Model comparison
Claude Opus 4.5 vs Mistral Small 3.2
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 75× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Mistral AISummary
- They share 6 benchmarks with published results for both. Claude Opus 4.5 scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.5 leads 56.5 to 26.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 86.1% for Claude Opus 4.5 and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- Mistral Small 3.2 accepts more context: 256K tokens versus 200K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.5 | Mistral Small 3.2 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 50.5 | 31.2 |
| Released | 2025-11-01 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 200K | 256K |
| Max output | 64K | 16K |
| Input $ / M tokens | $5 | $0.0938 |
| Output $ / M tokens | $25 | $0.25 |
| Results tracked | 69 | 6 |
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Category by category
Coding Not comparable
Claude Opus 4.5: 54.8 (#27), Mistral Small 3.2: —
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1494 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.5: 47.3 (#12), Mistral Small 3.2: —
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.6 (#51), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 80.2% | 40.4% |
| Chess Puzzles | 12% | 1% |
| Epoch Capabilities Index | 150.09 | 131.74 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1476 | — |
| Mystery Game Puzzles | 22% | — |
| DTBench | 89.9% | — |
| LMCA | 44.5% | — |
| ForecastBench | 60.7 | — |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.6 (#132), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.1% | 30.3% |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 36% | — |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.5 (#44), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 86% | 49.1% |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
| LMArena Expert | 1487 | — |
Multimodal Not comparable
Claude Opus 4.5: 31.4 (#107), Mistral Small 3.2: —
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Not comparable
Claude Opus 4.5: 54.3 (#47), Mistral Small 3.2: —
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1471 | — |
| LMArena German | 1449 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1424 | — |
| LMArena Russian | 1447 | — |
| LMArena Spanish | 1458 | — |
Instruction Following Not comparable
Claude Opus 4.5: 77.5 (#19), Mistral Small 3.2: —
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1478 | — |
Long Context Not comparable
Claude Opus 4.5: 46.5 (#22), Mistral Small 3.2: —
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| CL-bench | 21.1% | — |
| LMArena Longer Query | 1480 | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), Mistral Small 3.2: 45.0 (#224)
| Benchmark | Claude Opus 4.5 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1687 | 1255 |
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1445 | — |
| LMArena Multi-Turn | 1466 | — |
Frequently asked questions
Is Claude Opus 4.5 better than Mistral Small 3.2?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 75× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.5 or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Which has the bigger context window?
Mistral Small 3.2 does, with 256K tokens against 200K.
How many benchmarks do Claude Opus 4.5 and Mistral Small 3.2 share?
6 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Mistral Small 3.2 has 6.