Baidu: ERNIE 4.5 21B A3B
By Baidu
Released: 2025-08-12
Baidu Ernie 4 5 21B A3B features 21B parameters, MoE architecture and 120k-token context window. 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 and modality-isolated routing. Supporting an extensive 131K token context length, the model achieves efficient inference via multi-expert parallel collaboration and quantization, while advanced post-training techniques including SFT, DPO, and UPO ensure optimised performance across diverse applications with specialized routing and balancing losses for superior task handling. Priced affordably at $0.07/1M tokens.
Visit Baidu: ERNIE 4.5 21B A3BAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Baidu Model Timeline
131k tokens context
120k tokens context
30k tokens context
123k tokens context
123k tokens context
Specifications
AI Evaluation
A versatile multimodal model handling both text and visual inputs. Strong choice for applications requiring cross-modal understanding and analysis.
Pros
- Budget-friendly at $0.07/1M tokens
- 120k token context window
- Multi-modal input support
- Optimized for RAG workflows
Cons
- API integration required
- May need prompt tuning
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