Model comparison
MiniMax-M2.7 vs o1-pro
MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
MiniMaxSummary
- The widest gap is in knowledge, where MiniMax-M2.7 leads 37.1 to 29.3.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $150 / $600 for o1-pro.
- MiniMax-M2.7 accepts more context: 205K tokens versus 200K.
- MiniMax-M2.7 has downloadable open weights; the other is API-only.
Side by side
| MiniMax-M2.7 | o1-pro | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Noometry Index | 37.4 | 31.2 |
| Released | 2026-03-18 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 205K | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.30 | $150 |
| Output $ / M tokens | $1.20 | $600 |
| Results tracked | 30 | 3 |
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Category by category
Coding Not comparable
MiniMax-M2.7: 41.4 (#115), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| LMArena WebDev | 1397 | — |
| SciCode | 47% | — |
| WeirdML | 37% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 24.9 (#103), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning o1-pro leads
MiniMax-M2.7: 19.0 (#248), o1-pro: 20.2 (#223)
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| NYT Connections (extended) | 24.7% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 0.6% | — |
| EnigmaEval | — | 6.1% |
| Thematic Generalization | 39.3% | — |
| LMArena Hard Prompts | 1422 | — |
| Epoch Capabilities Index | 145.84 | — |
Math Not comparable
MiniMax-M2.7: 24.9 (#254), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | 1420 | — |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.1 (#151), o1-pro: 29.3 (#227)
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| Vectara Hallucination Rate | 12.9% | — |
| LMArena Expert | 1443 | — |
Multilingual Not comparable
MiniMax-M2.7: 50.5 (#120), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1439 | — |
| LMArena French | 1422 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1261 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1383 | — |
| LMArena Spanish | 1403 | — |
Instruction Following Not comparable
MiniMax-M2.7: 74.2 (#101), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
MiniMax-M2.7: 43.3 (#94), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| LMArena Longer Query | 1419 | — |
Writing & Preference Not comparable
MiniMax-M2.7: 59.1 (#107), o1-pro: —
| Benchmark | MiniMax-M2.7 | o1-pro |
|---|---|---|
| LMArena Text | 1404 | — |
| LMArena Creative Writing | 1354 | — |
| LMArena Multi-Turn | 1413 | — |
Frequently asked questions
Is MiniMax-M2.7 better than o1-pro?
MiniMax-M2.7 is the stronger model overall, scoring 37.4 to 31.2 on the Noometry Index.
Which is cheaper, MiniMax-M2.7 or o1-pro?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 200K.
How many benchmarks do MiniMax-M2.7 and o1-pro share?
0 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and o1-pro has 3.