Model comparison
MiMo-V2-Pro vs Yi-1.5-34B
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. MiMo-V2-Pro scores higher in 7 categories and Yi-1.5-34B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2-Pro leads 41.4 to 14.8.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Yi-1.5-34B | |
|---|---|---|
| Provider | Xiaomi | 01.AI |
| Noometry Index | 43.0 | 30.6 |
| Released | 2026-03-18 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 23 | 21 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Yi-1.5-34B: 32.4 (#272)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1476 | 1169 |
| LMArena WebDev | 1433 | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 785.17 | — |
Reasoning Too close to call
MiMo-V2-Pro: 22.1 (#206), Yi-1.5-34B: 22.5 (#191)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1457 | 1160 |
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 39.5 (#102), Yi-1.5-34B: 27.5 (#249)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1447 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 41.4 (#111), Yi-1.5-34B: 14.8 (#295)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1478 | 1144 |
| GPQA Diamond | — | 32% |
Multilingual MiMo-V2-Pro leads
MiMo-V2-Pro: 52.7 (#81), Yi-1.5-34B: 32.3 (#256)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1416 | 1121 |
| LMArena Chinese | 1456 | 1213 |
| LMArena French | 1469 | 1156 |
| LMArena German | 1417 | 1111 |
| LMArena Japanese | 1366 | 1021 |
| LMArena Korean | 1400 | 1005 |
| LMArena Russian | 1427 | 1091 |
| LMArena Spanish | 1457 | 1121 |
Instruction Following MiMo-V2-Pro leads
MiMo-V2-Pro: 76.0 (#49), Yi-1.5-34B: 59.2 (#257)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1445 | 1139 |
Long Context MiMo-V2-Pro leads
MiMo-V2-Pro: 41.5 (#138), Yi-1.5-34B: 34.6 (#248)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1455 | 1143 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.8 (#70), Yi-1.5-34B: 37.4 (#257)
| Benchmark | MiMo-V2-Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1436 | 1173 |
| LMArena Creative Writing | 1415 | 1135 |
| LMArena Multi-Turn | 1456 | 1153 |
Frequently asked questions
Is MiMo-V2-Pro better than Yi-1.5-34B?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.
Is MiMo-V2-Pro or Yi-1.5-34B better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 32.4 in the Noometry coding category.
How many benchmarks do MiMo-V2-Pro and Yi-1.5-34B share?
17 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Yi-1.5-34B has 21.