Google's fourth-generation open dense model with native multimodal understanding.
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 Gemma 4 31B 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.
Gemma 4 31B has a lower blended cost. Gemma 4 31B: $0.20 input / $0.40 output. Inkling Small: $0.45 input / $1.20 output.
Inkling Small has a larger context window: Gemma 4 31B supports 262K tokens vs Inkling Small at 524K tokens.
Yes, both Gemma 4 31B and Inkling Small 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 Gemma 4 31B and Inkling Small for free on idapt.app to see which performs better for your specific needs.