Inception's latest diffusion LLM and the fastest reasoning model available, producing and refining tokens in parallel instead of one at a time.
Google's fourth-generation open dense model with native multimodal understanding.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Mercury 2.5 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.
Mercury 2.5 has a lower blended cost. Mercury 2.5: $0.04 input / $0.15 output. Gemma 4 31B: $0.20 input / $0.40 output.
Gemma 4 31B has a larger context window: Mercury 2.5 supports 260K tokens vs Gemma 4 31B at 262K tokens.
Gemma 4 31B supports vision/image input, but Mercury 2.5 does not.
Key differences: Mercury 2.5 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 Mercury 2.5 and Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.