# DeepSeek-V2 (MoE-236B, May 2024) vs Qwen1.5-32B

> Qwen1.5-32B has enough public results to be ranked (#288); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-qwen1-5-32b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen1.5-32B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 39.8 to 31.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 42% for Qwen1.5-32B.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 30.0 |
| Rank | — | 288 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Qwen1.5-32B: 31.1 (#278)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 32.3% |
| BigCodeBench Complete | 59.4% | 42% |
| LMArena Coding | — | 1155 |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 20.9 (#210)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| LMArena Hard Prompts | — | 1131 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.78 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 30.5 (#207)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| LMArena Math | — | 1155 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 13.5 (#291)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| MMLU | 78.4% | 74.4% |
| GPQA Diamond | — | 30.7% |
| LMArena Expert | — | 1126 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 31.6 (#254)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| LMArena Non-English | — | 1106 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1100 |
| LMArena German | — | 1058 |
| LMArena Japanese | — | 1027 |
| LMArena Korean | — | 1007 |
| LMArena Russian | — | 1073 |
| LMArena Spanish | — | 1089 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 58.0 (#260)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| LMArena Instruction Following | — | 1116 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 34.7 (#241)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| LMArena Longer Query | — | 1146 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-32B: 34.4 (#266)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-32B |
|---|---|---|
| LMArena Text | — | 1137 |
| LMArena Creative Writing | — | 1083 |
| LMArena Multi-Turn | — | 1140 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen1.5-32B?

Qwen1.5-32B has enough public results to be ranked (#288); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen1.5-32B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 31.1 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen1.5-32B share?

3 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen1.5-32B has 21.