MiniMax's previous flagship model — strong long context and multimodal.
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 MiniMax M1 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. MiniMax M1: $0.55 input / $2.20 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: MiniMax M1 supports 1M tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Gemini 3.5 Flash-Lite supports vision/image input, but MiniMax M1 does not.
Key differences: 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 MiniMax M1 and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.