The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
Google's high-efficiency model for focused subagent work and multi-agent workflows.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Qwen3.8 2.4T A95B and Gemini 3.5 Flash-Lite 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.
Gemini 3.5 Flash-Lite has a lower blended cost. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Qwen3.8 2.4T A95B supports 1M tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Gemini 3.5 Flash-Lite supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: Gemini 3.5 Flash-Lite is significantly cheaper; only Gemini 3.5 Flash-Lite 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 Qwen3.8 2.4T A95B and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.