Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen3-1.7B
Qwen3-1.7B has enough public results to be ranked (#336); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
DeepSeek
Alibaba (Qwen)Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Qwen3-1.7B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 26.6 |
| Released | 2024-05-07 | 2025-04-29 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 4 |
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Category by category
Coding Not comparable
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Qwen3-1.7B: —
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3-1.7B |
|---|---|---|
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3-1.7B: 24.7 (#115)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3-1.7B: 19.2 (#267)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
| BIG-Bench Hard | 78.8% | — |
| Epoch Capabilities Index | 124.77 | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3-1.7B: 16.3 (#294)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3-1.7B: 19.6 (#278)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen3-1.7B?
Qwen3-1.7B has enough public results to be ranked (#336); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen3-1.7B share?
0 benchmarks have published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen3-1.7B has 4.