Model comparison
Mistral Medium vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 36.3 on the Noometry Index. Mistral Medium costs 12× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Mistral AISummary
- They share 6 benchmarks with published results for both. Mistral Medium scores higher in 2 categories and o3-pro in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 42.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 50% for Mistral Medium and 72.1% for o3-pro.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $20 / $80 for o3-pro.
- Mistral Medium accepts more context: 262K tokens versus 200K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium | o3-pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 36.3 | 42.9 |
| Released | 2023-12-11 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 262K | 100K |
| Input $ / M tokens | $1.50 | $20 |
| Output $ / M tokens | $7.50 | $80 |
| Results tracked | 36 | 12 |
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Category by category
Coding o3-pro leads
Mistral Medium: 34.2 (#243), o3-pro: 55.5 (#24)
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| WeirdML | 43.7% | 58.2% |
| FrontierCode | 8% | — |
| Aider Polyglot | — | 84.9% |
| SciCode | 40.2% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), o3-pro: —
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Too close to call
Mistral Medium: 24.0 (#167), o3-pro: 23.8 (#171)
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| Kagi LLM Benchmark | 50% | 72.1% |
| DTBench | 75.5% | 86.9% |
| LMCA | 26.1% | 38.5% |
| ARC-AGI-2 | — | 4.9% |
| ARC-AGI-1 | — | 59.3% |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1426 | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
Mistral Medium: 28.1 (#245), o3-pro: —
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| LMArena Math | 1408 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge o3-pro leads
Mistral Medium: 25.0 (#265), o3-pro: 29.5 (#238)
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 22.7% | 23.3% |
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Confabulations | — | 14.2% |
| LMArena Expert | 1408 | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), o3-pro: —
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.1 (#91), o3-pro: —
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
Mistral Medium: 73.7 (#116), o3-pro: —
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context o3-pro leads
Mistral Medium: 42.9 (#114), o3-pro: 72.2 (#1)
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1406 | — |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), o3-pro: 57.1 (#133)
| Benchmark | Mistral Medium | o3-pro |
|---|---|---|
| Short-Story Creative Writing | 77.3% | 84.4% |
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 36.3 on the Noometry Index. Mistral Medium costs 12× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, Mistral Medium or o3-pro?
Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; o3-pro lists at $20 and $80.
Is Mistral Medium or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 200K.
How many benchmarks do Mistral Medium and o3-pro share?
6 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and o3-pro has 12.