Model comparison
MiMo-V2.5-Pro vs o1-pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where MiMo-V2.5-Pro leads 42.2 to 29.7.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $150 / $600 for o1-pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 200K.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2.5-Pro | o1-pro | |
|---|---|---|
| Provider | Xiaomi | OpenAI |
| Noometry Index | 45.2 | 31.5 |
| Released | 2026-04-22 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.43 | $150 |
| Output $ / M tokens | $0.87 | $600 |
| Results tracked | 27 | 3 |
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Category by category
Coding Not comparable
MiMo-V2.5-Pro: 47.4 (#60), o1-pro: —
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| LMArena WebDev | 1479 | — |
| SciCode | 50.2% | — |
| LMArena Coding | 1503 | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), o1-pro: 20.4 (#239)
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| NYT Connections (extended) | 34.4% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 4% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1488 | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
Math Not comparable
MiMo-V2.5-Pro: 40.0 (#96), o1-pro: —
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| ProofBench | 22% | — |
| LMArena Math | 1481 | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), o1-pro: 29.7 (#234)
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| Humanity's Last Exam | — | 8.1% |
| LMArena Expert | 1503 | — |
Multilingual Not comparable
MiMo-V2.5-Pro: 55.1 (#34), o1-pro: —
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| LMArena Non-English | 1449 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1488 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1437 | — |
| LMArena Russian | 1450 | — |
| LMArena Spanish | 1471 | — |
Instruction Following Not comparable
MiMo-V2.5-Pro: 77.5 (#21), o1-pro: —
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
MiMo-V2.5-Pro: 45.4 (#37), o1-pro: —
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| LMArena Longer Query | 1483 | — |
Writing & Preference Not comparable
MiMo-V2.5-Pro: 65.3 (#49), o1-pro: —
| Benchmark | MiMo-V2.5-Pro | o1-pro |
|---|---|---|
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1440 | — |
| EQ-Bench Creative Writing | 1493 | — |
| EQ-Bench 4 | 1208 | — |
| LMArena Multi-Turn | 1477 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than o1-pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.5 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or o1-pro?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 200K.
How many benchmarks do MiMo-V2.5-Pro and o1-pro share?
0 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and o1-pro has 3.