Model comparison
Claude Sonnet 4.5 vs Pixtral Large
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 32.2 on the Noometry Index. Pixtral Large costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.5 to 32.9.
- The biggest single-benchmark swing is EnigmaEval: 6% for Claude Sonnet 4.5 and 0.8% for Pixtral Large.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.5.
- Claude Sonnet 4.5 accepts more context: 200K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Pixtral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 44.1 | 32.2 |
| Released | 2025-09-29 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 64K | 128K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $6 |
| Results tracked | 73 | 3 |
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Category by category
Coding Not comparable
Claude Sonnet 4.5: 47.3 (#61), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| LMArena Coding | 1489 | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 26.9 (#125), Pixtral Large: 21.7 (#218)
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| EnigmaEval | 6% | 0.8% |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EBR-Bench | 2.4% | — |
| LMArena Hard Prompts | 1462 | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Not comparable
Claude Sonnet 4.5: 32.3 (#216), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| LMArena Math | 1449 | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Claude Sonnet 4.5: 48.4 (#76), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1482 | — |
Multimodal Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 34.8 (#89), Pixtral Large: 30.6 (#111)
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Not comparable
Claude Sonnet 4.5: 53.4 (#69), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1425 | — |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Russian | 1437 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
Claude Sonnet 4.5: 75.0 (#78), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1459 | — |
Long Context Not comparable
Claude Sonnet 4.5: 45.2 (#46), Pixtral Large: —
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Pixtral Large: 32.9 (#278)
| Benchmark | Claude Sonnet 4.5 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1678 | 988 |
| LMArena Text | 1439 | — |
| LMArena Creative Writing | 1442 | — |
| WildBench | 85.4% | — |
| LMArena Multi-Turn | 1465 | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Pixtral Large?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 32.2 on the Noometry Index. Pixtral Large costs 2.0× less per token, which makes it the better buy when Claude Sonnet 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.5 or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 4.5 lists at $3 and $15.
Which has the bigger context window?
Claude Sonnet 4.5 does, with 200K tokens against 128K.
How many benchmarks do Claude Sonnet 4.5 and Pixtral Large share?
2 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Pixtral Large has 3.