Model comparison
MiMo-V2-Omni vs Pixtral Large
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. MiMo-V2-Omni scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.6 to 32.9.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Pixtral Large | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 42.9 | 31.7 |
| Released | 2026-03-18 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 262K | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.14 | $2 |
| Output $ / M tokens | $0.28 | $6 |
| Results tracked | 18 | 3 |
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Category by category
Coding Not comparable
MiMo-V2-Omni: 42.7 (#87), Pixtral Large: —
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Coding | 1467 | — |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 28.6 (#86), Pixtral Large: 20.9 (#208)
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1445 | — |
Math Not comparable
MiMo-V2-Omni: 36.4 (#112), Pixtral Large: —
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Math | 1432 | — |
Knowledge Not comparable
MiMo-V2-Omni: 39.9 (#114), Pixtral Large: —
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Expert | 1449 | — |
Multimodal MiMo-V2-Omni leads
MiMo-V2-Omni: 37.9 (#62), Pixtral Large: 30.0 (#105)
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Vision | 1228 | 1089 |
Multilingual Not comparable
MiMo-V2-Omni: 52.0 (#97), Pixtral Large: —
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1469 | — |
| LMArena French | 1448 | — |
| LMArena German | 1398 | — |
| LMArena Japanese | 1318 | — |
| LMArena Korean | 1355 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1432 | — |
Instruction Following Not comparable
MiMo-V2-Omni: 75.4 (#62), Pixtral Large: —
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#72), Pixtral Large: —
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.6 (#83), Pixtral Large: 32.9 (#273)
| Benchmark | MiMo-V2-Omni | Pixtral Large |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1393 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1446 | — |
Frequently asked questions
Is MiMo-V2-Omni better than Pixtral Large?
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 31.7 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Pixtral Large?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 128K.
How many benchmarks do MiMo-V2-Omni and Pixtral Large share?
1 benchmark has published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Pixtral Large has 3.