# DeepSeek-V2 (MoE-236B, May 2024) vs Qwen2.5 7B Instruct

> Qwen2.5 7B Instruct has enough public results to be ranked (#314); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen2.5 7B Instruct 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 35.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 46.1% for Qwen2.5 7B Instruct.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 28.6 |
| Rank | — | 314 |
| Context | — | 131K |
| Input $/M | — | $0.17 |
| Output $/M | — | $0.70 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 37.6% |
| BigCodeBench Complete | 59.4% | 46.1% |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 118.44 |
| Chess Puzzles | — | 0% |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU | 78.4% | 72.9% |
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct has enough public results to be ranked (#314); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen2.5 7B Instruct better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 35.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen2.5 7B Instruct share?

4 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen2.5 7B Instruct has 15.