Model comparison
DeepSeek-V3.2-Speciale vs Qwen2.5 Plus 1127
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 38.1 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 32.1 to 24.8.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.1 | 38.1 |
| Released | 2025-12-01 | — |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.58 | — |
| Output $ / M tokens | $1.68 | — |
| Results tracked | 3 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 39.9 (#136), Qwen2.5 Plus 1127: 37.9 (#171)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1314 |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.1 (#65), Qwen2.5 Plus 1127: 24.8 (#139)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| SimpleBench | 52.6% | — |
| LMArena Hard Prompts | — | 1299 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 Plus 1127: 33.5 (#175)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | — | 1298 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 Plus 1127: 34.9 (#179)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | — | 1289 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 Plus 1127: 42.1 (#196)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | — | 1265 |
| LMArena Chinese | — | 1314 |
| LMArena German | — | 1231 |
| LMArena Japanese | — | 1207 |
| LMArena Russian | — | 1271 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 Plus 1127: 67.4 (#194)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | — | 1275 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Qwen2.5 Plus 1127: 39.2 (#180)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | — | 1292 |
Writing & Preference Qwen2.5 Plus 1127 leads
DeepSeek-V3.2-Speciale: 46.1 (#217), Qwen2.5 Plus 1127: 49.5 (#186)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | — | 1299 |
| LMArena Creative Writing | — | 1262 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1299 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen2.5 Plus 1127?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 38.1 on the Noometry Index.
Is DeepSeek-V3.2-Speciale or Qwen2.5 Plus 1127 better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 37.9 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen2.5 Plus 1127 share?
0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen2.5 Plus 1127 has 14.