Model comparison
Magistral Medium vs o1-mini
Magistral Medium is the stronger model overall, scoring 35.2 to 34.0 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Magistral Medium scores higher in 1 category and o1-mini in 7 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where o1-mini leads 43.6 to 39.6.
- The biggest single-benchmark swing is ARC-AGI-1: 6.1% for Magistral Medium and 14% for o1-mini.
- Magistral Medium has downloadable open weights; the other is API-only.
Side by side
| Magistral Medium | o1-mini | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 35.2 | 34.0 |
| Released | 2025-03-17 | 2024-09-12 |
| Weights | Open | Proprietary |
| Context window | 262K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 22 | 39 |
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Category by category
Coding Magistral Medium leads
Magistral Medium: 39.1 (#161), o1-mini: 35.5 (#224)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Coding | 1319 | 1362 |
| Aider Polyglot | — | 32.9% |
| SciCode | 39.2% | — |
| WeirdML | — | 36.3% |
| LiveBench Coding | — | 48% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use Not comparable
Magistral Medium: —, o1-mini: 24.6 (#118)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| Cybench | — | 10% |
Reasoning Too close to call
Magistral Medium: 8.6 (#348), o1-mini: 8.8 (#346)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| ARC-AGI-2 | 0% | 0.8% |
| ARC-AGI-1 | 6.1% | 14% |
| LMArena Hard Prompts | 1267 | 1333 |
| SimpleBench | — | 18.1% |
| Kagi LLM Benchmark | 16.2% | — |
| CritPt | 0.3% | — |
| LiveBench Reasoning | — | 72.3% |
| LiveBench Data Analysis | — | 57.9% |
| Epoch Capabilities Index | — | 135.82 |
| LiveBench | — | 57.8% |
Math Too close to call
Magistral Medium: 35.1 (#189), o1-mini: 35.4 (#186)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Math | 1250 | 1358 |
| OTIS Mock AIME 2024-2025 | — | 46.9% |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge o1-mini leads
Magistral Medium: 33.5 (#202), o1-mini: 34.9 (#192)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Expert | 1223 | 1316 |
| GPQA Diamond | — | 62.4% |
| Confabulations | — | 18.6% |
Multilingual o1-mini leads
Magistral Medium: 39.6 (#224), o1-mini: 43.6 (#182)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Non-English | 1232 | 1289 |
| LMArena Chinese | 1227 | 1314 |
| LMArena French | 1267 | 1293 |
| LMArena German | 1248 | 1278 |
| LMArena Japanese | 1175 | 1245 |
| LMArena Korean | 1125 | 1223 |
| LMArena Russian | 1224 | 1283 |
| LMArena Spanish | 1271 | 1303 |
Instruction Following Too close to call
Magistral Medium: 66.0 (#211), o1-mini: 66.7 (#206)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1254 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context Too close to call
Magistral Medium: 39.3 (#183), o1-mini: 40.1 (#161)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Longer Query | 1295 | 1320 |
Writing & Preference o1-mini leads
Magistral Medium: 46.3 (#219), o1-mini: 48.4 (#202)
| Benchmark | Magistral Medium | o1-mini |
|---|---|---|
| LMArena Text | 1255 | 1317 |
| LMArena Creative Writing | 1245 | 1244 |
| LMArena Multi-Turn | 1275 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is Magistral Medium better than o1-mini?
Magistral Medium is the stronger model overall, scoring 35.2 to 34.0 on the Noometry Index.
Is Magistral Medium or o1-mini better for coding?
Magistral Medium scores higher on coding benchmarks: 39.1 versus 35.5 in the Noometry coding category.
How many benchmarks do Magistral Medium and o1-mini share?
19 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and o1-mini has 39.