Baidu's large vision-language MoE model — 424B total, 47B active.
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.
This model hasn't been benchmarked yet.
Both ERNIE 4.5 VL 424B 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 larger context window: ERNIE 4.5 VL 424B supports 123K tokens vs Gemma 4 31B at 262K tokens.
Yes, both ERNIE 4.5 VL 424B and Gemma 4 31B support vision/image input.
Key differences: 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 ERNIE 4.5 VL 424B and Gemma 4 31B for free on idapt.app to see which performs better for your specific needs.