Alibaba's flagship Qwen3.7 model, built for agent-centric workloads.
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 84.7). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Qwen3.7 Max has a lower blended cost. Qwen3.7 Max: $1.48 input / $4.42 output. Gemini 3.5 Flash: $1.50 input / $9.00 output.
Gemini 3.5 Flash has a larger context window: Qwen3.7 Max supports 1M tokens vs Gemini 3.5 Flash at 1M tokens.
Gemini 3.5 Flash supports vision/image input, but Qwen3.7 Max does not.
Gemini 3.5 Flash scores higher on SWE-bench Verified: Qwen3.7 Max resolves 77% vs Gemini 3.5 Flash at 79%.
Key differences: 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 Qwen3.7 Max and Gemini 3.5 Flash for free on idapt.app to see which performs better for your specific needs.