Model comparison
MiMo-V2.5 vs Pixtral Large
MiMo-V2.5 is the stronger model overall, scoring 43.0 to 31.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. MiMo-V2.5 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-V2.5 leads 61.8 to 32.9.
- MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiMo-V2.5 accepts more context: 1.05M tokens versus 128K.
Side by side
| MiMo-V2.5 | Pixtral Large | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.0 | 31.7 |
| Released | 2026-04-22 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 1.05M | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.14 | $2 |
| Output $ / M tokens | $0.28 | $6 |
| Results tracked | 23 | 3 |
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Category by category
Coding Not comparable
MiMo-V2.5: 43.6 (#75), Pixtral Large: —
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1438 | — |
| SciCode | 43.1% | — |
| LMArena Coding | 1469 | — |
| ALE-Bench | 513.95 | — |
Reasoning MiMo-V2.5 leads
MiMo-V2.5: 27.8 (#98), Pixtral Large: 20.9 (#208)
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| CritPt | 3.7% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1450 | — |
Math Not comparable
MiMo-V2.5: 35.4 (#145), Pixtral Large: —
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| ProofBench | 16% | — |
| LMArena Math | 1436 | — |
Knowledge Not comparable
MiMo-V2.5: 40.2 (#109), Pixtral Large: —
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena Expert | 1459 | — |
Multimodal MiMo-V2.5 leads
MiMo-V2.5: 39.0 (#53), Pixtral Large: 30.0 (#105)
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena Vision | 1245 | 1089 |
Multilingual Not comparable
MiMo-V2.5: 52.0 (#96), Pixtral Large: —
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1467 | — |
| LMArena French | 1447 | — |
| LMArena German | 1421 | — |
| LMArena Japanese | 1304 | — |
| LMArena Korean | 1363 | — |
| LMArena Russian | 1395 | — |
| LMArena Spanish | 1412 | — |
Instruction Following Not comparable
MiMo-V2.5: 75.7 (#55), Pixtral Large: —
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1433 | — |
Long Context Not comparable
MiMo-V2.5: 44.1 (#69), Pixtral Large: —
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1444 | — |
Writing & Preference MiMo-V2.5 leads
MiMo-V2.5: 61.8 (#82), Pixtral Large: 32.9 (#273)
| Benchmark | MiMo-V2.5 | Pixtral Large |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1392 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2.5 better than Pixtral Large?
MiMo-V2.5 is the stronger model overall, scoring 43.0 to 31.7 on the Noometry Index.
Which is cheaper, MiMo-V2.5 or Pixtral Large?
MiMo-V2.5 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-V2.5 does, with 1.05M tokens against 128K.
How many benchmarks do MiMo-V2.5 and Pixtral Large share?
1 benchmark has published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Pixtral Large has 3.