Google's fourth-generation open dense model with native multimodal understanding.
Inference.net's extraction specialist tuned for quality: a 3B model that turns HTML pages into structured JSON.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Schematron V2 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.
Schematron V2 Small has a lower blended cost. Gemma 4 31B: $0.20 input / $0.40 output. Schematron V2 Small: $0.05 input / $0.23 output.
Gemma 4 31B has a larger context window: Gemma 4 31B supports 262K tokens vs Schematron V2 Small at 128K tokens.
Gemma 4 31B supports vision/image input, but Schematron V2 Small does not.
Key differences: Schematron V2 Small is significantly cheaper; only Gemma 4 31B supports vision input; only Gemma 4 31B offers extended reasoning mode. 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 Schematron V2 Small for free on idapt.app to see which performs better for your specific needs.