Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct has enough public results to be ranked (#320); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 4 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen2.5 7B Instruct in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where DeepSeek-V2 (MoE-236B, May 2024) leads 40.4 to 36.5.
- The biggest single-benchmark swing is BigCodeBench Complete: 59.4% for DeepSeek-V2 (MoE-236B, May 2024) and 46.1% for Qwen2.5 7B Instruct.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 29.0 |
| Released | 2024-05-07 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 10 | 15 |
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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 7B Instruct: 36.5 (#208)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | 48.9% | 37.6% |
| BigCodeBench Complete | 59.4% | 46.1% |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 118.51 |
| Chess Puzzles | — | 0% |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| 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 7B Instruct: 12.6 (#306)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| MMLU | 78.4% | 72.9% |
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| GPQA (HELM) | — | 34.1% |
| ARC (AI2) Challenge | 92.2% | — |
| TriviaQA | 80% | — |
Instruction Following Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
Writing & Preference Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | — | 73.1% |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct has enough public results to be ranked (#320); 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 7B Instruct better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 36.5 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen2.5 7B Instruct share?
4 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen2.5 7B Instruct has 15.