Model comparison
DeepSeek-V3.2-Speciale vs Qwen2.5-Coder (1.5B)
DeepSeek-V3.2-Speciale has enough public results to be ranked (#159); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Side by side
| DeepSeek-V3.2-Speciale | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.1 | — |
| Released | 2025-12-01 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 6 |
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Category by category
Coding Not comparable
DeepSeek-V3.2-Speciale: 39.9 (#136), Qwen2.5-Coder (1.5B): —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder (1.5B) |
|---|---|---|
| WeirdML | 46.7% | — |
Reasoning Not comparable
DeepSeek-V3.2-Speciale: 32.1 (#65), Qwen2.5-Coder (1.5B): —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder (1.5B) |
|---|---|---|
| SimpleBench | 52.6% | — |
| Epoch Capabilities Index | — | 112.93 |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5-Coder (1.5B): —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GSM8K | — | 86.7% |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5-Coder (1.5B): —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder (1.5B) |
|---|---|---|
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Writing & Preference Not comparable
DeepSeek-V3.2-Speciale: 46.1 (#217), Qwen2.5-Coder (1.5B): —
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder (1.5B) |
|---|---|---|
| EQ-Bench Creative Writing | 1276 | — |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen2.5-Coder (1.5B)?
DeepSeek-V3.2-Speciale has enough public results to be ranked (#159); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen2.5-Coder (1.5B) share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.