Model comparison
DeepSeek-V3.2-Speciale vs Qwen3-Coder 480B-A35B Instruct
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 38.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.3 to 46.0.
- The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 128K.
Side by side
| DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 38.1 |
| Released | 2025-12-01 | 2025-04 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.58 | $1.50 |
| Output $ / M tokens | $1.68 | $7.50 |
| Results tracked | 3 | 25 |
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Category by category
Coding DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 40.4 (#140), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 46.7% | 41.2% |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| LMArena Coding | — | 1412 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning DeepSeek-V3.2-Speciale leads
DeepSeek-V3.2-Speciale: 32.9 (#73), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 49.5% |
| LMArena Hard Prompts | — | 1372 |
Math Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | — | 1365 |
Knowledge Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | — | 1338 |
Multilingual Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1346 |
| LMArena Chinese | — | 1357 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Russian | — | 1366 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1355 |
Long Context Not comparable
DeepSeek-V3.2-Speciale: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
DeepSeek-V3.2-Speciale: 46.0 (#222), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1357 |
| LMArena Creative Writing | — | 1333 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is DeepSeek-V3.2-Speciale better than Qwen3-Coder 480B-A35B Instruct?
DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 38.1 on the Noometry Index.
Which is cheaper, DeepSeek-V3.2-Speciale or Qwen3-Coder 480B-A35B Instruct?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is DeepSeek-V3.2-Speciale or Qwen3-Coder 480B-A35B Instruct better for coding?
DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 128K.
How many benchmarks do DeepSeek-V3.2-Speciale and Qwen3-Coder 480B-A35B Instruct share?
1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.