# Deepseek Coder v2 vs Llama 13b

> Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Deepseek Coder v2 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Deepseek Coder v2 leads 61.7 to 36.7.

## Snapshot

| | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.9 | 24.4 |
| Rank | 220 | 348 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 38.1 (#183)
- Llama 13b: 21.4 (#337)

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Coding | 1251 | 683 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 23.6 (#176)
- Llama 13b: 14.0 (#329)

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1207 | 728 |
| WinoGrande | 83.7% | 73% |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.58 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |

## Math

- Deepseek Coder v2: 34.9 (#190)
- Llama 13b: 26.7 (#256)

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Math | 1241 | 838 |
| GSM8K | 94.5% | 20.6% |

## Knowledge

- Deepseek Coder v2: 32.3 (#212)
- Llama 13b: —

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| ARC (AI2) Challenge | 64.3% | 52.7% |
| LMArena Expert | 1181 | — |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Deepseek Coder v2: —
- Llama 13b: —

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |

## Multilingual

- Deepseek Coder v2: 36.3 (#240)
- Llama 13b: 16.6 (#297)

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1182 | 819 |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |

## Instruction Following

- Deepseek Coder v2: 61.7 (#242)
- Llama 13b: 36.7 (#305)

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1180 | 781 |

## Long Context

- Deepseek Coder v2: 37.0 (#224)
- Llama 13b: —

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1219 | — |

## Writing & Preference

- Deepseek Coder v2: 38.2 (#253)
- Llama 13b: 13.8 (#312)

| Benchmark | Deepseek Coder v2 | Llama 13b |
|---|---|---|
| LMArena Text | 1191 | 834 |
| LMArena Creative Writing | 1120 | 794 |
| LMArena Multi-Turn | 1177 | 753 |

## FAQ

### Is Deepseek Coder v2 better than Llama 13b?

Deepseek Coder v2 is the stronger model overall, scoring 35.9 to 24.4 on the Noometry Index.

### Is Deepseek Coder v2 or Llama 13b better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 21.4 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Llama 13b share?

11 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Llama 13b has 21.