Model comparison
MiMo-V2-Flash vs Pixtral Large
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where MiMo-V2-Flash leads 59.7 to 32.9.
- MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiMo-V2-Flash accepts more context: 262K tokens versus 128K.
Side by side
| MiMo-V2-Flash | Pixtral Large | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 41.3 | 32.2 |
| Released | 2025-12-16 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.14 | $2 |
| Output $ / M tokens | $0.28 | $6 |
| Results tracked | 21 | 3 |
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Category by category
Coding Not comparable
MiMo-V2-Flash: 36.1 (#211), Pixtral Large: —
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1330 | — |
| SciCode | 25.9% | — |
| LMArena Coding | 1443 | — |
| ALE-Bench | 737.95 | — |
Reasoning MiMo-V2-Flash leads
MiMo-V2-Flash: 24.9 (#157), Pixtral Large: 21.7 (#218)
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| CritPt | 0% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1420 | — |
Math Not comparable
MiMo-V2-Flash: 38.3 (#139), Pixtral Large: —
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Math | 1396 | — |
Knowledge Not comparable
MiMo-V2-Flash: 39.7 (#131), Pixtral Large: —
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Expert | 1425 | — |
Multimodal Not comparable
MiMo-V2-Flash: —, Pixtral Large: 30.6 (#111)
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
MiMo-V2-Flash: 51.0 (#113), Pixtral Large: —
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1392 | — |
| LMArena Chinese | 1462 | — |
| LMArena French | 1429 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1325 | — |
| LMArena Korean | 1358 | — |
| LMArena Russian | 1387 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
MiMo-V2-Flash: 73.5 (#120), Pixtral Large: —
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1392 | — |
Long Context Not comparable
MiMo-V2-Flash: 43.0 (#110), Pixtral Large: —
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1409 | — |
Writing & Preference MiMo-V2-Flash leads
MiMo-V2-Flash: 59.7 (#106), Pixtral Large: 32.9 (#278)
| Benchmark | MiMo-V2-Flash | Pixtral Large |
|---|---|---|
| LMArena Text | 1411 | — |
| LMArena Creative Writing | 1375 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1404 | — |
Frequently asked questions
Is MiMo-V2-Flash better than Pixtral Large?
MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 32.2 on the Noometry Index.
Which is cheaper, MiMo-V2-Flash or Pixtral Large?
MiMo-V2-Flash 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-Flash does, with 262K tokens against 128K.
How many benchmarks do MiMo-V2-Flash and Pixtral Large share?
0 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Pixtral Large has 3.