Model comparison
Claude Sonnet 4.6 vs Mistral Nemo
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 26.4 on the Noometry Index. Mistral Nemo costs 40× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.6 leads 70.2 to 28.5.
- The biggest single-benchmark swing is GPQA Diamond: 87.4% for Claude Sonnet 4.6 and 29.9% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Mistral Nemo | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 50.3 | 26.4 |
| Released | 2026-02-17 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $3 | $0.15 |
| Output $ / M tokens | $15 | $0.15 |
| Results tracked | 57 | 10 |
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Category by category
Coding Not comparable
Claude Sonnet 4.6: 46.3 (#67), Mistral Nemo: —
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#28), Mistral Nemo: 23.5 (#125)
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| BALROG | — | 17.6% |
| 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 Nemo: 20.7 (#232)
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| DTBench | 89.9% | 48.6% |
| Epoch Capabilities Index | 152.24 | 118.68 |
| ARC-AGI-2 | 60.4% | — |
| 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% | — |
| LMCA | 46.5% | — |
| ForecastBench | 62 | — |
| PIQA | — | 83.5% |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Mistral Nemo: 25.5 (#268)
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| MATH Level 5 | — | 10.8% |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
| GSM8K | — | 84.2% |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Mistral Nemo: 12.3 (#298)
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 87.4% | 29.9% |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Mistral Nemo: —
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.4 (#41), Mistral Nemo: —
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| 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), Mistral Nemo: —
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#44), Mistral Nemo: —
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Mistral Nemo: 28.5 (#296)
| Benchmark | Claude Sonnet 4.6 | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1810 | 881 |
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Mistral Nemo?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 26.4 on the Noometry Index. Mistral Nemo costs 40× 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 Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 128K.
How many benchmarks do Claude Sonnet 4.6 and Mistral Nemo share?
4 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Mistral Nemo has 10.