Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
Google's fourth-generation open dense model with native multimodal understanding.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Both Inkling and Gemma 4 31B 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.
Gemma 4 31B has a lower blended cost. Inkling: $1.00 input / $4.05 output. Gemma 4 31B: $0.12 input / $0.37 output.
Inkling has a larger context window: Inkling supports 524K tokens vs Gemma 4 31B at 262K tokens.
Yes, both Inkling and Gemma 4 31B support vision/image input.
Key differences: Gemma 4 31B 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 Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.