# DeepSeek-V2 (MoE-236B, May 2024) vs Qwen1.5-14B

> Qwen1.5-14B has enough public results to be ranked (#253); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-qwen1-5-14b
- 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 Qwen1.5-14B 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 33.1.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 32.7 |
| Rank | — | 253 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139)
- Qwen1.5-14B: 33.1 (#263)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | — | 1138 |
| BigCodeBench Complete | 59.4% | — |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-14B: 21.4 (#223)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | — | 1113 |
| 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): —
- Qwen1.5-14B: 32.4 (#215)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| LMArena Math | — | 1125 |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-14B: 29.8 (#232)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| MMLU | 78.4% | 68.6% |
| LMArena Expert | — | 1094 |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |

## Multilingual

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-14B: 30.7 (#262)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | — | 1095 |
| LMArena Chinese | — | 1147 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1085 |

## Instruction Following

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-14B: 56.8 (#271)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | — | 1102 |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-14B: 33.7 (#257)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | — | 1113 |

## Writing & Preference

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen1.5-14B: 33.6 (#276)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen1.5-14B |
|---|---|---|
| LMArena Text | — | 1128 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1110 |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen1.5-14B?

Qwen1.5-14B has enough public results to be ranked (#253); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen1.5-14B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 33.1 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen1.5-14B share?

1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen1.5-14B has 17.