What this page answers
A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understanding and generation through heterogeneous MoE structures an
- Baidu Wenxin · baidu/ernie-4.5-21b-a3b
- text->text · China model route
- 120,000 context · $0.07 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 max_tokens
- supports presence_penalty
- supports repetition_penalty
- supports seed
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
