Model comparison
MiMo-V2-Omni vs o3-mini
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 36.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and o3-mini in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 16.3.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- MiMo-V2-Omni accepts more context: 262K tokens versus 200K.
Side by side
| MiMo-V2-Omni | o3-mini | |
|---|---|---|
| Provider | Xiaomi | OpenAI |
| Noometry Index | 43.6 | 36.7 |
| Released | 2026-03-18 | 2024-12-20 |
| Weights | Proprietary | Proprietary |
| Context window | 262K | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.14 | $1.10 |
| Output $ / M tokens | $0.28 | $4.40 |
| Results tracked | 18 | 51 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 43.3 (#89), o3-mini: 40.8 (#132)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Coding | 1466 | 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
MiMo-V2-Omni: —, o3-mini: 29.6 (#84)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), o3-mini: 16.3 (#305)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Hard Prompts | 1445 | 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 MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), o3-mini: 28.1 (#244)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Math | 1430 | 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 MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), o3-mini: 38.3 (#146)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Expert | 1449 | 1364 |
| GPQA Diamond | — | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), o3-mini: —
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual MiMo-V2-Omni leads
MiMo-V2-Omni: 51.8 (#102), o3-mini: 45.7 (#164)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Non-English | 1404 | 1319 |
| LMArena Chinese | 1465 | 1379 |
| LMArena French | 1447 | 1334 |
| LMArena German | 1399 | 1303 |
| LMArena Japanese | 1317 | 1286 |
| LMArena Korean | 1355 | 1314 |
| LMArena Russian | 1412 | 1304 |
| LMArena Spanish | 1434 | 1321 |
Instruction Following Too close to call
MiMo-V2-Omni: 75.2 (#66), o3-mini: 75.1 (#72)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1428 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
Long Context MiMo-V2-Omni leads
MiMo-V2-Omni: 44.1 (#76), o3-mini: 33.8 (#256)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Longer Query | 1442 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.4 (#87), o3-mini: 50.3 (#182)
| Benchmark | MiMo-V2-Omni | o3-mini |
|---|---|---|
| LMArena Text | 1423 | 1337 |
| LMArena Creative Writing | 1392 | 1286 |
| LMArena Multi-Turn | 1445 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is MiMo-V2-Omni better than o3-mini?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 36.7 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or o3-mini?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is MiMo-V2-Omni or o3-mini better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 200K.
How many benchmarks do MiMo-V2-Omni and o3-mini share?
17 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and o3-mini has 51.