Google's fourth-generation open dense model with native multimodal understanding.
Reflection's open-weight reasoning model for coding and long-horizon agentic workflows.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemma 4 31B and Beam 1.0 501B A23B 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. Beam 1.0 501B A23B: $1.00 input / $3.00 output.
Beam 1.0 501B A23B has a larger context window: Gemma 4 31B supports 262K tokens vs Beam 1.0 501B A23B at 1M tokens.
Gemma 4 31B supports vision/image input, but Beam 1.0 501B A23B does not.
Key differences: Gemma 4 31B is significantly cheaper; only Gemma 4 31B supports vision input. 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 Beam 1.0 501B A23B for free on idapt.app to see which performs better for your specific needs.