Model comparison
MiMo-V2.5-Pro vs Mistral Small 3.2
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 4.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. MiMo-V2.5-Pro scores higher in 4 categories and Mistral Small 3.2 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.5 to 45.1.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 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 256K.
Side by side
| MiMo-V2.5-Pro | Mistral Small 3.2 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 44.8 | 30.8 |
| Released | 2026-04-22 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 1.05M | 256K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.43 | $0.0938 |
| Output $ / M tokens | $0.87 | $0.25 |
| Results tracked | 27 | 6 |
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Category by category
Coding Not comparable
MiMo-V2.5-Pro: 47.0 (#58), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1477 | — |
| SciCode | 50.2% | — |
| LMArena Coding | 1502 | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 25.9 (#124), Mistral Small 3.2: 17.5 (#282)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1487 | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
| Epoch Capabilities Index | — | 131.73 |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 38.6 (#84), Mistral Small 3.2: 24.9 (#251)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| ProofBench | 22% | — |
| LMArena Math | 1480 | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 41.5 (#100), Mistral Small 3.2: 26.8 (#249)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1501 | — |
Multilingual Not comparable
MiMo-V2.5-Pro: 55.3 (#33), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1449 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1489 | — |
| LMArena German | 1455 | — |
| LMArena Japanese | 1418 | — |
| LMArena Korean | 1436 | — |
| LMArena Russian | 1450 | — |
| LMArena Spanish | 1470 | — |
Instruction Following Not comparable
MiMo-V2.5-Pro: 77.6 (#21), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
MiMo-V2.5-Pro: 45.4 (#38), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1482 | — |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.5 (#47), Mistral Small 3.2: 45.1 (#219)
| Benchmark | MiMo-V2.5-Pro | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | 1493 | 1255 |
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1440 | — |
| EQ-Bench 4 | 1208 | — |
| LMArena Multi-Turn | 1477 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Mistral Small 3.2?
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 4.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2.5-Pro or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 256K.
How many benchmarks do MiMo-V2.5-Pro and Mistral Small 3.2 share?
1 benchmark has published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral Small 3.2 has 6.