ZAI just open-sourced the full model weights for GLM-5.3 on Hugging Face, packing 753 billion parameters focused on heavy coding and complex agent workflows. It uses the same base model as GLM-5.2, squeezing every performance gain out of pure post-training to rival top commercial models. Community-quantized GGUF versions are already out for local multi-GPU setups.
Z.ai just launched GLM-5.3-Flash, a 320B-parameter multimodal model that activates just 18B parameters and costs $0.045 per task—about a tenth of comparable alternatives. It crushes GLM-5.2 on coding and agentic benchmarks to near Claude Opus 4.8 levels, all while running entirely on Chinese AI silicon.
A stealth reasoning model dubbed Ox Alpha just dropped for free on OpenRouter, sending AI circles into a frenzy over who actually built it. Designed for heavy coding and sustained agentic workloads, the model earned high praise from Stripe CEO Patrick Collison. Theories on its origin currently point to Chinese lab Z.ai or Microsoft's unreleased MAI.
Z.ai just launched its GLM-5.3 API, custom-built for coding, defensive cybersecurity, and long-horizon agentic tasks. Best of all, it keeps the exact same pricing as GLM-5.2, meaning developers can upgrade their automated workflows with zero extra cost. It is available right now via Z.ai's official API and partner model gateways.
Z.ai just released GLM-5.3, a coding-focused model that achieves open-weights SOTA on Terminal Bench 3.0 and Agents' Last Exam purely through post-training scaling. Unexpectedly, the model more than doubled its cyber exploitation scores, uncovering 2,436 real-world vulnerabilities dating back up to 40 years. Model weights will drop in two weeks after a safety review.
Z.ai just rolled out ZCode 3.2.2, a dedicated coding IDE built specifically around its GLM-5.2 model for macOS, Windows, and Linux. The tool packs multi-agent collaboration, long-running agentic goals, and remote controls via WeChat and Telegram, starting at $16.20 a month. It is an aggressive, lower-cost shot at Claude Code and Cursor.
Z.ai just introduced GLM-5.2, an open-source flagship model built for long-horizon coding tasks with a reliable 1M-token context. Powered by its new IndexShare architecture, it cuts per-token FLOPs by 2.9x at full context, edging past GPT-5.5 on FrontierSWE while remaining fully accessible under an MIT license.
ZAI just open-sourced SCAIL-2, an end-to-end character animation model that transfers complex motion without relying on ambiguous skeleton maps. It handles intense multi-character combat and can even map human dancing onto flamingos or stylized cartoons. The catch: the full weights clock in at 81GB, so consumer GPUs will likely need to wait for quantized builds.
Z.ai just released GLM-5.1, an open-source flagship coding model licensed under MIT that scored 58.4 on SWE-Bench Pro, edging out GPT-5.4 and Claude Opus 4.6. Designed for complex long-horizon tasks, it maintains steady performance gains over hundreds of iterations and thousands of tool calls. Open-source agentic coding is officially competing at the very frontier.
Z.ai just launched GLM-5, scaling to 744B parameters (40B active) on a 28.5T-token corpus for complex systems engineering and long-horizon tasks. It incorporates DeepSeek Sparse Attention to cut serving costs and introduces an asynchronous RL framework called slime. The goal is to move beyond superficial vibe coding into persistent agentic workflows.
Z.ai just released GLM-Image on Hugging Face, a generative model powered by a hybrid autoregressive and diffusion decoder architecture. It handles text-to-image workflows in a single model and reached a 91.2% word accuracy score on the CVTG-2K benchmark, beating Seedream 4.5 and GPT Image 1.
Z.ai just partnered with Alibaba Cloud to roll out a free general-purpose AI agent across Android, iOS, and the web. The assistant handles everyday errands like ordering food and booking reservations directly on your device, powered by Alibaba Cloud's deployment platform.
Z.ai just introduced its new flagship MoE models, GLM-4.5 and GLM-4.5-Air, prioritizing depth over width to enhance reasoning and autonomous agent capabilities. GLM-4.5 features 355B total parameters with only 32B active, launching with day-one support on SGLang alongside FP8 variants. Why it matters: it hits a 90.6% tool-calling success rate and outpaces Claude 4 Opus on web browsing, making it a formidable foundation for autonomous workflows.
