Tao 8KPricing
- Input Tokens: $0.068 /M tokens
- Output Tokens: $0.068 /M tokens
Input Modalities
Frequently asked questions
More models from Baidu
See all Baidu models →Embedding-V1 is a text representation model based on Baidu's Wenxin large model technology, capable of converting text into numerical vector forms for applications such as text retrieval, information recommendation, and knowledge mining. Embedding-V1 provides an Embeddings interface that generates corresponding vector representations based on the input content. By calling this interface, you can input text into the model and obtain the corresponding vector representations for subsequent text processing and analysis.
Wenxin 4.5 Turbo also has significant improvements in hallucination reduction, logical reasoning, and coding capabilities. Compared to Wenxin 4.5, it is faster and more affordable.
Baidu's self-developed ERNIE iRAG Edit image editing model supports operations based on images such as erase (object removal), repaint (object redrawing), and variation (variant generation).
Baidu's self-developed ERNIE iRAG Edit image editing model supports operations based on images such as erase (object removal), repaint (object redrawing), and variation (variant generation).
Baidu's self-developed ERNIE iRAG (ERNIE image-based RAG), a retrieval-augmented text-to-image technology, combines Baidu Search's hundreds of millions of image resources with powerful foundational model capabilities to generate various ultra-realistic images. The overall effect far surpasses native text-to-image systems, eliminating the typical AI feel while maintaining low costs. ERNIE iRAG features no hallucinations, ultra-realism, and instant usability.
Wenxin Large Model 4.5 is a next-generation native multimodal foundational model independently developed by Baidu. It achieves collaborative optimization through joint modeling of multiple modalities, demonstrating excellent multimodal understanding capabilities; it possesses more advanced language abilities, with comprehensive improvements in comprehension, generation, logic, and memory, as well as significant enhancements in hallucination reduction, logical reasoning, and coding capabilities.ERNIE-4.5-21B-A3B is an aligned open-source model with a MoE structure, having a total of 21 billion parameters and 3 billion activated parameters.
