Efficient vision-language MoE with linear attention and 3B active parameters.
The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Qwen3.5 35B A3B and DeepSeek V4 Pro (0813) 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 35B A3B has a lower blended cost. Qwen3.5 35B A3B: $0.14 input / $1.00 output. DeepSeek V4 Pro (0813): $0.66 input / $1.98 output.
DeepSeek V4 Pro (0813) has a larger context window: Qwen3.5 35B A3B supports 262K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.
Qwen3.5 35B A3B supports vision/image input, but DeepSeek V4 Pro (0813) does not.
Key differences: Qwen3.5 35B A3B is significantly cheaper; only Qwen3.5 35B A3B 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 35B A3B and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.