# DeepSeek-V3.2-Speciale vs Qwen2.5-Coder-32B

> DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 32.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where DeepSeek-V3.2-Speciale leads 39.9 to 22.4.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale accepts more context: 128K tokens versus 33K.

## Snapshot

| | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.1 | 32.9 |
| Rank | 159 | 239 |
| Context | 128K | 33K |
| Input $/M | $0.58 | $0.66 |
| Output $/M | $1.68 | $1 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 39.9 (#136)
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| WeirdML | 46.7% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| LMArena Coding | — | 1276 |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.1 (#65)
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| SimpleBench | 52.6% | — |
| LiveBench Reasoning | — | 42.1% |
| LMArena Hard Prompts | — | 1251 |
| LiveBench Data Analysis | — | 49.9% |
| Epoch Capabilities Index | — | 119.41 |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- DeepSeek-V3.2-Speciale: —
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Math | — | 46.6% |
| LMArena Math | — | 1251 |
| GSM8K | — | 93% |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | — | 1205 |
| LMArena Chinese | — | 1222 |
| LMArena Russian | — | 1228 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | — | 58.7% |
| LMArena Instruction Following | — | 1223 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | — | 1251 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.1 (#217)
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | — | 1230 |
| LMArena Creative Writing | — | 1174 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1222 |
| LiveBench Language | — | 23.3% |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Qwen2.5-Coder-32B?

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.1 to 32.9 on the Noometry Index.

### Which is cheaper, DeepSeek-V3.2-Speciale or Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

### Is DeepSeek-V3.2-Speciale or Qwen2.5-Coder-32B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 39.9 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.2-Speciale does, with 128K tokens against 33K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Qwen2.5-Coder-32B share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen2.5-Coder-32B has 31.