Model comparison
MiMo-V2.5 vs Mistral Small 3.2
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where MiMo-V2.5 leads 61.6 to 45.0.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.5.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 256K.
Side by side
| MiMo-V2.5 | Mistral Small 3.2 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.4 | 31.2 |
| Released | 2026-04-22 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 1.05M | 256K |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.14 | $0.0938 |
| Output $ / M tokens | $0.28 | $0.25 |
| Results tracked | 23 | 6 |
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Category by category
Coding Not comparable
MiMo-V2.5: 43.9 (#81), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1438 | — |
| SciCode | 43.1% | — |
| LMArena Coding | 1469 | — |
| ALE-Bench | 513.95 | — |
Reasoning MiMo-V2.5 leads
MiMo-V2.5: 28.6 (#101), Mistral Small 3.2: 18.1 (#287)
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | 3.7% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1450 | — |
| Epoch Capabilities Index | — | 131.74 |
Math MiMo-V2.5 leads
MiMo-V2.5: 36.8 (#163), Mistral Small 3.2: 26.3 (#260)
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| ProofBench | 16% | — |
| LMArena Math | 1436 | — |
Knowledge MiMo-V2.5 leads
MiMo-V2.5: 40.8 (#115), Mistral Small 3.2: 26.7 (#256)
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1460 | — |
Multimodal Not comparable
MiMo-V2.5: 39.8 (#54), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Vision | 1247 | — |
Multilingual Not comparable
MiMo-V2.5: 51.9 (#99), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1447 | — |
| LMArena German | 1421 | — |
| LMArena Japanese | 1306 | — |
| LMArena Korean | 1363 | — |
| LMArena Russian | 1395 | — |
| LMArena Spanish | 1416 | — |
Instruction Following Not comparable
MiMo-V2.5: 75.5 (#60), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1434 | — |
Long Context Not comparable
MiMo-V2.5: 44.2 (#73), Mistral Small 3.2: —
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Longer Query | 1445 | — |
Writing & Preference MiMo-V2.5 leads
MiMo-V2.5: 61.6 (#86), Mistral Small 3.2: 45.0 (#224)
| Benchmark | MiMo-V2.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1428 | — |
| LMArena Creative Writing | 1393 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2.5 better than Mistral Small 3.2?
MiMo-V2.5 is the stronger model overall, scoring 43.4 to 31.2 on the Noometry Index.
Which is cheaper, MiMo-V2.5 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 lists at $0.14 and $0.28.
Which has the bigger context window?
MiMo-V2.5 does, with 1.05M tokens against 256K.
How many benchmarks do MiMo-V2.5 and Mistral Small 3.2 share?
0 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Mistral Small 3.2 has 6.