Model comparison
MiMo-V2.5-Pro vs Olmo 3.1 32b Think
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 37.9 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-V2.5-Pro 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-V2.5-Pro leads 65.3 to 46.2.
Side by side
| MiMo-V2.5-Pro | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Xiaomi | Allen Institute for AI (Ai2) |
| Noometry Index | 45.2 | 37.9 |
| Released | 2026-04-22 | — |
| Weights | Open | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 27 | 15 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.4 (#60), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1503 | 1291 |
| LMArena WebDev | 1479 | — |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1488 | 1272 |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 40.0 (#96), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1481 | 1305 |
| ProofBench | 22% | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1503 | 1295 |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.1 (#34), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1449 | 1209 |
| LMArena Chinese | 1507 | 1242 |
| LMArena French | 1488 | 1260 |
| LMArena German | 1458 | 1262 |
| LMArena Russian | 1450 | 1193 |
| LMArena Spanish | 1471 | 1289 |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1437 | — |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.5 (#21), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1477 | 1247 |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#37), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1483 | 1272 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1465 | 1272 |
| LMArena Creative Writing | 1440 | 1226 |
| LMArena Multi-Turn | 1477 | 1252 |
| EQ-Bench Creative Writing | 1493 | — |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Olmo 3.1 32b Think?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 37.9 on the Noometry Index.
Is MiMo-V2.5-Pro or Olmo 3.1 32b Think better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 37.7 in the Noometry coding category.
How many benchmarks do MiMo-V2.5-Pro and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Olmo 3.1 32b Think has 15.