# DeepSeek LLM 67B vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 24.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-qwen3-14b
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Qwen3 14B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 66.4% for Qwen3 14B.

## Snapshot

| | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 24.9 | 35.5 |
| Rank | 347 | 225 |
| Context | — | 131K |
| Input $/M | — | $0.35 |
| Output $/M | — | $1.40 |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Qwen3 14B: 37.3 (#195)

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |
| LMArena Coding | 1096 | — |

## Agentic & Tool Use

- DeepSeek LLM 67B: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Qwen3 14B: 18.5 (#280)

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| Epoch Capabilities Index | 110.5 | 138.23 |
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1070 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Qwen3 14B: 38.6 (#133)

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 66.4% |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Qwen3 14B: 39.3 (#134)

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 24.6% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Qwen3 14B: —

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Qwen3 14B: —

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Qwen3 14B: 38.1 (#204)

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Qwen3 14B: —

| Benchmark | DeepSeek LLM 67B | Qwen3 14B |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 24.9 on the Noometry Index.

### Is DeepSeek LLM 67B or Qwen3 14B better for coding?

Qwen3 14B scores higher on coding benchmarks: 37.3 versus 31.9 in the Noometry coding category.

### How many benchmarks do DeepSeek LLM 67B and Qwen3 14B share?

4 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Qwen3 14B has 12.