Model comparison
DeepSeek-V3.2-Speciale vs Devstral Small 2505
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 34.3 on the Noometry Index. Devstral Small 2505 costs 5.7× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
DeepSeek
Mistral AISummary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 19.7.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
Side by side
| DeepSeek-V3.2-Speciale | Devstral Small 2505 | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 39.7 | 34.3 |
| Released | 2025-12-01 | 2025-05-07 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.58 | $0.10 |
| Output $ / M tokens | $1.68 | $0.30 |
| Results tracked | 3 | 4 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Devstral Small 2505: 38.9 (#166)
| Benchmark | DeepSeek-V3.2-Speciale | Devstral Small 2505 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 56.4% |
| SciCode | — | 28.8% |
| WeirdML | 46.7% | — |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Devstral Small 2505: 19.7 (#252)
| Benchmark | DeepSeek-V3.2-Speciale | Devstral Small 2505 |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 37.7% |
| CritPt | — | 0% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.0 (#222), Devstral Small 2505: —
| Benchmark | DeepSeek-V3.2-Speciale | Devstral Small 2505 |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Devstral Small 2505?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 34.3 on the Noometry Index. Devstral Small 2505 costs 5.7× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.
Which is cheaper, DeepSeek-V3.2-Speciale or Devstral Small 2505?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.
Is DeepSeek-V3.2-Speciale or Devstral Small 2505 better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do DeepSeek-V3.2-Speciale and Devstral Small 2505 share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Devstral Small 2505 has 4.