# DeepSeek-V2 (MoE-236B, May 2024) vs Qwen3 14B

> Qwen3 14B has enough public results to be ranked (#222); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-v2-vs-qwen3-14b
- Last updated: 2026-10-10
- 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 Qwen3 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 39.8 to 36.7.

## Snapshot

| | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 39.7 | 35.0 |
| Rank | — | 222 |
| Context | — | 131K |
| Input $/M | — | $0.35 |
| Output $/M | — | $1.40 |
| Weights | Open | Open |

## Coding

- DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141)
- Qwen3 14B: 36.7 (#191)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |

## Agentic & Tool Use

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen3 14B: 29.4 (#78)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen3 14B: 18.1 (#272)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| Epoch Capabilities Index | 124.78 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |

## Math

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen3 14B: 37.0 (#102)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |

## Knowledge

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen3 14B: 39.2 (#124)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |

## Long Context

- DeepSeek-V2 (MoE-236B, May 2024): —
- Qwen3 14B: 38.0 (#201)

| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |

## FAQ

### Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen3 14B?

Qwen3 14B has enough public results to be ranked (#222); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.

### Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen3 14B better for coding?

DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 39.8 versus 36.7 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen3 14B share?

1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen3 14B has 12.