Model comparison
MiMo-V2-Pro vs Olmo 7b Instruct
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.3 on the Noometry Index.
Last verified . 10 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 10 benchmarks with published results for both. MiMo-V2-Pro scores higher in 6 categories and Olmo 7b Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 25.8.
- Olmo 7b Instruct has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Olmo 7b Instruct | |
|---|---|---|
| Provider | Xiaomi | Allen Institute for AI (Ai2) |
| Noometry Index | 43.0 | 30.3 |
| Released | 2026-03-18 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 23 | 10 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Olmo 7b Instruct: 29.6 (#303)
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1476 | 1016 |
| LMArena WebDev | 1433 | — |
| ALE-Bench | 785.17 | — |
Reasoning MiMo-V2-Pro leads
MiMo-V2-Pro: 22.1 (#206), Olmo 7b Instruct: 18.8 (#274)
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1457 | 993 |
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 39.5 (#102), Olmo 7b Instruct: 30.2 (#237)
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1447 | 1018 |
Knowledge Not comparable
MiMo-V2-Pro: 41.4 (#111), Olmo 7b Instruct: —
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Expert | 1478 | — |
Multilingual MiMo-V2-Pro leads
MiMo-V2-Pro: 52.7 (#81), Olmo 7b Instruct: 24.0 (#291)
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1416 | 977 |
| LMArena Chinese | 1456 | 1014 |
| LMArena Russian | 1427 | 947 |
| LMArena French | 1469 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1400 | — |
| LMArena Spanish | 1457 | — |
Instruction Following MiMo-V2-Pro leads
MiMo-V2-Pro: 76.0 (#49), Olmo 7b Instruct: 49.0 (#301)
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1445 | 978 |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#138), Olmo 7b Instruct: —
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.8 (#70), Olmo 7b Instruct: 25.8 (#303)
| Benchmark | MiMo-V2-Pro | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1436 | 1032 |
| LMArena Creative Writing | 1415 | 990 |
| LMArena Multi-Turn | 1456 | 1007 |
Frequently asked questions
Is MiMo-V2-Pro better than Olmo 7b Instruct?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.3 on the Noometry Index.
Is MiMo-V2-Pro or Olmo 7b Instruct better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 29.6 in the Noometry coding category.
How many benchmarks do MiMo-V2-Pro and Olmo 7b Instruct share?
10 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Olmo 7b Instruct has 10.