Compact 9B vision-language model from the Qwen3.5 family.
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Both Qwen3.5 9B and DeepSeek V4 Pro are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Qwen3.5 9B has a lower blended cost. Qwen3.5 9B: $0.10 input / $0.15 output. DeepSeek V4 Pro: $0.43 input / $0.87 output.
DeepSeek V4 Pro has a larger context window: Qwen3.5 9B supports 262K tokens vs DeepSeek V4 Pro at 1M tokens.
Qwen3.5 9B supports vision/image input, but DeepSeek V4 Pro does not.
Key differences: Qwen3.5 9B is significantly cheaper; only Qwen3.5 9B supports vision input. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Qwen3.5 9B and DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.