Model comparison
MiMo-V2.5-Pro vs Mistral Small 3.1
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Mistral Small 3.1 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.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| MiMo-V2.5-Pro | Mistral Small 3.1 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 45.2 | 31.7 |
| Released | 2026-04-22 | 2025-03-17 |
| Weights | Open | Open |
| Context window | 1.05M | 128K |
| Max output | 131K | 102K |
| Input $ / M tokens | $0.43 | $0.35 |
| Output $ / M tokens | $0.87 | $0.56 |
| Results tracked | 27 | 28 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.4 (#60), Mistral Small 3.1: 38.3 (#179)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1503 | 1309 |
| LMArena WebDev | 1479 | — |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Mistral Small 3.1: 19.7 (#254)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Hard Prompts | 1488 | 1278 |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| Chess Puzzles | — | 1% |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
| Epoch Capabilities Index | — | 127.48 |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 40.0 (#96), Mistral Small 3.1: 14.7 (#301)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Math | 1481 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 3.9% |
| ProofBench | 22% | — |
| Omni-MATH | — | 24.8% |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), Mistral Small 3.1: 22.6 (#271)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Expert | 1503 | 1257 |
| GPQA Diamond | — | 41.9% |
| MMLU-Pro | — | 61% |
| GPQA (HELM) | — | 39.2% |
Multimodal Not comparable
MiMo-V2.5-Pro: —, Mistral Small 3.1: 33.2 (#99)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.1 (#34), Mistral Small 3.1: 41.2 (#209)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1449 | 1255 |
| LMArena Chinese | 1507 | 1253 |
| LMArena French | 1488 | 1273 |
| LMArena German | 1458 | 1266 |
| LMArena Japanese | 1412 | 1208 |
| LMArena Korean | 1437 | 1206 |
| LMArena Russian | 1450 | 1263 |
| LMArena Spanish | 1471 | 1283 |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.5 (#21), Mistral Small 3.1: 63.6 (#230)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1264 |
| IFEval | — | 75% |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#37), Mistral Small 3.1: 39.5 (#178)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1483 | 1299 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Mistral Small 3.1: 37.0 (#259)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1465 | 1277 |
| LMArena Creative Writing | 1440 | 1253 |
| EQ-Bench Creative Writing | 1493 | 761 |
| LMArena Multi-Turn | 1477 | 1270 |
| WildBench | — | 78.8% |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Mistral Small 3.1?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.7 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or Mistral Small 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Is MiMo-V2.5-Pro or Mistral Small 3.1 better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 38.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 128K.
How many benchmarks do MiMo-V2.5-Pro and Mistral Small 3.1 share?
18 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral Small 3.1 has 28.