Model comparison
Magistral Small vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where MiMo-V2-Pro leads 22.1 to 6.8.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.
Side by side
| Magistral Small | MiMo-V2-Pro | |
|---|---|---|
| Provider | Mistral AI | Xiaomi |
| Noometry Index | 30.2 | 43.0 |
| Released | 2025-06-10 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 40K | 131K |
| Input $ / M tokens | $0.50 | $0.43 |
| Output $ / M tokens | $1.50 | $0.87 |
| Results tracked | 10 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Magistral Small: 38.4 (#176), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | — | 1433 |
| SciCode | 35.2% | — |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |
Reasoning MiMo-V2-Pro leads
Magistral Small: 6.8 (#350), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 6.3% | — |
| NYT Connections (extended) | — | 25.8% |
| ARC-AGI-1 | 5% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 3% | — |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
| DTBench | 61.3% | — |
| Epoch Capabilities Index | 133.19 | — |
Math MiMo-V2-Pro leads
Magistral Small: 26.2 (#261), MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30% | — |
| LMArena Math | — | 1447 |
Knowledge MiMo-V2-Pro leads
Magistral Small: 30.9 (#223), MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| GPQA Diamond | 56.1% | — |
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Magistral Small: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
Magistral Small: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
Magistral Small: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
Magistral Small: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Magistral Small | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Magistral Small better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.2 on the Noometry Index.
Which is cheaper, Magistral Small or MiMo-V2-Pro?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is Magistral Small or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do Magistral Small and MiMo-V2-Pro share?
0 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and MiMo-V2-Pro has 23.