# Deepseek Coder v2 vs Llama 2-70B

> Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 24.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-coder-v2-vs-llama-2-70b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Deepseek Coder v2 scores higher in 8 categories and Llama 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Deepseek Coder v2 leads 32.3 to 7.5.

## Snapshot

| | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.3 | 24.1 |
| Rank | 217 | 343 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Deepseek Coder v2: 37.5 (#178)
- Llama 2-70B: 30.8 (#281)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1251 | 1079 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |

## Reasoning

- Deepseek Coder v2: 22.6 (#175)
- Llama 2-70B: 13.7 (#324)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1073 |
| WinoGrande | 83.7% | 80.2% |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.59 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |

## Math

- Deepseek Coder v2: 32.3 (#188)
- Llama 2-70B: 7.5 (#320)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Math | 1241 | 1091 |
| GSM8K | 94.5% | 69.6% |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |

## Knowledge

- Deepseek Coder v2: 31.7 (#209)
- Llama 2-70B: 7.4 (#305)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1181 | 1039 |
| ARC (AI2) Challenge | 64.3% | 78.3% |
| GPQA Diamond | — | 26.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |

## Multilingual

- Deepseek Coder v2: 36.4 (#235)
- Llama 2-70B: 27.9 (#269)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1182 | 1045 |
| LMArena Chinese | 1201 | 994 |
| LMArena French | 1184 | 1089 |
| LMArena German | 1164 | 1041 |
| LMArena Japanese | 1126 | 927 |
| LMArena Korean | 1104 | 964 |
| LMArena Russian | 1188 | 1083 |
| LMArena Spanish | 1153 | 1142 |

## Instruction Following

- Deepseek Coder v2: 61.9 (#237)
- Llama 2-70B: 55.1 (#273)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1180 | 1071 |

## Long Context

- Deepseek Coder v2: 37.0 (#219)
- Llama 2-70B: 32.2 (#265)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1219 | 1062 |

## Writing & Preference

- Deepseek Coder v2: 38.4 (#249)
- Llama 2-70B: 32.5 (#274)

| Benchmark | Deepseek Coder v2 | Llama 2-70B |
|---|---|---|
| LMArena Text | 1191 | 1115 |
| LMArena Creative Writing | 1120 | 1075 |
| LMArena Multi-Turn | 1176 | 1088 |

## FAQ

### Is Deepseek Coder v2 better than Llama 2-70B?

Deepseek Coder v2 is the stronger model overall, scoring 35.3 to 24.1 on the Noometry Index.

### Is Deepseek Coder v2 or Llama 2-70B better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 37.5 versus 30.8 in the Noometry coding category.

### How many benchmarks do Deepseek Coder v2 and Llama 2-70B share?

20 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Llama 2-70B has 35.