Model comparison
DeepSeek-V3.2-Speciale vs Qwen2.5 32B Instruct
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 30.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 19.2.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- Qwen2.5 32B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 30.1 |
| Released | 2025-12-01 | 2024-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $0.58 | $0.70 |
| Output $ / M tokens | $1.68 | $2.80 |
| Results tracked | 3 | 7 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 32B Instruct |
|---|---|---|
| WeirdML | 46.7% | — |
| BigCodeBench Instruct | — | 45% |
| BigCodeBench Complete | — | 52.3% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 32B Instruct |
|---|---|---|
| SimpleBench | 52.6% | — |
| Chess Puzzles | — | 0% |
| Epoch Capabilities Index | — | 128.52 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| MATH Level 5 | — | 56.1% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.0 (#222), Qwen2.5 32B Instruct: —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 32B Instruct |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen2.5 32B Instruct?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 30.1 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Qwen2.5 32B Instruct?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Is DeepSeek-V3.2-Speciale or Qwen2.5 32B Instruct better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 38.7 in the Noometry coding category.
Which has the bigger context window?
Qwen2.5 32B Instruct does, with 131K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen2.5 32B Instruct has 7.