Unbiased's multimodal composite model, blending several underlying checkpoints to reach frontier-level general performance.
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 Pareto 26.9 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. Pareto 26.9: $2.50 input / $7.50 output. Gemma 4 31B: $0.20 input / $0.40 output.
Pareto 26.9 has a larger context window: Pareto 26.9 supports 262K tokens vs Gemma 4 31B at 262K tokens.
Yes, both Pareto 26.9 and Gemma 4 31B support vision/image input.
Key differences: Gemma 4 31B is significantly cheaper; 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 Pareto 26.9 and Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.