ERNIE 4.5 Turbo

ERNIE 4.5 Turbo takes the core capabilities of ERNIE 4.5 and tunes them for speed, scalability, and price. It’s a text-in/text-out model that follows instructions cleanly, reasons through multi-step problems, and handles practical software tasks, all while keeping latency low enough for real-time copilots and agent loops. Developers can call tools through function-calling interfaces, request deterministic JSON for workflows, and stream tokens for responsive UX. The model supports long-context prompting so it can summarize multi-document inputs, traverse codebases, and maintain state across extended chats. In production, it slots neatly into retrieval-augmented apps and orchestration frameworks, and it’s exposed both in ERNIE Bot and as multiple Qianfan endpoints so you can choose the context window and throughput that fit your use case. If you want ERNIE-level accuracy but need predictable performance and aggressive cost for large deployments, 4.5 Turbo is the pragmatic pick in Baidu’s lineup.