Model comparison
DeepSeek-V3.2-Speciale vs Pixtral Large
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 32.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeek
Mistral AISummary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Pixtral Large in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.2-Speciale leads 46.0 to 32.9.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $2 / $6 for Pixtral Large.
Side by side
| DeepSeek-V3.2-Speciale | Pixtral Large | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 32.2 |
| Released | 2025-12-01 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.58 | $2 |
| Output $ / M tokens | $1.68 | $6 |
| Results tracked | 3 | 3 |
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Category by category
Coding Not comparable
DeepSeek-V3.2-Speciale: 40.4 (#140), Pixtral Large: —
| Benchmark | DeepSeek-V3.2-Speciale | Pixtral Large |
|---|---|---|
| WeirdML | 46.7% | — |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Pixtral Large: 21.7 (#218)
| Benchmark | DeepSeek-V3.2-Speciale | Pixtral Large |
|---|---|---|
| SimpleBench | 52.6% | — |
| EnigmaEval | — | 0.8% |
Multimodal Not comparable
DeepSeek-V3.2-Speciale: —, Pixtral Large: 30.6 (#111)
| Benchmark | DeepSeek-V3.2-Speciale | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Writing & Preference DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Pixtral Large: 32.9 (#278)
| Benchmark | DeepSeek-V3.2-Speciale | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 988 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Pixtral Large?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 32.2 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Pixtral Large?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do DeepSeek-V3.2-Speciale and Pixtral Large share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Pixtral Large has 3.