# DeepSeek LLM 67B vs Qwen2.5-Coder (1.5B)

> DeepSeek LLM 67B has enough public results to be ranked (#347); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-qwen2-5-coder
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both.

## Snapshot

| | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 24.9 | — |
| Rank | 347 | — |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.9 (#278)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Coding | 1096 | — |

## Reasoning

- DeepSeek LLM 67B: 16.5 (#304)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 110.5 | 113.14 |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1070 | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |

## Math

- DeepSeek LLM 67B: 8.7 (#324)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| LMArena Math | 1108 | — |
| MATH Level 5 | 6.4% | — |
| GSM8K | — | 86.7% |

## Knowledge

- DeepSeek LLM 67B: 7.0 (#313)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |

## Multilingual

- DeepSeek LLM 67B: 29.4 (#267)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1073 | — |
| LMArena Chinese | 1132 | — |

## Instruction Following

- DeepSeek LLM 67B: 55.4 (#277)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1079 | — |

## Long Context

- DeepSeek LLM 67B: 33.1 (#265)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1092 | — |

## Writing & Preference

- DeepSeek LLM 67B: 31.6 (#282)
- Qwen2.5-Coder (1.5B): —

| Benchmark | DeepSeek LLM 67B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1105 | — |
| LMArena Creative Writing | 1067 | — |
| LMArena Multi-Turn | 1082 | — |

## FAQ

### Is DeepSeek LLM 67B better than Qwen2.5-Coder (1.5B)?

DeepSeek LLM 67B has enough public results to be ranked (#347); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

### How many benchmarks do DeepSeek LLM 67B and Qwen2.5-Coder (1.5B) share?

1 benchmark has published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.