Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
Google's high-speed thinking model for agentic workflows, chat, and coding.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Gemini 3.5 Flash scores higher (86.2 vs 81.6). 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. Gemini 3.5 Flash: $1.50 input / $9.00 output.
DeepSeek V4 Pro has a larger context window: DeepSeek V4 Pro supports 1M tokens vs Gemini 3.5 Flash at 1M tokens.
Gemini 3.5 Flash supports vision/image input, but DeepSeek V4 Pro does not.
Gemini 3.5 Flash scores higher on SWE-bench Verified: DeepSeek V4 Pro resolves 78% vs Gemini 3.5 Flash at 79%.
Key differences: DeepSeek V4 Pro is significantly cheaper; only Gemini 3.5 Flash 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 DeepSeek V4 Pro and Gemini 3.5 Flash for free on idapt.app to see which performs better for your specific needs.