Model comparison
MiniMax-M2.7 vs o3-pro
o3-pro is the stronger model overall, scoring 42.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 67× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
MiniMaxSummary
- They share 3 benchmarks with published results for both. MiniMax-M2.7 scores higher in 2 categories and o3-pro in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 43.3.
- The biggest single-benchmark swing is WeirdML: 37% for MiniMax-M2.7 and 58.2% for o3-pro.
- MiniMax-M2.7 is cheaper at $0.30 / $1.20 per million input/output tokens, against $20 / $80 for o3-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 | o3-pro | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Noometry Index | 37.7 | 42.9 |
| Released | 2026-03-18 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | 205K | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.30 | $20 |
| Output $ / M tokens | $1.20 | $80 |
| Results tracked | 30 | 12 |
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Category by category
Coding o3-pro leads
MiniMax-M2.7: 41.8 (#120), o3-pro: 55.5 (#24)
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| WeirdML | 37% | 58.2% |
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1398 | — |
| SciCode | 47% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 599.25 | — |
Agentic & Tool Use Not comparable
MiniMax-M2.7: 25.1 (#111), o3-pro: —
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| Terminal-Bench | 45.1% | — |
| ExploitBench | 13.3% | — |
| GBAEval | 0% | — |
Reasoning o3-pro leads
MiniMax-M2.7: 19.7 (#253), o3-pro: 23.8 (#171)
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| Epoch Capabilities Index | 145.85 | 147.42 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 24.7% | — |
| ARC-AGI-1 | — | 59.3% |
| CritPt | 0.6% | — |
| Thematic Generalization | 39.3% | — |
| LMArena Hard Prompts | 1422 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
Math Not comparable
MiniMax-M2.7: 25.9 (#263), o3-pro: —
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | 1420 | — |
Knowledge MiniMax-M2.7 leads
MiniMax-M2.7: 37.7 (#152), o3-pro: 29.5 (#238)
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 12.9% | 23.3% |
| Confabulations | — | 14.2% |
| LMArena Expert | 1444 | — |
Multilingual Not comparable
MiniMax-M2.7: 50.3 (#123), o3-pro: —
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1441 | — |
| LMArena French | 1421 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1262 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1383 | — |
| LMArena Spanish | 1403 | — |
Instruction Following Not comparable
MiniMax-M2.7: 74.1 (#103), o3-pro: —
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context o3-pro leads
MiniMax-M2.7: 43.3 (#99), o3-pro: 72.2 (#1)
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1419 | — |
Writing & Preference MiniMax-M2.7 leads
MiniMax-M2.7: 58.9 (#112), o3-pro: 57.1 (#133)
| Benchmark | MiniMax-M2.7 | o3-pro |
|---|---|---|
| LMArena Text | 1405 | — |
| LMArena Creative Writing | 1354 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is MiniMax-M2.7 better than o3-pro?
o3-pro is the stronger model overall, scoring 42.9 to 37.7 on the Noometry Index. MiniMax-M2.7 costs 67× less per token, which makes it the better buy when o3-pro's lead doesn't matter for your workload.
Which is cheaper, MiniMax-M2.7 or o3-pro?
MiniMax-M2.7 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; o3-pro lists at $20 and $80.
Is MiniMax-M2.7 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.7 does, with 205K tokens against 200K.
How many benchmarks do MiniMax-M2.7 and o3-pro share?
3 benchmarks have published results for both models. MiniMax-M2.7 has 30 scored results on Noometry and o3-pro has 12.