Model comparison
MiniMax M1 vs o3-mini
MiniMax M1 is the stronger model overall, scoring 40.3 to 36.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
MiniMaxSummary
- They share 18 benchmarks with published results for both. MiniMax M1 scores higher in 5 categories and o3-mini in 3 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiniMax M1 leads 26.9 to 16.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 69.4% for MiniMax M1 and 50% for o3-mini.
- MiniMax M1 is cheaper at $0.55 / $2.20 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- MiniMax M1 accepts more context: 1M tokens versus 200K.
- MiniMax M1 has downloadable open weights; the other is API-only.
Side by side
| MiniMax M1 | o3-mini | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Noometry Index | 40.3 | 36.7 |
| Released | 2025-06-13 | 2024-12-20 |
| Weights | Open | Proprietary |
| Context window | 1M | 200K |
| Max output | 40K | 100K |
| Input $ / M tokens | $0.55 | $1.10 |
| Output $ / M tokens | $2.20 | $4.40 |
| Results tracked | 18 | 51 |
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Category by category
Coding Too close to call
MiniMax M1: 39.9 (#153), o3-mini: 40.8 (#132)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Coding | 1359 | 1378 |
| Aider Polyglot | — | 60.4% |
| SciCode | — | 39.8% |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
Agentic & Tool Use Not comparable
MiniMax M1: —, o3-mini: 29.6 (#84)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning MiniMax M1 leads
MiniMax M1: 26.9 (#126), o3-mini: 16.3 (#305)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Hard Prompts | 1339 | 1366 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| ARC-AGI-1 | — | 34.5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| Epoch Capabilities Index | — | 140.34 |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |
Math MiniMax M1 leads
MiniMax M1: 37.5 (#151), o3-mini: 28.1 (#244)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Math | 1361 | 1396 |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 76.9% |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge o3-mini leads
MiniMax M1: 36.4 (#170), o3-mini: 38.3 (#146)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Expert | 1317 | 1364 |
| GPQA Diamond | — | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
Multilingual Too close to call
MiniMax M1: 45.8 (#163), o3-mini: 45.7 (#164)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Non-English | 1319 | 1319 |
| LMArena Chinese | 1360 | 1379 |
| LMArena French | 1370 | 1334 |
| LMArena German | 1350 | 1303 |
| LMArena Japanese | 1217 | 1286 |
| LMArena Korean | 1266 | 1314 |
| LMArena Russian | 1329 | 1304 |
| LMArena Spanish | 1353 | 1321 |
Instruction Following o3-mini leads
MiniMax M1: 69.3 (#174), o3-mini: 75.1 (#72)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1312 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context MiniMax M1 leads
MiniMax M1: 41.4 (#141), o3-mini: 33.8 (#256)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| Fiction.LiveBench | 69.4% | 50% |
| LMArena Longer Query | 1326 | 1343 |
Writing & Preference MiniMax M1 leads
MiniMax M1: 53.1 (#161), o3-mini: 50.3 (#182)
| Benchmark | MiniMax M1 | o3-mini |
|---|---|---|
| LMArena Text | 1343 | 1337 |
| LMArena Creative Writing | 1298 | 1286 |
| LMArena Multi-Turn | 1335 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is MiniMax M1 better than o3-mini?
MiniMax M1 is the stronger model overall, scoring 40.3 to 36.7 on the Noometry Index.
Which is cheaper, MiniMax M1 or o3-mini?
MiniMax M1 is cheaper. It lists at $0.55 per million input tokens and $2.20 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is MiniMax M1 or o3-mini better for coding?
They score almost the same on coding (39.9 vs 40.8); test both on your own repository before choosing.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 200K.
How many benchmarks do MiniMax M1 and o3-mini share?
18 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and o3-mini has 51.