Model comparison
Deepseek Coder v2 vs Llama 2-34B
Deepseek Coder v2 has enough public results to be ranked (#220); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
DeepSeek
MetaSummary
- They share 3 benchmarks with published results for both.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | Llama 2-34B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 35.9 | — |
| Released | 2024-06-17 | 2023-07-18 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 10 |
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Category by category
Coding Not comparable
Deepseek Coder v2: 38.1 (#183), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning Not comparable
Deepseek Coder v2: 23.6 (#176), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| WinoGrande | 83.7% | 76.7% |
| LMArena Hard Prompts | 1207 | — |
| BIG-Bench Hard | — | 44.1% |
| Epoch Capabilities Index | — | 105.2 |
| PIQA | — | 81.9% |
Math Not comparable
Deepseek Coder v2: 34.9 (#190), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| GSM8K | 94.5% | 42.2% |
| LMArena Math | 1241 | — |
Knowledge Not comparable
Deepseek Coder v2: 32.3 (#212), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| ARC (AI2) Challenge | 64.3% | 54.5% |
| LMArena Expert | 1181 | — |
| BoolQ | — | 83.7% |
| MMLU | — | 62.6% |
| OpenBookQA | — | 58.2% |
| TriviaQA | — | 84.6% |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Llama 2-34B: —
| Benchmark | Deepseek Coder v2 | Llama 2-34B |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Llama 2-34B?
Deepseek Coder v2 has enough public results to be ranked (#220); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do Deepseek Coder v2 and Llama 2-34B share?
3 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Llama 2-34B has 10.