Baidu: ERNIE 4.5 VL 424B A47B
By Baidu
Released: 2025-06-30
Baidu Ernie 4 5 Vl 424B A47B features 47B parameters, MoE architecture and 123k-token context window. 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 using a heterogeneous MoE architecture and modality-isolated routing to enable high-fidelity cross-modal reasoning, image understanding, and long-context generation (up to 131k tokens). Fine-tuned with techniques like SFT, DPO, UPO, and RLVR, this model supports both “thinking” and non-thinking inference modes. Designed for vision-language tasks in English and Chinese, it is optimised for efficient scaling and can operate under 4-bit/8-bit quantization. Available at $0.42/1M tokens.
Visit Baidu: ERNIE 4.5 VL 424B A47BAI-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
Built for deep analytical thinking and multi-step problem solving. Excels at tasks requiring careful logical reasoning and systematic analysis.
Pros
- 123k token context window
- Advanced logical reasoning
- Image and visual analysis
- Multi-modal input support
Cons
- API integration required
- May need prompt tuning
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