Thinking Machines Lab's smaller, more efficient open-weight multimodal model, with 12B active parameters out of 276B total.
Google's most intelligent Flash model, with significant gains over 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Inkling Small and Gemini 3.8 Flash 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. Inkling Small: $0.45 input / $1.20 output. Gemini 3.8 Flash: $0.83 input / $4.13 output.
Gemini 3.8 Flash has a larger context window: Inkling Small supports 524K tokens vs Gemini 3.8 Flash at 1M tokens.
Yes, both Inkling Small and Gemini 3.8 Flash support vision/image input.
Inkling Small and Gemini 3.8 Flash 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 Inkling Small and Gemini 3.8 Flash for free on idapt.app to see which performs better for your specific needs.