5 articles
A new academic study examining "shadow APIs" finds that third-party services claiming to offer access to frontier AI models may deliver significantly weaker performance than official APIs, with accuracy gaps reaching more than 47%.
Moonshot AI's open-weights model is now available across eight API providers, but benchmark data reveals striking differences in speed, latency, and pricing that could seriously influence where developers choose to deploy.
Kimi.ai launched the Kimi K2.5 API with dramatically lower pricing and high-speed inference, targeting developers who need long-context AI applications without choosing between performance and cost.
Google DeepMind has rolled out a fully managed Retrieval-Augmented Generation (RAG) system within the Gemini API, making it significantly cheaper and easier to build RAG workflows. Developers can now upload files, search through them, and get cited responses without dealing with infrastructure headaches.
Philipp Schmid launched the Gemini Docs MCP Server — a local tool that lets developers instantly search Google Gemini API docs offline, making SDK integration easier across development environments.
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