Model comparison
Claude Sonnet 4.6 vs Devstral Medium
Claude Sonnet 4.6 has enough public results to be ranked (#50); Devstral Medium does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Claude Sonnet 4.6 scores higher in 2 categories and Devstral Medium in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 21.1.
- Devstral Medium is cheaper at $0.40 / $2 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 262K.
- Devstral Medium has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Devstral Medium | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 50.3 | 30.1 |
| Released | 2026-02-17 | 2025-07-10 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $3 | $0.40 |
| Output $ / M tokens | $15 | $2 |
| Results tracked | 57 | 2 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Devstral Medium: 24.3
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| LMArena WebDev | 1522 | 1076 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| 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), Devstral Medium: 21.1
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| ARC-AGI-2 | 60.4% | — |
| Kagi LLM Benchmark | — | 37.7% |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Not comparable
Claude Sonnet 4.6: 52.9 (#49), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Not comparable
Claude Sonnet 4.6: 51.7 (#65), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.4 (#41), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.4 (#25), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#44), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.2 (#22), Devstral Medium: —
| Benchmark | Claude Sonnet 4.6 | Devstral Medium |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Devstral Medium?
Claude Sonnet 4.6 has enough public results to be ranked (#50); Devstral Medium does not yet, so treat this comparison as directional.
Which is cheaper, Claude Sonnet 4.6 or Devstral Medium?
Devstral Medium is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or Devstral Medium better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 24.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 262K.
How many benchmarks do Claude Sonnet 4.6 and Devstral Medium share?
1 benchmark has published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Devstral Medium has 2.