Model comparison
DeepSeek-V2 (MoE-236B, May 2024) vs Qwen3.5-9B
Qwen3.5-9B has enough public results to be ranked (#236); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. DeepSeek-V2 (MoE-236B, May 2024) scores higher in 1 category and Qwen3.5-9B 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 35.9.
Side by side
| DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.5-9B | |
|---|---|---|
| Provider | DeepSeek | Alibaba (Qwen) |
| Noometry Index | 40.3 | 33.8 |
| Released | 2024-05-07 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 10 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek-V2 (MoE-236B, May 2024) leads
DeepSeek-V2 (MoE-236B, May 2024): 40.4 (#139), Qwen3.5-9B: 35.9 (#217)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
| BigCodeBench Instruct | 48.9% | — |
| BigCodeBench Complete | 59.4% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.5-9B: 23.1 (#182)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 124.77 | 139.46 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
| BIG-Bench Hard | 78.8% | — |
| HellaSwag | 87.1% | — |
| PIQA | 83.9% | — |
| WinoGrande | 86.3% | — |
Math Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.5-9B: 34.8 (#192)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
Knowledge Not comparable
DeepSeek-V2 (MoE-236B, May 2024): —, Qwen3.5-9B: 46.0 (#84)
| Benchmark | DeepSeek-V2 (MoE-236B, May 2024) | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| ARC (AI2) Challenge | 92.2% | — |
| MMLU | 78.4% | — |
| TriviaQA | 80% | — |
Frequently asked questions
Is DeepSeek-V2 (MoE-236B, May 2024) better than Qwen3.5-9B?
Qwen3.5-9B has enough public results to be ranked (#236); DeepSeek-V2 (MoE-236B, May 2024) does not yet, so treat this comparison as directional.
Is DeepSeek-V2 (MoE-236B, May 2024) or Qwen3.5-9B better for coding?
DeepSeek-V2 (MoE-236B, May 2024) scores higher on coding benchmarks: 40.4 versus 35.9 in the Noometry coding category.
How many benchmarks do DeepSeek-V2 (MoE-236B, May 2024) and Qwen3.5-9B share?
1 benchmark has published results for both models. DeepSeek-V2 (MoE-236B, May 2024) has 10 scored results on Noometry and Qwen3.5-9B has 10.