Model comparison
DeepSeek Coder 6.7B vs Llama 3-8B
Llama 3-8B has enough public results to be ranked (#344); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 8 shared benchmarks.
DeepSeek
MetaSummary
- They share 8 benchmarks with published results for both. DeepSeek Coder 6.7B scores higher in 1 category and Llama 3-8B 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 31.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 43.8% for DeepSeek Coder 6.7B and 36.9% for Llama 3-8B.
Side by side
| DeepSeek Coder 6.7B | Llama 3-8B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 37.6 | 25.5 |
| Released | 2023-11-02 | 2024-04-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek Coder 6.7B leads
DeepSeek Coder 6.7B: 35.8 (#219), Llama 3-8B: 31.0 (#289)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| BigCodeBench Instruct | 35.5% | 31.9% |
| BigCodeBench Complete | 43.8% | 36.9% |
| HumanEval+ | 71.3% | 56.7% |
| MBPP+ | 65.6% | 54.8% |
| LMArena Coding | — | 1152 |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 14.3 (#326)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 116.45 |
| WinoGrande | 57.6% | 75.7% |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1133 |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
Math Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 8.8 (#323)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| LMArena Math | — | 1151 |
| MATH Level 5 | — | 6.1% |
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 7.8 (#308)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| ARC (AI2) Challenge | 36.4% | 82.8% |
| MMLU | 36.4% | 68.8% |
| GPQA Diamond | — | 26.1% |
| LMArena Expert | — | 1113 |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 30.8 (#261)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| LMArena Non-English | — | 1098 |
| LMArena Chinese | — | 1076 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Russian | — | 1109 |
| LMArena Spanish | — | 1173 |
Instruction Following Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 58.4 (#260)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | — | 1127 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 34.2 (#251)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | — | 1128 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, Llama 3-8B: 37.5 (#256)
| Benchmark | DeepSeek Coder 6.7B | Llama 3-8B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1150 |
| LMArena Multi-Turn | — | 1152 |
Frequently asked questions
Is DeepSeek Coder 6.7B better than Llama 3-8B?
Llama 3-8B has enough public results to be ranked (#344); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or Llama 3-8B better for coding?
DeepSeek Coder 6.7B scores higher on coding benchmarks: 35.8 versus 31.0 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and Llama 3-8B share?
8 benchmarks have published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Llama 3-8B has 34.