Google's high-speed thinking model for agentic workflows, chat, and coding.
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.
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. Gemini 3.5 Flash: $1.50 input / $9.00 output. DeepSeek V4 Pro: $0.43 input / $0.87 output.
Gemini 3.5 Flash has a larger context window: Gemini 3.5 Flash supports 1M tokens vs DeepSeek V4 Pro 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: Gemini 3.5 Flash resolves 79% vs DeepSeek V4 Pro at 78%.
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 Gemini 3.5 Flash and DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.