Model comparison
Mistral Small vs o1-pro
Mistral Small is the stronger model overall, scoring 33.4 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $150 / $600 for o1-pro.
- Mistral Small accepts more context: 262K tokens versus 200K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Mistral Small | o1-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 33.4 | 31.5 |
| Released | 2024-02-26 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 256K | 100K |
| Input $ / M tokens | $0.15 | $150 |
| Output $ / M tokens | $0.60 | $600 |
| Results tracked | 39 | 3 |
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Category by category
Coding Not comparable
Mistral Small: 34.0 (#247), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
Agentic & Tool Use Not comparable
Mistral Small: 28.1 (#93), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |
Reasoning Too close to call
Mistral Small: 19.8 (#250), o1-pro: 20.4 (#239)
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 0% | — |
| EnigmaEval | — | 6.1% |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |
Math Not comparable
Mistral Small: 16.4 (#293), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | — |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |
Knowledge Mistral Small leads
Mistral Small: 31.0 (#222), o1-pro: 29.7 (#234)
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| GPQA Diamond | 47.5% | — |
| Humanity's Last Exam | — | 8.1% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |
Multimodal Not comparable
Mistral Small: 33.5 (#96), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Not comparable
Mistral Small: 45.5 (#169), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Mistral Small: 66.4 (#209), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |
Long Context Not comparable
Mistral Small: 40.4 (#156), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| LMArena Longer Query | 1327 | — |
Writing & Preference Not comparable
Mistral Small: 52.5 (#171), o1-pro: —
| Benchmark | Mistral Small | o1-pro |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than o1-pro?
Mistral Small is the stronger model overall, scoring 33.4 to 31.5 on the Noometry Index.
Which is cheaper, Mistral Small or o1-pro?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 200K.
How many benchmarks do Mistral Small and o1-pro share?
0 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and o1-pro has 3.