Model comparison
MiMo-V2.6-Pro vs Pixtral Large
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. MiMo-V2.6-Pro 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-V2.6-Pro leads 66.8 to 32.9.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $6 for Pixtral Large.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| MiMo-V2.6-Pro | Pixtral Large | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 50.3 | 32.2 |
| Released | 2026-09-21 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 1.05M | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.43 | $2 |
| Output $ / M tokens | $0.87 | $6 |
| Results tracked | 19 | 3 |
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Category by category
Coding Not comparable
MiMo-V2.6-Pro: 55.5 (#23), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena WebDev | 1629 | — |
| SciCode | 60.9% | — |
| LMArena Coding | 1534 | — |
| ALE-Bench | 1,158 | — |
Agentic & Tool Use Not comparable
MiMo-V2.6-Pro: 37.5 (#35), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| APEX-Agents | 59.5% | — |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), Pixtral Large: 21.7 (#218)
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| CritPt | 26.6% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1512 | — |
Math Not comparable
MiMo-V2.6-Pro: 54.5 (#45), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| ProofBench | 70% | — |
| LMArena Math | 1494 | — |
Knowledge Not comparable
MiMo-V2.6-Pro: 43.5 (#92), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena Expert | 1543 | — |
Multimodal MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 40.8 (#43), Pixtral Large: 30.6 (#111)
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena Vision | 1264 | 1089 |
Multilingual Not comparable
MiMo-V2.6-Pro: 56.9 (#14), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1474 | — |
| LMArena Chinese | 1529 | — |
| LMArena Russian | 1480 | — |
Instruction Following Not comparable
MiMo-V2.6-Pro: 78.2 (#12), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1493 | — |
Long Context Not comparable
MiMo-V2.6-Pro: 46.0 (#27), Pixtral Large: —
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1501 | — |
Writing & Preference MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 66.8 (#33), Pixtral Large: 32.9 (#278)
| Benchmark | MiMo-V2.6-Pro | Pixtral Large |
|---|---|---|
| LMArena Text | 1492 | — |
| LMArena Creative Writing | 1468 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is MiMo-V2.6-Pro better than Pixtral Large?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 32.2 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Pro or Pixtral Large?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 128K.
How many benchmarks do MiMo-V2.6-Pro and Pixtral Large share?
1 benchmark has published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Pixtral Large has 3.