Google's high-efficiency model for focused subagent work and multi-agent workflows.
Thinking Machines Lab's smaller, more efficient open-weight multimodal model, with 12B active parameters out of 276B total.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemini 3.5 Flash-Lite and Inkling Small 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.
Inkling Small has a lower blended cost. Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output. Inkling Small: $0.45 input / $1.20 output.
Gemini 3.5 Flash-Lite has a larger context window: Gemini 3.5 Flash-Lite supports 1M tokens vs Inkling Small at 524K tokens.
Yes, both Gemini 3.5 Flash-Lite and Inkling Small support vision/image input.
Gemini 3.5 Flash-Lite and Inkling Small have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 Gemini 3.5 Flash-Lite and Inkling Small for free on idapt.app to see which performs better for your specific needs.