Model comparison
Magistral Small vs o3-mini
o3-mini is the stronger model overall, scoring 36.7 to 30.2 on the Noometry Index. Magistral Small costs 2.6× less per token, which makes it the better buy when o3-mini's lead doesn't matter for your workload.
Last verified . 9 shared benchmarks.
Mistral AISummary
- They share 9 benchmarks with published results for both. Magistral Small scores higher in 0 categories and o3-mini in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where o3-mini leads 16.3 to 6.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 30% for Magistral Small and 76.9% for o3-mini.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- o3-mini accepts more context: 200K tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.
Side by side
| Magistral Small | o3-mini | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 30.2 | 36.7 |
| Released | 2025-06-10 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | 128K | 200K |
| Max output | 40K | 100K |
| Input $ / M tokens | $0.50 | $1.10 |
| Output $ / M tokens | $1.50 | $4.40 |
| Results tracked | 10 | 51 |
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Category by category
Coding o3-mini leads
Magistral Small: 38.4 (#176), o3-mini: 40.8 (#132)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| SciCode | 35.2% | 39.8% |
| Aider Polyglot | — | 60.4% |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| LMArena Coding | — | 1378 |
| CadEval | — | 54% |
Agentic & Tool Use Not comparable
Magistral Small: —, o3-mini: 29.6 (#84)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning o3-mini leads
Magistral Small: 6.8 (#350), o3-mini: 16.3 (#305)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| ARC-AGI-2 | 0% | 3% |
| ARC-AGI-1 | 5% | 34.5% |
| CritPt | 0.3% | 0.3% |
| Chess Puzzles | 3% | 17% |
| DTBench | 61.3% | 68.8% |
| Epoch Capabilities Index | 133.19 | 140.34 |
| SimpleBench | — | 22.8% |
| Kagi LLM Benchmark | 6.3% | — |
| LiveBench Reasoning | — | 89.6% |
| LMArena Hard Prompts | — | 1366 |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |
Math o3-mini leads
Magistral Small: 26.2 (#261), o3-mini: 28.1 (#244)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30% | 76.9% |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| LiveBench Math | — | 77.3% |
| LMArena Math | — | 1396 |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge o3-mini leads
Magistral Small: 30.9 (#223), o3-mini: 38.3 (#146)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| GPQA Diamond | 56.1% | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
| LMArena Expert | — | 1364 |
Multilingual Not comparable
Magistral Small: —, o3-mini: 45.7 (#164)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| LMArena Non-English | — | 1319 |
| LMArena Chinese | — | 1379 |
| LMArena French | — | 1334 |
| LMArena German | — | 1303 |
| LMArena Japanese | — | 1286 |
| LMArena Korean | — | 1314 |
| LMArena Russian | — | 1304 |
| LMArena Spanish | — | 1321 |
Instruction Following Not comparable
Magistral Small: —, o3-mini: 75.1 (#72)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| LiveBench Instruction Following | — | 84.4% |
| LMArena Instruction Following | — | 1337 |
Long Context Not comparable
Magistral Small: —, o3-mini: 33.8 (#256)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| Fiction.LiveBench | — | 50% |
| LMArena Longer Query | — | 1343 |
Writing & Preference Not comparable
Magistral Small: —, o3-mini: 50.3 (#182)
| Benchmark | Magistral Small | o3-mini |
|---|---|---|
| LMArena Text | — | 1337 |
| LMArena Creative Writing | — | 1286 |
| Short-Story Creative Writing | — | 61.7% |
| LMArena Multi-Turn | — | 1320 |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is Magistral Small better than o3-mini?
o3-mini is the stronger model overall, scoring 36.7 to 30.2 on the Noometry Index. Magistral Small costs 2.6× less per token, which makes it the better buy when o3-mini's lead doesn't matter for your workload.
Which is cheaper, Magistral Small or o3-mini?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is Magistral Small or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
o3-mini does, with 200K tokens against 128K.
How many benchmarks do Magistral Small and o3-mini share?
9 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and o3-mini has 51.