Model comparison
Claude Opus 5 vs Mistral Small
Claude Opus 5 is the stronger model overall, scoring 67.7 to 33.1 on the Noometry Index. Mistral Small costs 38× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 25 shared benchmarks.
Mistral AISummary
- They share 25 benchmarks with published results for both. Claude Opus 5 scores higher in 10 categories and Mistral Small in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5 leads 86.1 to 15.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Opus 5 and 5.8% for Mistral Small.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Claude Opus 5 accepts more context: 1M tokens versus 256K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5 | Mistral Small | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 67.7 | 33.1 |
| Released | 2026-07-24 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1M | 256K |
| Max output | 128K | 256K |
| Input $ / M tokens | $5 | $0.15 |
| Output $ / M tokens | $25 | $0.60 |
| Results tracked | 57 | 39 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.0 (#5), Mistral Small: 33.5 (#242)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| SciCode | 56.4% | 26.5% |
| LMArena Coding | 1533 | 1363 |
| ALE-Bench | 2,165 | 497.62 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1694 | — |
| FrontierSWE | 52% | — |
| WeirdML | 91.8% | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
Agentic & Tool Use Claude Opus 5 leads
Claude Opus 5: 55.5 (#1), Mistral Small: 27.9 (#87)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| APEX-Agents | 65.8% | — |
| Berkeley Function Calling Leaderboard | — | 37.1% |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.1 (#3), Mistral Small: 19.3 (#238)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| CritPt | 29.1% | 0% |
| LMArena Hard Prompts | 1525 | 1336 |
| DTBench | 97.9% | 70.9% |
| LMCA | 64.5% | 20.6% |
| ARC-AGI-2 | 90.4% | — |
| SimpleBench | 80.6% | — |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 94.3% | — |
| ARC-AGI-1 | 97.5% | — |
| Chess Puzzles | 42% | — |
| EBR-Bench | 45.7% | — |
| LiveBench Reasoning | — | 44.8% |
| Mystery Game Puzzles | 59% | — |
| LiveBench Data Analysis | — | 53.7% |
| Bench to the Future 3 | 0.12 | — |
| Epoch Capabilities Index | 162.67 | — |
| LiveBench | — | 44% |
Math Claude Opus 5 leads
Claude Opus 5: 86.1 (#6), Mistral Small: 15.4 (#287)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 5.8% |
| LMArena Math | 1533 | 1341 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| ProofBench | 99% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#8), Mistral Small: 30.9 (#214)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| GPQA Diamond | 93.9% | 47.5% |
| LMArena Expert | 1558 | 1293 |
| SimpleQA Verified | 59.9% | — |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal Claude Opus 5 leads
Claude Opus 5: 51.1 (#6), Mistral Small: 32.9 (#91)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| LMArena Vision | 1321 | 1142 |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |
Multilingual Claude Opus 5 leads
Claude Opus 5: 58.8 (#3), Mistral Small: 45.7 (#164)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| LMArena Non-English | 1500 | 1315 |
| LMArena Chinese | 1575 | 1342 |
| LMArena French | 1522 | 1337 |
| LMArena German | 1522 | 1341 |
| LMArena Japanese | 1510 | 1275 |
| LMArena Korean | 1526 | 1260 |
| LMArena Russian | 1507 | 1324 |
| LMArena Spanish | 1519 | 1346 |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.3 (#5), Mistral Small: 66.6 (#204)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1516 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Claude Opus 5 leads
Claude Opus 5: 46.5 (#20), Mistral Small: 40.4 (#151)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1516 | 1327 |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.3 (#2), Mistral Small: 52.6 (#165)
| Benchmark | Claude Opus 5 | Mistral Small |
|---|---|---|
| LMArena Text | 1506 | 1338 |
| LMArena Creative Writing | 1491 | 1304 |
| LMArena Multi-Turn | 1496 | 1344 |
| EQ-Bench Creative Writing | 2133 | — |
| EQ-Bench 4 | 1385 | — |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Claude Opus 5 better than Mistral Small?
Claude Opus 5 is the stronger model overall, scoring 67.7 to 33.1 on the Noometry Index. Mistral Small costs 38× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5 or Mistral Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Opus 5 lists at $5 and $25.
Is Claude Opus 5 or Mistral Small better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.0 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 5 does, with 1M tokens against 256K.
How many benchmarks do Claude Opus 5 and Mistral Small share?
25 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Mistral Small has 39.