Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
Flagship reasoning model for complex multi-step tasks.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, DeepSeek V4 Pro scores higher (81.6 vs 76.5). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
DeepSeek V4 Pro has a lower blended cost. DeepSeek V4 Pro: $0.43 input / $0.87 output. Qwen3 Max Thinking: $0.78 input / $3.90 output.
DeepSeek V4 Pro has a larger context window: DeepSeek V4 Pro supports 1M tokens vs Qwen3 Max Thinking at 262K tokens.
Key differences: DeepSeek V4 Pro has a notably higher capability index (5.1 point gap). 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 DeepSeek V4 Pro and Qwen3 Max Thinking for free on idapt.app to see which performs better for your specific needs.