Model comparison
MiMo-V2.5-Pro vs Mistral
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Mistral 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 37.0.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2.5-Pro | Mistral | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 45.2 | 29.9 |
| Released | 2026-04-22 | — |
| Weights | Open | Proprietary |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 27 | 22 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.4 (#60), Mistral: 33.8 (#250)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Coding | 1503 | 1162 |
| LMArena WebDev | 1479 | — |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Mistral: 22.2 (#200)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1488 | 1149 |
| 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), Mistral: 22.3 (#278)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Math | 1481 | 1180 |
| ProofBench | 22% | — |
| Omni-MATH | — | 7.2% |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), Mistral: 16.6 (#288)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Expert | 1503 | 1125 |
| MMLU-Pro | — | 27.7% |
| GPQA (HELM) | — | 30.3% |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.1 (#34), Mistral: 32.8 (#254)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Non-English | 1449 | 1129 |
| LMArena Chinese | 1507 | 1109 |
| LMArena French | 1488 | 1180 |
| LMArena German | 1458 | 1155 |
| LMArena Japanese | 1412 | 1013 |
| LMArena Korean | 1437 | 1032 |
| LMArena Russian | 1450 | 1168 |
| LMArena Spanish | 1471 | 1143 |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.5 (#21), Mistral: 52.6 (#288)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Instruction Following | 1477 | 1152 |
| IFEval | — | 56.8% |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#37), Mistral: 35.0 (#245)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Longer Query | 1483 | 1153 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Mistral: 37.0 (#260)
| Benchmark | MiMo-V2.5-Pro | Mistral |
|---|---|---|
| LMArena Text | 1465 | 1165 |
| LMArena Creative Writing | 1440 | 1158 |
| LMArena Multi-Turn | 1477 | 1147 |
| EQ-Bench Creative Writing | 1493 | — |
| WildBench | — | 66% |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Mistral?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 29.9 on the Noometry Index.
Is MiMo-V2.5-Pro or Mistral better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 33.8 in the Noometry coding category.
How many benchmarks do MiMo-V2.5-Pro and Mistral share?
17 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral has 22.