DeepSeek Opens Full-Stack API for Developers to Replicate Its App

DeepSeek has officially opened its full-stack application API, splitting web search, deep-thinking search, file upload, link reading, and for the first time, speech recognition and synthesis into independent interfaces that can be called separately and billed individually. The company claims developers can replicate the complete DeepSeek App 1:1, and has open-sourced a lightweight chat front-end demo that supports importing historical conversations.

Compared to the October Search/Fetch API that required manual tool chaining, the new interfaces let the model automatically make search decisions and multi-step connections, with server-side tool invocation and context stitching. The V4.1-Flash model supports web search, deep-thinking search, file input, link reading, and security checks under the Messages, Responses, and Chat Completions APIs. Search, Fetch, OCR, ASR, and TTS can all be called as independent interfaces for integration into custom workflows. Tool calls are billed per use, e.g., search at 5 yuan per thousand calls.

This opening marks DeepSeek's evolution from a model provider to an application platform, enabling developers to quickly build AI applications with full conversational capabilities and lowering the development barrier. The opening of speech capabilities completes the multimodal interaction gap, and the open-source front-end demo further accelerates ecosystem building. It is expected to attract numerous developers to build vertical applications based on DeepSeek, promoting the prosperity of the AI application ecosystem.