Model comparison
DeepSeek-V3.2-Speciale vs Mistral Medium 3.1
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 31.9 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 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 10.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- Mistral Medium 3.1 accepts more context: 131K tokens versus 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Mistral Medium 3.1 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 31.9 |
| Released | 2025-12-01 | — |
| Weights | Open | Proprietary |
| Context window | 128K | 131K |
| Max output | 128K | 105K |
| Input $ / M tokens | $0.58 | $0.40 |
| Output $ / M tokens | $1.68 | $2 |
| Results tracked | 3 | 3 |
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Category by category
Coding Not comparable
DeepSeek-V3.2-Speciale: 40.4 (#140), Mistral Medium 3.1: —
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.1 |
|---|---|---|
| WeirdML | 46.7% | — |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.1 |
|---|---|---|
| SimpleBench | 52.6% | — |
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
Writing & Preference Mistral Medium 3.1 leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | DeepSeek-V3.2-Speciale | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | 1476 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Mistral Medium 3.1?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 31.9 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Which has the bigger context window?
Mistral Medium 3.1 does, with 131K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Mistral Medium 3.1 share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Mistral Medium 3.1 has 3.