# DeepSeek-V3.2-Speciale vs Qwen3 32B

> DeepSeek-V3.2-Speciale and Qwen3 32B score almost the same on the Noometry Index (39.7 vs 39.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-2-speciale-vs-qwen3-32b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 20.2.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- Qwen3 32B accepts more context: 131K tokens versus 128K.

## Snapshot

| | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 39.2 |
| Rank | 162 | 172 |
| Context | 128K | 131K |
| Input $/M | $0.58 | $0.70 |
| Output $/M | $1.68 | $2.80 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3.2-Speciale: 40.4 (#140)
- Qwen3 32B: 37.7 (#190)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| Aider Polyglot | — | 40% |
| SciCode | — | 35.4% |
| WeirdML | 46.7% | — |
| LMArena Coding | — | 1358 |

## Agentic & Tool Use

- DeepSeek-V3.2-Speciale: —
- Qwen3 32B: 32.6 (#62)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |

## Reasoning

- DeepSeek-V3.2-Speciale: 32.9 (#73)
- Qwen3 32B: 20.2 (#241)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| SimpleBench | 52.6% | — |
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 5% |
| LMArena Hard Prompts | — | 1334 |
| DTBench | — | 67.5% |
| LMCA | — | 17.3% |
| Epoch Capabilities Index | — | 138.51 |

## Math

- DeepSeek-V3.2-Speciale: —
- Qwen3 32B: 39.7 (#99)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.9% |
| LMArena Math | — | 1399 |

## Knowledge

- DeepSeek-V3.2-Speciale: —
- Qwen3 32B: 40.0 (#125)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| GPQA Diamond | — | 65.7% |
| Vectara Hallucination Rate | — | 5.9% |
| LMArena Expert | — | 1362 |

## Multilingual

- DeepSeek-V3.2-Speciale: —
- Qwen3 32B: 45.6 (#167)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| LMArena Non-English | — | 1317 |
| LMArena Chinese | — | 1357 |
| LMArena German | — | 1341 |
| LMArena Russian | — | 1311 |

## Instruction Following

- DeepSeek-V3.2-Speciale: —
- Qwen3 32B: 68.9 (#179)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | — | 1305 |

## Long Context

- DeepSeek-V3.2-Speciale: —
- Qwen3 32B: 43.8 (#87)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | — | 74.2% |
| LMArena Longer Query | — | 1327 |

## Writing & Preference

- DeepSeek-V3.2-Speciale: 46.0 (#222)
- Qwen3 32B: 52.9 (#163)

| Benchmark | DeepSeek-V3.2-Speciale | Qwen3 32B |
|---|---|---|
| LMArena Text | — | 1340 |
| LMArena Creative Writing | — | 1297 |
| EQ-Bench Creative Writing | 1276 | — |
| LMArena Multi-Turn | — | 1331 |

## FAQ

### Is DeepSeek-V3.2-Speciale better than Qwen3 32B?

DeepSeek-V3.2-Speciale and Qwen3 32B score almost the same on the Noometry Index (39.7 vs 39.2), so choose on price, context window or the category you care about most.

### Which is cheaper, DeepSeek-V3.2-Speciale or Qwen3 32B?

DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

### Is DeepSeek-V3.2-Speciale or Qwen3 32B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

Qwen3 32B does, with 131K tokens against 128K.

### How many benchmarks do DeepSeek-V3.2-Speciale and Qwen3 32B share?

0 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Qwen3 32B has 26.