# DeepSeek LLM 67B vs Llama 2-13B

> Llama 2-13B is the stronger model overall, scoring 29.1 to 24.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-llm-67b-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 6 categories and Llama 2-13B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-13B leads 28.7 to 8.1.

## Snapshot

| | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 24.8 | 29.1 |
| Rank | 341 | 304 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek LLM 67B: 31.3 (#273)
- Llama 2-13B: 30.4 (#287)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1096 | 1062 |

## Reasoning

- DeepSeek LLM 67B: 15.9 (#300)
- Llama 2-13B: 12.3 (#333)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1070 | 1051 |
| Epoch Capabilities Index | 110.54 | 105.8 |
| DTBench | — | 42.2% |
| BIG-Bench Hard | — | 58.2% |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- DeepSeek LLM 67B: 8.1 (#318)
- Llama 2-13B: 28.7 (#226)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| LMArena Math | 1108 | 1065 |
| OTIS Mock AIME 2024-2025 | 0.8% | — |
| MATH Level 5 | 6.4% | — |
| GSM8K | — | 36.9% |

## Knowledge

- DeepSeek LLM 67B: 7.1 (#308)
- Llama 2-13B: 27.5 (#244)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| GPQA Diamond | 24.6% | — |
| LMArena Expert | — | 1030 |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- DeepSeek LLM 67B: —
- Llama 2-13B: —

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |

## Multilingual

- DeepSeek LLM 67B: 29.5 (#262)
- Llama 2-13B: 26.7 (#274)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1073 | 1024 |
| LMArena Chinese | 1132 | 1001 |
| LMArena French | — | 1043 |
| LMArena German | — | 1009 |
| LMArena Japanese | — | 894 |
| LMArena Korean | — | 953 |
| LMArena Russian | — | 1055 |
| LMArena Spanish | — | 1086 |

## Instruction Following

- DeepSeek LLM 67B: 55.7 (#272)
- Llama 2-13B: 53.5 (#282)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1079 | 1046 |

## Long Context

- DeepSeek LLM 67B: 33.1 (#260)
- Llama 2-13B: 32.3 (#264)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1092 | 1064 |

## Writing & Preference

- DeepSeek LLM 67B: 31.8 (#277)
- Llama 2-13B: 30.0 (#284)

| Benchmark | DeepSeek LLM 67B | Llama 2-13B |
|---|---|---|
| LMArena Text | 1105 | 1085 |
| LMArena Creative Writing | 1067 | 1047 |
| LMArena Multi-Turn | 1082 | 1050 |

## FAQ

### Is DeepSeek LLM 67B better than Llama 2-13B?

Llama 2-13B is the stronger model overall, scoring 29.1 to 24.8 on the Noometry Index.

### Is DeepSeek LLM 67B or Llama 2-13B better for coding?

They score almost the same on coding (31.3 vs 30.4); test both on your own repository before choosing.

### How many benchmarks do DeepSeek LLM 67B and Llama 2-13B share?

12 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Llama 2-13B has 32.