GLM‑5.2 is Z.ai’s newest open‑source model designed for long‑horizon coding tasks. It supports a solid 1 million‑token context, introduces flexible “effort” levels for balancing speed and capability, and uses the IndexShare architecture to cut per‑token FLOPs by 2.9×. Benchmarks show it outperforms its predecessor (GLM‑5.1) and ranks as the strongest open‑source coding model, closing the gap to leading closed‑source systems.
MiniMax released its latest M‑series model, **MiniMax‑M3**, on June 1 2026. The model is marketed for agentic reasoning, tool use, coding, multimodal chat input, and long‑context tasks. It follows a series of MiniMax models (M2.5, M2.1) that already claimed state‑of‑the‑art (SOTA) performance in programming, code refactoring, and tool calling.
LangChain – Introduces Managed Deep Agents that retain the familiar project layout (AGENTS.md, skills/, subagents/, tools.json) and adds a Context Hub for persisting and updating agent context across sessions; a technical roundtable on June 17 in Munich will cover production‑grade agents, agent harnesses, and the Deep Agents SDK. MiniMax – Launches MiniMax M3, an open‑weights model that merges a 1 million‑token context window, frontier coding, agentic abilities, and native multimodal (image/video) support, with benchmark scores highlighted and a 50 % discount for the first week; the model appears automatically in the Hermes Agent picker and credits the Teknium and Nous teams. OpenRouter – Announces that MiniMax‑M3 is now available on its platform, offering the same 1 M‑token context, frontier coding, agentic performance, and multimodal capabilities. Visual Studio Code – Promotes its new VS Code Learn Series episode “Extending Agents,” which teaches how to use tools, agent plugins, and third‑party agents within the editor.
