# DeepSeek-V2 (MoE-236B, May 2024) vs Qwen1.5-7B

> Qwen1.5-7B has enough public results to be ranked (#273); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-qwen1-5-7b
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen1.5-7B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 32.2.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 31.4 |
| Rank | — | 273 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Qwen1.5-7B: 32.2 (#276)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1107 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 20.4 (#240)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | — | 1065 |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 31.4 (#224)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Math | — | 1080 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 28.7 (#243)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| MMLU | 78.4% | 62.6% |
| LMArena Expert | — | 1055 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 28.5 (#271)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | — | 1058 |
| LMArena Chinese | — | 1141 |
| LMArena Russian | — | 1006 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 54.1 (#281)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | — | 1058 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 33.1 (#266)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | — | 1090 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-7B: 29.6 (#293)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-7B |
|---|---|---|
| LMArena Text | — | 1083 |
| LMArena Creative Writing | — | 1035 |
| LMArena Multi-Turn | — | 1062 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen1.5-7B?

Qwen1.5-7B has enough public results to be ranked (#273); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen1.5-7B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 32.2 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen1.5-7B share?

1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen1.5-7B has 13.