# DeepSeek Coder 6.7B vs Llama 2-13B

> Llama 2-13B has enough public results to be ranked (#304); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/deepseek-coder-6-7b-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Llama 2-13B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek Coder 6.7B leads 35.2 to 30.4.

## Snapshot

| | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.1 | 29.1 |
| Rank | — | 304 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek Coder 6.7B: 35.2 (#216)
- Llama 2-13B: 30.4 (#287)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| BigCodeBench Instruct | 35.5% | — |
| LMArena Coding | — | 1062 |
| BigCodeBench Complete | 43.8% | — |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |

## Reasoning

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 12.3 (#333)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| Epoch Capabilities Index | 88.88 | 105.8 |
| WinoGrande | 57.6% | 72.8% |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1051 |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |

## Math

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 28.7 (#226)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| GSM8K | 21.3% | 36.9% |
| LMArena Math | — | 1065 |

## Knowledge

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 27.5 (#244)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| ARC (AI2) Challenge | 36.4% | 60.3% |
| MMLU | 36.4% | 55.6% |
| LMArena Expert | — | 1030 |
| BoolQ | — | 82.4% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- DeepSeek Coder 6.7B: —
- Llama 2-13B: —

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |

## Multilingual

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 26.7 (#274)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| LMArena Non-English | — | 1024 |
| LMArena Chinese | — | 1001 |
| LMArena French | — | 1043 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
| LMArena Russian | — | 1055 |
| LMArena Spanish | — | 1086 |

## Instruction Following

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 53.5 (#282)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | — | 1046 |

## Long Context

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 32.3 (#264)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | — | 1064 |

## Writing & Preference

- DeepSeek Coder 6.7B: —
- Llama 2-13B: 30.0 (#284)

| Benchmark | DeepSeek Coder 6.7B | Llama 2-13B |
|---|---|---|
| LMArena Text | — | 1085 |
| LMArena Creative Writing | — | 1047 |
| LMArena Multi-Turn | — | 1050 |

## FAQ

### Is DeepSeek Coder 6.7B better than Llama 2-13B?

Llama 2-13B has enough public results to be ranked (#304); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 6.7B or Llama 2-13B better for coding?

DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.2 versus 30.4 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 6.7B and Llama 2-13B share?

5 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Llama 2-13B has 32.