An individual developer running a Retrieval-Augmented Generation (RAG) pipeline for a documentation site switched from expensive US-based proprietary AI APIs (e.g., OpenAI GPT-4o) to more affordable Chinese open-source models (e.g., DeepSeek V4 Flash) accessed through a unified API gateway (Global API). This approach maintained comparable output quality for general reasoning and code generation tasks while drastically reducing inference costs (from $10.00 to $0.25 per million output tokens). The developer overcame access barriers (Chinese phone verification, payment methods) by using Global API, which provides OpenAI-compatible endpoints, English documentation, and global access with standard payment methods.
Use Case
Opening the operator briefing
Pulling the full operator breakdown, tooling context, and verification notes.
