# DeepSeek-V3.2-Speciale vs Qwen3-Coder 480B-A35B Instruct

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 1

## 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 55.5 to 46.1.
- 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.

## Snapshot

| | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.1 | 37.7 |
| Rank | 159 | 186 |
| Context | 128K | 262K |
| Input $/M | $0.58 | $1.50 |
| Output $/M | $1.68 | $7.50 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| 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 | — | 1413 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- DeepSeek-V3.2-Speciale: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 49.5% |
| LMArena Hard Prompts | — | 1372 |

## Math

- DeepSeek-V3.2-Speciale: —
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | — | 1364 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | — | 1337 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1345 |
| LMArena Chinese | — | 1356 |
| LMArena French | — | 1394 |
| LMArena German | — | 1324 |
| LMArena Japanese | — | 1309 |
| LMArena Korean | — | 1307 |
| LMArena Russian | — | 1367 |
| LMArena Spanish | — | 1360 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1356 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1379 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1356 |
| LMArena Creative Writing | — | 1333 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1365 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Qwen3-Coder 480B-A35B Instruct?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 37.7 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: 39.9 versus 36.2 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.