# DeepSeek-V2.5 (Sep 2024) vs Llama 13b

> DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 23.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v2-5-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V2.5 (Sep 2024) leads 50.0 to 13.9.

## Snapshot

| | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.0 | 23.9 |
| Rank | 197 | 344 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- DeepSeek-V2.5 (Sep 2024): 31.3 (#274)
- Llama 13b: 20.9 (#332)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Coding | 1310 | 683 |
| Aider Polyglot | 17.8% | — |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |

## Reasoning

- DeepSeek-V2.5 (Sep 2024): 24.5 (#145)
- Llama 13b: 13.4 (#327)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1289 | 728 |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.09 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- DeepSeek-V2.5 (Sep 2024): 33.3 (#177)
- Llama 13b: 24.4 (#259)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Math | 1289 | 838 |
| GSM8K | — | 20.6% |

## Knowledge

- DeepSeek-V2.5 (Sep 2024): 34.2 (#190)
- Llama 13b: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Expert | 1266 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- DeepSeek-V2.5 (Sep 2024): —
- Llama 13b: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| ScienceQA | — | 43.3% |

## Multilingual

- DeepSeek-V2.5 (Sep 2024): 42.7 (#188)
- Llama 13b: 16.8 (#292)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Non-English | 1273 | 819 |
| LMArena Chinese | 1317 | — |
| LMArena French | 1288 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1228 | — |
| LMArena Korean | 1209 | — |
| LMArena Russian | 1289 | — |
| LMArena Spanish | 1248 | — |

## Instruction Following

- DeepSeek-V2.5 (Sep 2024): 67.7 (#189)
- Llama 13b: 36.9 (#300)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1280 | 781 |

## Long Context

- DeepSeek-V2.5 (Sep 2024): 39.5 (#169)
- Llama 13b: —

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1301 | — |

## Writing & Preference

- DeepSeek-V2.5 (Sep 2024): 50.0 (#182)
- Llama 13b: 13.9 (#307)

| Benchmark | DeepSeek-V2.5 (Sep 2024) | Llama 13b |
|---|---|---|
| LMArena Text | 1294 | 834 |
| LMArena Creative Writing | 1285 | 794 |
| LMArena Multi-Turn | 1297 | 753 |

## FAQ

### Is DeepSeek-V2.5 (Sep 2024) better than Llama 13b?

DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.0 to 23.9 on the Noometry Index.

### Is DeepSeek-V2.5 (Sep 2024) or Llama 13b better for coding?

DeepSeek-V2.5 (Sep 2024) scores higher on coding benchmarks: 31.3 versus 20.9 in the Noometry coding category.

### How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Llama 13b share?

8 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Llama 13b has 21.