Google's most intelligent Flash model, with significant gains over 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Baidu's large vision-language MoE model — 424B total, 47B active.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Gemini 3.8 Flash and ERNIE 4.5 VL 424B 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.
ERNIE 4.5 VL 424B has a lower blended cost. Gemini 3.8 Flash: $0.75 input / $3.75 output. ERNIE 4.5 VL 424B: $0.42 input / $1.25 output.
Gemini 3.8 Flash has a larger context window: Gemini 3.8 Flash supports 1M tokens vs ERNIE 4.5 VL 424B at 123K tokens.
Yes, both Gemini 3.8 Flash and ERNIE 4.5 VL 424B support vision/image input.
Gemini 3.8 Flash and ERNIE 4.5 VL 424B have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 Gemini 3.8 Flash and ERNIE 4.5 VL 424B for free on idapt.app to see which performs better for your specific needs.