Model comparison
MiMo-V2.5-Pro vs Olmo 3.1 32b Instruct
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 38.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Olmo 3.1 32b Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.5 to 50.4.
Side by side
| MiMo-V2.5-Pro | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Xiaomi | Allen Institute for AI (Ai2) |
| Noometry Index | 44.8 | 38.8 |
| 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 | 16 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.0 (#58), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1502 | 1346 |
| LMArena WebDev | 1477 | — |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
Reasoning Too close to call
MiMo-V2.5-Pro: 25.9 (#124), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1487 | 1322 |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 38.6 (#84), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1480 | 1305 |
| ProofBench | 22% | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 41.5 (#100), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1501 | 1307 |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.3 (#33), Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1449 | 1275 |
| LMArena Chinese | 1507 | 1304 |
| LMArena French | 1489 | 1328 |
| LMArena German | 1455 | 1283 |
| LMArena Korean | 1436 | 1206 |
| LMArena Russian | 1450 | 1268 |
| LMArena Spanish | 1470 | 1337 |
| LMArena Japanese | 1418 | — |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.6 (#21), Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1477 | 1298 |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#38), Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1482 | 1312 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.5 (#47), Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | MiMo-V2.5-Pro | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1465 | 1311 |
| LMArena Creative Writing | 1440 | 1264 |
| LMArena Multi-Turn | 1477 | 1309 |
| EQ-Bench Creative Writing | 1493 | — |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Olmo 3.1 32b Instruct?
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 38.8 on the Noometry Index.
Is MiMo-V2.5-Pro or Olmo 3.1 32b Instruct better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 38.9 in the Noometry coding category.
How many benchmarks do MiMo-V2.5-Pro and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Olmo 3.1 32b Instruct has 16.