Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct has enough public results to be ranked (#297); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen2.5 32B Instruct in 0 categories; one gap is clear of the uncertainty.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 52.3% for Qwen2.5 32B Instruct.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 30.1 |
| Released | 2024-05-07 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.70 |
| Output $ / M tokens | — | $2.80 |
| Results tracked | 10 | 7 |
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Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 32B Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 45% |
| BigCodeBench Complete | 59.4% | 52.3% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 32B Instruct |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 128.52 |
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| MATH Level 5 | — | 56.1% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct has enough public results to be ranked (#297); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen2.5 32B Instruct better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 38.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen2.5 32B Instruct share?
3 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen2.5 32B Instruct has 7.