Model comparison
DeepSeek LLM 67B vs Llama 3-8B
DeepSeek LLM 67B and Llama 3-8B score almost the same on the Noometry Index (24.9 vs 25.5), so choose on price, context window or the category you care about most.
Last verified . 15 shared benchmarks.
DeepSeek
MetaSummary
- They share 15 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 2 categories and Llama 3-8B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 3-8B leads 37.5 to 31.6.
Side by side
| DeepSeek LLM 67B | Llama 3-8B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 24.9 | 25.5 |
| Released | 2023-11-29 | 2024-04-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 34 |
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Category by category
Coding Too close to call
DeepSeek LLM 67B: 31.9 (#278), Llama 3-8B: 31.0 (#289)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1096 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning DeepSeek LLM 67B leads
DeepSeek LLM 67B: 16.5 (#304), Llama 3-8B: 14.3 (#326)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1070 | 1133 |
| Epoch Capabilities Index | 110.5 | 116.45 |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Too close to call
DeepSeek LLM 67B: 8.7 (#324), Llama 3-8B: 8.8 (#323)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 1.9% |
| LMArena Math | 1108 | 1151 |
| MATH Level 5 | 6.4% | 6.1% |
Knowledge Too close to call
DeepSeek LLM 67B: 7.0 (#313), Llama 3-8B: 7.8 (#308)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| GPQA Diamond | 24.6% | 26.1% |
| LMArena Expert | — | 1113 |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Llama 3-8B leads
DeepSeek LLM 67B: 29.4 (#267), Llama 3-8B: 30.8 (#261)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1073 | 1098 |
| LMArena Chinese | 1132 | 1076 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Russian | — | 1109 |
| LMArena Spanish | — | 1173 |
Instruction Following Llama 3-8B leads
DeepSeek LLM 67B: 55.4 (#277), Llama 3-8B: 58.4 (#260)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1079 | 1127 |
Long Context Llama 3-8B leads
DeepSeek LLM 67B: 33.1 (#265), Llama 3-8B: 34.2 (#251)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1092 | 1128 |
Writing & Preference Llama 3-8B leads
DeepSeek LLM 67B: 31.6 (#282), Llama 3-8B: 37.5 (#256)
| Benchmark | DeepSeek LLM 67B | Llama 3-8B |
|---|---|---|
| LMArena Text | 1105 | 1166 |
| LMArena Creative Writing | 1067 | 1150 |
| LMArena Multi-Turn | 1082 | 1152 |
Frequently asked questions
Is DeepSeek LLM 67B better than Llama 3-8B?
DeepSeek LLM 67B and Llama 3-8B score almost the same on the Noometry Index (24.9 vs 25.5), so choose on price, context window or the category you care about most.
Is DeepSeek LLM 67B or Llama 3-8B better for coding?
They score almost the same on coding (31.9 vs 31.0); test both on your own repository before choosing.
How many benchmarks do DeepSeek LLM 67B and Llama 3-8B share?
15 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Llama 3-8B has 34.