Baidu's large vision-language MoE model — 424B total, 47B active.
Efficient coding agent with 80B parameters, only 3B active per token.
No shared demos for these models yet.
No captured outputs for these models yet.
Both ERNIE 4.5 VL 424B and Qwen3 Coder Next 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.
Qwen3 Coder Next has a lower blended cost. ERNIE 4.5 VL 424B: $0.42 input / $1.25 output. Qwen3 Coder Next: $0.11 input / $0.80 output.
Qwen3 Coder Next has a larger context window: ERNIE 4.5 VL 424B supports 123K tokens vs Qwen3 Coder Next at 262K tokens.
ERNIE 4.5 VL 424B supports vision/image input, but Qwen3 Coder Next does not.
Key differences: Qwen3 Coder Next is significantly cheaper; only ERNIE 4.5 VL 424B supports vision input; only ERNIE 4.5 VL 424B 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 Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.