17 deployments dated June 15 to 21, 2026 are in The Deploy Log: 2 leads, 6 in Models and APIs, 6 in Tools and products, 1 in Robotics, hardware and chips and 2 in Breakthroughs, from 6 publishers. They include ChatGPT Enterprise spend controls from OpenAI, GLM-5.2 from Hugging Face, Deployment Simulation from OpenAI, LifeSciBench from OpenAI, OpenAI Partner Network from OpenAI and 12 others. Every item sourced to the publisher's own page.
Credit usage analytics and updated spend controls are available today in the Global Admin Console. Admins can track usage trends, identify top users, break down credit spend by user, product, and model, set default workspace limits, configure group limits, and create individual overrides.
GLM-5.2 is an MIT-licensed open-source model with a 1M-token context. It scores 81.0 on Terminal-Bench 2.1 and 62.1 on SWE-bench Pro, and is the highest-ranked open-source model on FrontierSWE, PostTrainBench, and SWE-Marathon.
OpenAI's Deployment Simulation replays previous conversations with candidate models and achieved a median multiplicative error of 1.5x in predicting deployment-time undesired behavior rates across GPT-5-series Thinking deployments.
LifeSciBench includes 750 expert-authored tasks spanning seven workflows and seven biological domains, with 19,020 rubric criteria and 453 expert reviewers.
OpenAI o3 Deep Research reanalyzed 376 previously unsolved rare disease cases and surfaced leads that led to 18 diagnoses, an additional diagnostic yield of 4.8%.
Auth0 is now available on the Vercel Marketplace with automatic provisioning, Next.js SDK support, and configuration sync across Development, Preview, and Production environments.
Vercel Functions on Node.js and Python runtimes now support execution durations up to 30 minutes for Pro and Enterprise teams, more than 2x the previous 800 second limit.
Workflow SDK 5 beta supports AbortController and AbortSignal across workflow and step boundaries, with signals staying durable across suspensions and deterministic replay.
Strands Robots is an Apache 2.0 SDK from AWS that exposes robot abstractions, simulation, and the LeRobot stack as AgentTools, with sim and hardware datasets sharing the same on-disk format.
MolmoMotion forecasts 3D point trajectories from video, instructions, and query points, and a control policy built on it succeeds on 76.3% of pick-and-place tasks versus 56.0% for Molmo 2.