Model comparison
MiMo-V2-Pro vs o3-pro
MiMo-V2-Pro and o3-pro score almost the same on the Noometry Index (43.0 vs 42.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in long context, where o3-pro leads 72.2 to 41.5.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $20 / $80 for o3-pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 200K.
Side by side
| MiMo-V2-Pro | o3-pro | |
|---|---|---|
| Provider | Xiaomi | OpenAI |
| Noometry Index | 43.0 | 42.9 |
| Released | 2026-03-18 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.43 | $20 |
| Output $ / M tokens | $0.87 | $80 |
| Results tracked | 23 | 12 |
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Category by category
Coding o3-pro leads
MiMo-V2-Pro: 43.8 (#83), o3-pro: 55.5 (#24)
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1433 | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Reasoning o3-pro leads
MiMo-V2-Pro: 22.1 (#206), o3-pro: 23.8 (#171)
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 25.8% | — |
| ARC-AGI-1 | — | 59.3% |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| Epoch Capabilities Index | — | 147.42 |
Math Not comparable
MiMo-V2-Pro: 39.5 (#102), o3-pro: —
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| LMArena Math | 1447 | — |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 41.4 (#111), o3-pro: 29.5 (#238)
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1478 | — |
Multilingual Not comparable
MiMo-V2-Pro: 52.7 (#81), o3-pro: —
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| LMArena Non-English | 1416 | — |
| LMArena Chinese | 1456 | — |
| LMArena French | 1469 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1400 | — |
| LMArena Russian | 1427 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
MiMo-V2-Pro: 76.0 (#49), o3-pro: —
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1445 | — |
Long Context o3-pro leads
MiMo-V2-Pro: 41.5 (#138), o3-pro: 72.2 (#1)
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.8 (#70), o3-pro: 57.1 (#133)
| Benchmark | MiMo-V2-Pro | o3-pro |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than o3-pro?
MiMo-V2-Pro and o3-pro score almost the same on the Noometry Index (43.0 vs 42.9), so choose on price, context window or the category you care about most.
Which is cheaper, MiMo-V2-Pro or o3-pro?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; o3-pro lists at $20 and $80.
Is MiMo-V2-Pro or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 43.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 200K.
How many benchmarks do MiMo-V2-Pro and o3-pro share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and o3-pro has 12.