July 2025 Qwen3 30B MoE model with always-on extended thinking.
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 30B A3B Thinking (2507) 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 30B A3B Thinking (2507) has a lower blended cost. Qwen3 30B A3B Thinking (2507): $0.13 input / $1.56 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Qwen3 30B A3B Thinking (2507) supports 82K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Gemini 3.5 Flash-Lite supports vision/image input, but Qwen3 30B A3B Thinking (2507) does not.
Key differences: Qwen3 30B A3B Thinking (2507) 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 30B A3B Thinking (2507) and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.