Model comparison
Claude Sonnet 4.6 vs Mistral Large 4
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 5.8× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 15 shared benchmarks.
Mistral AISummary
- They share 15 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 7 categories and Mistral Large 4 in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 22.5.
- The biggest single-benchmark swing is NYT Connections (extended): 80.9% for Claude Sonnet 4.6 and 27.4% for Mistral Large 4.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 4.6 | Mistral Large 4 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 50.3 | 43.1 |
| Released | 2026-02-17 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 262K |
| Input $ / M tokens | $3 | $0.68 |
| Output $ / M tokens | $15 | $2.09 |
| Results tracked | 57 | 15 |
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Category by category
Coding Mistral Large 4 leads
Claude Sonnet 4.6: 46.3 (#67), Mistral Large 4: 48.6 (#57)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1522 | 1541 |
| LMArena Coding | 1504 | 1475 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Mistral Large 4: —
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Mistral Large 4: 22.5 (#192)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 80.9% | 27.4% |
| LMArena Hard Prompts | 1484 | 1444 |
| ARC-AGI-2 | 60.4% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Mistral Large 4: 40.4 (#91)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1462 | 1488 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Mistral Large 4: 36.6 (#166)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 35.5% | 20% |
| LMArena Expert | 1500 | 1447 |
| GPQA Diamond | 87.4% | — |
| Vectara Hallucination Rate | 10.6% | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Mistral Large 4: —
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Mistral Large 4: 52.6 (#82)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1440 | 1415 |
| LMArena Chinese | 1491 | 1491 |
| LMArena Russian | 1440 | 1414 |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Mistral Large 4: 75.0 (#76)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1475 | 1424 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Mistral Large 4: 43.6 (#89)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1479 | 1429 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Mistral Large 4: 60.4 (#97)
| Benchmark | Claude Sonnet 4.6 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1458 | 1427 |
| LMArena Creative Writing | 1435 | 1361 |
| LMArena Multi-Turn | 1464 | 1424 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Mistral Large 4?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 43.1 on the Noometry Index. Mistral Large 4 costs 5.8× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.6 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 Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 46.3 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 4.6 and Mistral Large 4 share?
15 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Mistral Large 4 has 15.