Model comparison
MiMo-V2.5 vs Olmo 3.1 32b Think
MiMo-V2.5 is the stronger model overall, scoring 43.4 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 scores higher in 8 categories and Olmo 3.1 32b Think in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5 leads 61.6 to 46.2.
Side by side
| MiMo-V2.5 | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Xiaomi | Allen Institute for AI (Ai2) |
| Noometry Index | 43.4 | 37.9 |
| Released | 2026-04-22 | — |
| Weights | Open | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.14 | — |
| Output $ / M tokens | $0.28 | — |
| Results tracked | 23 | 15 |
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Category by category
Coding MiMo-V2.5 leads
MiMo-V2.5: 43.9 (#81), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1469 | 1291 |
| LMArena WebDev | 1438 | — |
| SciCode | 43.1% | — |
| ALE-Bench | 513.95 | — |
Reasoning MiMo-V2.5 leads
MiMo-V2.5: 28.6 (#101), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1450 | 1272 |
| CritPt | 3.7% | — |
Math Too close to call
MiMo-V2.5: 36.8 (#163), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1436 | 1305 |
| ProofBench | 16% | — |
Knowledge MiMo-V2.5 leads
MiMo-V2.5: 40.8 (#115), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1460 | 1295 |
Multimodal Not comparable
MiMo-V2.5: 39.8 (#54), Olmo 3.1 32b Think: —
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1247 | — |
Multilingual MiMo-V2.5 leads
MiMo-V2.5: 51.9 (#99), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1404 | 1209 |
| LMArena Chinese | 1468 | 1242 |
| LMArena French | 1447 | 1260 |
| LMArena German | 1421 | 1262 |
| LMArena Russian | 1395 | 1193 |
| LMArena Spanish | 1416 | 1289 |
| LMArena Japanese | 1306 | — |
| LMArena Korean | 1363 | — |
Instruction Following MiMo-V2.5 leads
MiMo-V2.5: 75.5 (#60), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1434 | 1247 |
Long Context MiMo-V2.5 leads
MiMo-V2.5: 44.2 (#73), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1445 | 1272 |
Writing & Preference MiMo-V2.5 leads
MiMo-V2.5: 61.6 (#86), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | MiMo-V2.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1428 | 1272 |
| LMArena Creative Writing | 1393 | 1226 |
| LMArena Multi-Turn | 1445 | 1252 |
Frequently asked questions
Is MiMo-V2.5 better than Olmo 3.1 32b Think?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 37.9 on the Noometry Index.
Is MiMo-V2.5 or Olmo 3.1 32b Think better for coding?
MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 37.7 in the Noometry coding category.
How many benchmarks do MiMo-V2.5 and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Olmo 3.1 32b Think has 15.