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SEO release batch two

Baidu: ERNIE 4.5 VL 424B A47B | API capability profile

Baidu: ERNIE 4.5 VL 424B A47B API capability starts with model ID, modality, parameter surface, and the next key-check step.

Provider
Baidu Wenxin
5 models in catalog
Context
123,000
China model route
Input
$0.42
USD / 1M tokens
Output
$1.25
USD / 1M tokens

What this page answers

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...

  • Baidu Wenxin · baidu/ernie-4.5-vl-424b-a47b
  • text+image->text · China model route
  • 123,000 context · $0.42 input

Before connecting

Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.

  • supports frequency_penalty
  • supports include_reasoning
  • supports max_tokens
  • supports presence_penalty
  • supports reasoning

Next action

The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.

  • Check whether the model fits the use case
  • Then verify key permission and callable models