too close to call
Claude Opus 4.1: 52.0 (#95), Mistral Large 4: 52.6 (#82)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1405 | 1415 |
| LMArena Chinese | 1427 | 1491 |
| LMArena Russian | 1422 | 1414 |
| LMArena French | 1431 | — |
| LMArena German | 1413 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1448 | — |
Instruction Following Too close to call
Claude Opus 4.1: 75.6 (#58), Mistral Large 4: 75.0 (#76)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1435 | 1424 |
Long Context Too close to call
Claude Opus 4.1: 44.5 (#63), Mistral Large 4: 43.6 (#89)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1455 | 1429 |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.4 (#74), Mistral Large 4: 60.4 (#97)
| Benchmark | Claude Opus 4.1 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1419 | 1427 |
| LMArena Creative Writing | 1412 | 1361 |
| LMArena Multi-Turn | 1444 | 1424 |
| Short-Story Creative Writing | 84.7% | — |
Frequently asked questions
Is Claude Opus 4.1 better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 41.0 on the Noometry Index.
Which is cheaper, Claude Opus 4.1 or Mistral Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Claude Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 44.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 200K.
How many benchmarks do Claude Opus 4.1 and Mistral Large 4 share?
13 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and Mistral Large 4 has 15.