Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
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.
Both Inkling 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. Inkling: $1.00 input / $4.05 output. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output.
Gemini 3.5 Flash-Lite has a larger context window: Inkling supports 524K tokens vs Gemini 3.5 Flash-Lite at 1M tokens.
Yes, both Inkling and Gemini 3.5 Flash-Lite support vision/image input.
Key differences: Gemini 3.5 Flash-Lite 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 Inkling and Gemini 3.5 Flash-Lite for free on idapt.app to see which performs better for your specific needs.