Efficient vision-language MoE with linear attention and 3B active parameters.
Google's high-efficiency model for focused subagent work and multi-agent workflows.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
This model hasn't been benchmarked yet.
Both Qwen3.5 35B A3B 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.
Qwen3.5 35B A3B has a lower blended cost. Qwen3.5 35B A3B: $0.14 input / $1.00 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Qwen3.5 35B A3B supports 262K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Yes, both Qwen3.5 35B A3B and Gemini 3.5 Flash-Lite support vision/image input.
Key differences: Qwen3.5 35B A3B is significantly cheaper. 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 Qwen3.5 35B A3B and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.