Model comparison
Claude Sonnet 5 vs Mistral Large
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 31.9 on the Noometry Index.
Last verified . 28 shared benchmarks.
Mistral AISummary
- They share 28 benchmarks with published results for both. Claude Sonnet 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 Sonnet 5 leads 66.2 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.7% for Claude Sonnet 5 and 8.5% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.
- Claude Sonnet 5 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 54.6 | 31.9 |
| Released | 2026-06-29 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 51 | 51 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#26), Mistral Large: 34.3 (#240)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| SciCode | 54.3% | 36.2% |
| LMArena Coding | 1483 | 1277 |
| ALE-Bench | 1,463 | 264.7 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1541 | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Claude Sonnet 5 leads
Claude Sonnet 5: 42.8 (#18), Mistral Large: 28.6 (#89)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| APEX-Agents | 54.5% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 49.1 (#39), Mistral Large: 15.8 (#310)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| SimpleBench | 60.6% | 22.5% |
| CritPt | 16.9% | 0% |
| LMArena Hard Prompts | 1461 | 1257 |
| DTBench | 92.5% | 65.1% |
| LMCA | 50% | 16.7% |
| Epoch Capabilities Index | 156.21 | 128.52 |
| ForecastBench | 61.1 | 57.1 |
| NYT Connections (extended) | 75.1% | — |
| Chess Puzzles | 35% | — |
| LiveBench Reasoning | — | 43.5% |
| Mystery Game Puzzles | 35% | — |
| LiveBench Data Analysis | — | 50.1% |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| LiveBench | — | 48.4% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.2 (#27), Mistral Large: 18.2 (#291)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.7% | 8.5% |
| LMArena Math | 1467 | 1262 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 77% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.6 (#47), Mistral Large: 30.1 (#230)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| GPQA Diamond | 90.5% | 51.3% |
| LMArena Expert | 1490 | 1232 |
| SimpleQA Verified | 33.7% | — |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
Claude Sonnet 5: 42.4 (#31), Mistral Large: —
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| LMArena Vision | 1274 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 53.8 (#55), Mistral Large: 40.0 (#219)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1431 | 1237 |
| LMArena Chinese | 1477 | 1240 |
| LMArena French | 1460 | 1325 |
| LMArena German | 1440 | 1254 |
| LMArena Japanese | 1422 | 1188 |
| LMArena Korean | 1411 | 1202 |
| LMArena Russian | 1451 | 1257 |
| LMArena Spanish | 1437 | 1268 |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.3 (#41), Mistral Large: 67.9 (#191)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1452 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#55), Mistral Large: 38.3 (#199)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1463 | 1261 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.2 (#25), Mistral Large: 40.7 (#242)
| Benchmark | Claude Sonnet 5 | Mistral Large |
|---|---|---|
| LMArena Text | 1442 | 1266 |
| LMArena Creative Writing | 1416 | 1243 |
| EQ-Bench Creative Writing | 1794 | 985 |
| LMArena Multi-Turn | 1454 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| EQ-Bench 4 | 1236 | — |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Claude Sonnet 5 better than Mistral Large?
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 31.9 on the Noometry Index.
Which is cheaper, Claude Sonnet 5 or Mistral Large?
Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 5 lists at $2 and $10.
Is Claude Sonnet 5 or Mistral Large better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5 does, with 1M tokens against 131K.
How many benchmarks do Claude Sonnet 5 and Mistral Large share?
28 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Mistral Large has 51.