Model comparison
MiMo-V2-Omni vs Olmo 3.1 32b Think
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 37.3 on the Noometry Index.
Last verified . 15 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Olmo 3.1 32b Think in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 46.4.
- Olmo 3.1 32b Think has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Xiaomi | Allen Institute for AI (Ai2) |
| Noometry Index | 42.9 | 37.3 |
| Released | 2026-03-18 | — |
| Weights | Proprietary | Open |
| Context window | 262K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.28 | — |
| Results tracked | 18 | 15 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 42.7 (#87), Olmo 3.1 32b Think: 37.1 (#186)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1467 | 1292 |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 28.6 (#86), Olmo 3.1 32b Think: 24.1 (#151)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1272 |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 36.4 (#112), Olmo 3.1 32b Think: 33.6 (#170)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1432 | 1305 |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 39.9 (#114), Olmo 3.1 32b Think: 35.0 (#178)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1449 | 1294 |
Multimodal Not comparable
MiMo-V2-Omni: 37.9 (#62), Olmo 3.1 32b Think: —
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual MiMo-V2-Omni leads
MiMo-V2-Omni: 52.0 (#97), Olmo 3.1 32b Think: 38.3 (#226)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1404 | 1210 |
| LMArena Chinese | 1469 | 1241 |
| LMArena French | 1448 | 1262 |
| LMArena German | 1398 | 1260 |
| LMArena Russian | 1412 | 1193 |
| LMArena Spanish | 1432 | 1288 |
| LMArena Japanese | 1318 | — |
| LMArena Korean | 1355 | — |
Instruction Following MiMo-V2-Omni leads
MiMo-V2-Omni: 75.4 (#62), Olmo 3.1 32b Think: 65.8 (#213)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1428 | 1246 |
Long Context MiMo-V2-Omni leads
MiMo-V2-Omni: 44.1 (#72), Olmo 3.1 32b Think: 38.6 (#190)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1442 | 1272 |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.6 (#83), Olmo 3.1 32b Think: 46.4 (#215)
| Benchmark | MiMo-V2-Omni | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1424 | 1271 |
| LMArena Creative Writing | 1393 | 1226 |
| LMArena Multi-Turn | 1446 | 1252 |
Frequently asked questions
Is MiMo-V2-Omni better than Olmo 3.1 32b Think?
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 37.3 on the Noometry Index.
Is MiMo-V2-Omni or Olmo 3.1 32b Think better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 37.1 in the Noometry coding category.
How many benchmarks do MiMo-V2-Omni and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Olmo 3.1 32b Think has 15.