Model comparison
Magistral Small vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 6.8.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.
Side by side
| Magistral Small | MiMo-V2-Omni | |
|---|---|---|
| Provider | Mistral AI | Xiaomi |
| Noometry Index | 30.2 | 43.6 |
| Released | 2025-06-10 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 262K |
| Max output | 40K | 131K |
| Input $ / M tokens | $0.50 | $0.14 |
| Output $ / M tokens | $1.50 | $0.28 |
| Results tracked | 10 | 18 |
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Category by category
Coding MiMo-V2-Omni leads
Magistral Small: 38.4 (#176), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| SciCode | 35.2% | — |
| LMArena Coding | — | 1466 |
Reasoning MiMo-V2-Omni leads
Magistral Small: 6.8 (#350), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 6.3% | — |
| ARC-AGI-1 | 5% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 3% | — |
| LMArena Hard Prompts | — | 1445 |
| DTBench | 61.3% | — |
| Epoch Capabilities Index | 133.19 | — |
Math MiMo-V2-Omni leads
Magistral Small: 26.2 (#261), MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30% | — |
| LMArena Math | — | 1430 |
Knowledge MiMo-V2-Omni leads
Magistral Small: 30.9 (#223), MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| GPQA Diamond | 56.1% | — |
| LMArena Expert | — | 1449 |
Multimodal Not comparable
Magistral Small: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual Not comparable
Magistral Small: —, MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1447 |
| LMArena German | — | 1399 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1434 |
Instruction Following Not comparable
Magistral Small: —, MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | — | 1428 |
Long Context Not comparable
Magistral Small: —, MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Not comparable
Magistral Small: —, MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Magistral Small | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | — | 1423 |
| LMArena Creative Writing | — | 1392 |
| LMArena Multi-Turn | — | 1445 |
Frequently asked questions
Is Magistral Small better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 30.2 on the Noometry Index.
Which is cheaper, Magistral Small or MiMo-V2-Omni?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is Magistral Small or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 128K.
How many benchmarks do Magistral Small and MiMo-V2-Omni share?
0 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and MiMo-V2-Omni has 18.