# DeepSeek-V2 (MoE-236B, May 2024) vs Qwen2.5-Coder (1.5B)

> Neither DeepSeek-V2 (MoE-236B, May 2024) nor Qwen2.5-Coder (1.5B) has enough public benchmark results to be ranked yet; the rows below show what has been published.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-qwen2-5-coder
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | — |
| Rank | — | — |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 113.14 |
| HellaSwag | 87.1% | 76.8% |
| WinoGrande | 86.3% | 72.9% |
| BIG-Bench Hard | 78.8% | — |
| PIQA | 83.9% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GSM8K | — | 86.7% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5-Coder (1.5B) |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | 60.9% |
| MMLU | 78.4% | 68% |
| TriviaQA | 80% | — |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen2.5-Coder (1.5B)?

Neither DeepSeek-V2 (MoE-236B, May 2024) nor Qwen2.5-Coder (1.5B) has enough public benchmark results to be ranked yet; the rows below show what has been published.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen2.5-Coder (1.5B) share?

5 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.