# DeepSeek-V3 vs Qwen3 32B

> DeepSeek-V3 and Qwen3 32B score almost the same on the Noometry Index (39.5 vs 39.2), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/deepseek-v3-vs-qwen3-32b
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. DeepSeek-V3 scores higher in 5 categories and Qwen3 32B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Qwen3 32B leads 43.8 to 34.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for DeepSeek-V3 and 66.9% for Qwen3 32B.
- DeepSeek-V3 is cheaper at $0.24 / $0.90 per million input/output tokens, against $0.70 / $2.80 for Qwen3 32B.
- DeepSeek-V3 accepts more context: 164K tokens versus 131K.

## Snapshot

| | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.5 | 39.2 |
| Rank | 166 | 172 |
| Context | 164K | 131K |
| Input $/M | $0.24 | $0.70 |
| Output $/M | $0.90 | $2.80 |
| Weights | Open | Open |

## Coding

- DeepSeek-V3: 42.3 (#106)
- Qwen3 32B: 37.7 (#190)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| Aider Polyglot | 55.1% | 40% |
| SciCode | 35.8% | 35.4% |
| LMArena Coding | 1368 | 1358 |
| WeirdML | 36.1% | — |
| BigCodeBench Instruct | 50% | — |
| LiveBench Coding | 70.9% | — |
| BigCodeBench Complete | 62.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73% | — |

## Agentic & Tool Use

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

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
| METR Time Horizons | 49.6% | — |

## Reasoning

- DeepSeek-V3: 20.5 (#236)
- Qwen3 32B: 20.2 (#241)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| Kagi LLM Benchmark | 52.3% | 54.9% |
| CritPt | 0% | 0.3% |
| LMArena Hard Prompts | 1365 | 1334 |
| DTBench | 64.8% | 67.5% |
| LMCA | 15.5% | 17.3% |
| Epoch Capabilities Index | 135.94 | 138.51 |
| SimpleBench | 27.2% | — |
| Chess Puzzles | — | 5% |
| LiveBench Reasoning | 65.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| BIG-Bench Hard | 87.5% | — |
| ForecastBench | 59.1 | — |
| HellaSwag | 88.9% | — |
| LiveBench | 66.9% | — |
| PIQA | 84.7% | — |
| WinoGrande | 85.2% | — |

## Math

- DeepSeek-V3: 32.1 (#219)
- Qwen3 32B: 39.7 (#99)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 66.9% |
| LMArena Math | 1373 | 1399 |
| Omni-MATH | 40.3% | — |
| LiveBench Math | 73.5% | — |
| MATH Level 5 | 75.5% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |

## Knowledge

- DeepSeek-V3: 37.5 (#155)
- Qwen3 32B: 40.0 (#125)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 67.6% | 65.7% |
| Vectara Hallucination Rate | 6.1% | 5.9% |
| LMArena Expert | 1351 | 1362 |
| MMLU-Pro | 72.3% | — |
| Confabulations | 26.1% | — |
| GPQA (HELM) | 53.8% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 87.2% | — |
| TriviaQA | 82.9% | — |

## Multilingual

- DeepSeek-V3: 48.5 (#143)
- Qwen3 32B: 45.6 (#167)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1358 | 1317 |
| LMArena Chinese | 1391 | 1357 |
| LMArena German | 1374 | 1341 |
| LMArena Russian | 1373 | 1311 |
| LMArena French | 1385 | — |
| LMArena Japanese | 1333 | — |
| LMArena Korean | 1319 | — |
| LMArena Spanish | 1358 | — |

## Instruction Following

- DeepSeek-V3: 72.8 (#130)
- Qwen3 32B: 68.9 (#179)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1345 | 1305 |
| LiveBench Instruction Following | 81.5% | — |
| IFEval | 83.2% | — |

## Long Context

- DeepSeek-V3: 34.0 (#253)
- Qwen3 32B: 43.8 (#87)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| Fiction.LiveBench | 50% | 74.2% |
| LMArena Longer Query | 1352 | 1327 |

## Writing & Preference

- DeepSeek-V3: 57.4 (#130)
- Qwen3 32B: 52.9 (#163)

| Benchmark | DeepSeek-V3 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1375 | 1340 |
| LMArena Creative Writing | 1364 | 1297 |
| LMArena Multi-Turn | 1389 | 1331 |
| Short-Story Creative Writing | 77% | — |
| EQ-Bench Creative Writing | 1472 | — |
| WildBench | 83% | — |
| LiveBench Language | 49.1% | — |

## FAQ

### Is DeepSeek-V3 better than Qwen3 32B?

DeepSeek-V3 and Qwen3 32B score almost the same on the Noometry Index (39.5 vs 39.2), so choose on price, context window or the category you care about most.

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

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; Qwen3 32B lists at $0.70 and $2.80.

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

DeepSeek-V3 scores higher on coding benchmarks: 42.3 versus 37.7 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3 does, with 164K tokens against 131K.

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

24 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Qwen3 32B has 26.