Model comparison
Claude Opus 5 vs Mistral Large
Claude Opus 5 is the stronger model overall, scoring 67.8 to 31.9 on the Noometry Index. Mistral Large costs 3.3× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Claude Opus 5 scores higher in 9 categories and Mistral Large in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5 leads 86.2 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Opus 5 and 8.5% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Claude Opus 5 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 67.8 | 31.9 |
| Released | 2026-07-24 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $5 | $2 |
| Output $ / M tokens | $25 | $6 |
| Results tracked | 57 | 51 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.5 (#5), Mistral Large: 34.3 (#240)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| SciCode | 56.4% | 36.2% |
| LMArena Coding | 1534 | 1277 |
| ALE-Bench | 2,165 | 264.7 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1691 | — |
| FrontierSWE | 52% | — |
| WeirdML | 91.8% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Claude Opus 5 leads
Claude Opus 5: 55.6 (#1), Mistral Large: 28.6 (#89)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| APEX-Agents | 65.8% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.2 (#4), Mistral Large: 15.8 (#310)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| SimpleBench | 80.6% | 22.5% |
| CritPt | 29.1% | 0% |
| LMArena Hard Prompts | 1526 | 1257 |
| DTBench | 97.9% | 65.1% |
| LMCA | 64.5% | 16.7% |
| Epoch Capabilities Index | 162.78 | 128.52 |
| ARC-AGI-2 | 90.4% | — |
| NYT Connections (extended) | 94.3% | — |
| ARC-AGI-1 | 97.5% | — |
| Chess Puzzles | 42% | — |
| EBR-Bench | 45.7% | — |
| LiveBench Reasoning | — | 43.5% |
| Mystery Game Puzzles | 59% | — |
| LiveBench Data Analysis | — | 50.1% |
| Bench to the Future 3 | 0.12 | — |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Claude Opus 5 leads
Claude Opus 5: 86.2 (#8), Mistral Large: 18.2 (#291)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 8.5% |
| LMArena Math | 1531 | 1262 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| ProofBench | 99% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#9), Mistral Large: 30.1 (#230)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| GPQA Diamond | 93.9% | 51.3% |
| LMArena Expert | 1557 | 1232 |
| SimpleQA Verified | 59.9% | — |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Claude Opus 5: 50.8 (#8), Mistral Large: —
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| LMArena Vision | 1319 | — |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |
Multilingual Claude Opus 5 leads
Claude Opus 5: 58.8 (#4), Mistral Large: 40.0 (#219)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1501 | 1237 |
| LMArena Chinese | 1574 | 1240 |
| LMArena French | 1519 | 1325 |
| LMArena German | 1524 | 1254 |
| LMArena Japanese | 1516 | 1188 |
| LMArena Korean | 1521 | 1202 |
| LMArena Russian | 1507 | 1257 |
| LMArena Spanish | 1519 | 1268 |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.2 (#7), Mistral Large: 67.9 (#191)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1517 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Claude Opus 5 leads
Claude Opus 5: 46.5 (#21), Mistral Large: 38.3 (#199)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1515 | 1261 |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.2 (#1), Mistral Large: 40.7 (#242)
| Benchmark | Claude Opus 5 | Mistral Large |
|---|---|---|
| LMArena Text | 1507 | 1266 |
| LMArena Creative Writing | 1491 | 1243 |
| EQ-Bench Creative Writing | 2133 | 985 |
| LMArena Multi-Turn | 1499 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| EQ-Bench 4 | 1385 | — |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Claude Opus 5 better than Mistral Large?
Claude Opus 5 is the stronger model overall, scoring 67.8 to 31.9 on the Noometry Index. Mistral Large costs 3.3× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5 or Mistral Large?
Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Opus 5 lists at $5 and $25.
Is Claude Opus 5 or Mistral Large better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.5 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 5 does, with 1M tokens against 131K.
How many benchmarks do Claude Opus 5 and Mistral Large share?
27 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Mistral Large has 51.