# DeepSeek Coder 6.7B vs Llama 3.1-8B

> Llama 3.1-8B has enough public results to be ranked (#352); 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-3-1-8b
- Last updated: 2026-10-10
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Llama 3.1-8B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek Coder 6.7B leads 35.8 to 20.2.

## Snapshot

| | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.6 | 23.0 |
| Rank | — | 352 |
| Context | — | 128K |
| Input $/M | — | $0.05 |
| Output $/M | — | $0.08 |
| Weights | Open | Open |

## Coding

- DeepSeek Coder 6.7B: 35.8 (#219)
- Llama 3.1-8B: 20.2 (#340)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 32.8% |
| BigCodeBench Complete | 43.8% | 40.5% |
| HumanEval+ | 71.3% | 62.8% |
| MBPP+ | 65.6% | 55.6% |
| SciCode | — | 13.2% |
| WeirdML | — | 1.7% |
| LMArena Coding | — | 1195 |

## Agentic & Tool Use

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 22.5 (#131)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| BALROG | — | 15.1% |

## Reasoning

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 14.9 (#321)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 116.57 |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1175 |
| DTBench | — | 50.9% |
| LMCA | — | 5.4% |
| PIQA | — | 81.2% |
| WinoGrande | 57.6% | — |

## Math

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 10.2 (#317)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| GSM8K | 21.3% | 82.4% |
| OTIS Mock AIME 2024-2025 | — | 1.7% |
| Omni-MATH | — | 13.7% |
| LMArena Math | — | 1179 |
| MATH Level 5 | — | 22.9% |

## Knowledge

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 8.0 (#307)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| MMLU | 36.4% | 56.1% |
| GPQA Diamond | — | 27% |
| MMLU-Pro | — | 40.6% |
| GPQA (HELM) | — | 24.7% |
| LMArena Expert | — | 1144 |
| ARC (AI2) Challenge | 36.4% | — |
| BoolQ | — | 82.8% |

## Multilingual

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 34.0 (#249)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | — | 1148 |
| LMArena Chinese | — | 1151 |
| LMArena French | — | 1177 |
| LMArena German | — | 1144 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1053 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1169 |

## Instruction Following

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 58.9 (#258)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| IFEval | — | 74.3% |
| LMArena Instruction Following | — | 1159 |

## Long Context

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 35.8 (#238)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | — | 1182 |

## Writing & Preference

- DeepSeek Coder 6.7B: —
- Llama 3.1-8B: 29.7 (#290)

| Benchmark | DeepSeek Coder 6.7B | Llama 3.1-8B |
|---|---|---|
| LMArena Text | — | 1187 |
| LMArena Creative Writing | — | 1154 |
| EQ-Bench Creative Writing | — | 713 |
| WildBench | — | 68.7% |
| LMArena Multi-Turn | — | 1172 |

## FAQ

### Is DeepSeek Coder 6.7B better than Llama 3.1-8B?

Llama 3.1-8B has enough public results to be ranked (#352); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.

### Is DeepSeek Coder 6.7B or Llama 3.1-8B better for coding?

DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 20.2 in the Noometry coding category.

### How many benchmarks do DeepSeek Coder 6.7B and Llama 3.1-8B share?

7 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Llama 3.1-8B has 43.