Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Llama 2-34B
Neither DeepSeek-V2 (MoE-236B, May 2024) nor Llama 2-34B has enough public benchmark results to be ranked yet; the rows below show what has been published.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both.
- DeepSeek-V2 (MoE-236B, May 2024) has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Llama 2-34B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 39.7 | — |
| Released | 2024-05-07 | 2023-07-18 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 10 |
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Category by category
Coding Not comparable
DeepSeek-V2 (MoE-236B, May 2024): 39.8 (#141), Llama 2-34B: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 2-34B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Llama 2-34B: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 2-34B |
|---|---|---|
| BIG-Bench Hard | 78.8% | 44.1% |
| Epoch Capabilities Index | 124.78 | 104.81 |
| PIQA | 83.9% | 81.9% |
| WinoGrande | 86.3% | 76.7% |
| HellaSwag | 87.1% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Llama 2-34B: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 2-34B |
|---|---|---|
| GSM8K | — | 42.2% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Llama 2-34B: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Llama 2-34B |
|---|---|---|
| ARC (AI2) Challenge | 92.2% | 54.5% |
| MMLU | 78.4% | 62.6% |
| TriviaQA | 80% | 84.6% |
| BoolQ | — | 83.7% |
| OpenBookQA | — | 58.2% |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Llama 2-34B?
Neither DeepSeek-V2 (MoE-236B, May 2024) nor Llama 2-34B has enough public benchmark results to be ranked yet; the rows below show what has been published.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Llama 2-34B share?
7 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Llama 2-34B has 10.