Compact vision-language MoE model from Baidu — 28B total, 3B active.
MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.
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 28B and Kimi K3 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.
Kimi K3 has a larger context window: ERNIE 4.5 VL 28B supports 30K tokens vs Kimi K3 at 1M tokens.
Yes, both ERNIE 4.5 VL 28B and Kimi K3 support vision/image input.
Key differences: only Kimi K3 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 28B and Kimi K3 for free on idapt.app to see which performs better for your specific needs.