Z.ai

Z.ai's first natively multimodal model in the GLM-5 series (image, video, and file input; text output) and its first GLM-5 model built on a newly trai…

Z.ai's agentic coding and cybersecurity successor to GLM-5.2. It uses the same base model — a 744B MoE (40B active) with a 1M-token context &mda…

"Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning" — the RL recipe behind GLM-5.2 (750B-A40B). From Tsinghua authors…

Zhipu / Z.ai's flagship coding-first agentic model and successor to GLM-5.1 — a 744B MoE (40B active; ~753B by safetensors count) with DeepSeek Sparse…

744B-parameter MoE (40B active) on the GLM-5 base (~754B by safetensors count), built for long-horizon agentic engineering. Designed to sustain optimi…

Z.ai's first native multimodal agent foundation model, built for vision-based coding and agentic workflows. Natively processes images, videos, design…

The sparse-attention efficiency technique behind GLM-5.2 (productized there as IndexShare; the paper calls it IndexCache). DeepSeek Sparse Attention (…

Most powerful Z.ai model family. GLM-5 is 744B total params (40B active) via MoE with 256 experts. Hybrid Attention and Multi-Token Prediction. First…

Introduced the training method that reduced GLM-5's hallucination rate by 35%.

Z.ai's compact document model, backfilled here: a 0.9B multimodal model pairing a 0.4B CogViT visual encoder with a 0.5B GLM language decoder for real…

100,000 complex multi-step reasoning trajectories used to train the GLM-5 "Thinking" mode.

Optimized for long-horizon planning and reducing hallucination.

Released with MIT License. 355B MoE model, premier open-weight choice for enterprise self-hosting. AA Intelligence Index v4.3: 19 in reasoning mode (1…

Open-source vision-language model (106B total, 12B active via MoE). Supports 64K tokens for multi-image and video inputs. SOTA on 42 public VL benchma…

First "Z.ai" branded release. 355B Mixture-of-Experts model designed for Agentic Engineering. Claimed to be cheaper to use than DeepSeek.

Benchmark for evaluating an agent's ability to browse the web and synthesize diverse sources.

Latest text-to-image generator, capable of cinematic detail and accurate text rendering within images. Utilizes a Diffusion Transformer (DiT) architec…

Benchmark for evaluating multi-step and constrained function calling under long-context scenarios. Tests LLM tool-use capabilities with complex, real-…

Intelligent and human-like end-to-end spoken chatbot.

"Computer-Use" agent capable of navigating smartphone apps and web browsers via natural language commands.

Next-generation vision-language model. CogVLM2-Video introduced multi-frame time localization for precise video understanding.

Text-to-video diffusion model with expert transformer architecture.

Native multimodal version of the GLM-4 architecture.

Theoretical analysis of emergent abilities in language models through the lens of pre-training loss, providing a unified framework for understanding w…

Introduces "Relay Diffusion," a strategy that breaks image generation into a low-resolution stage followed by a super-resolution process. CogView3 out…

Major flagship upgrade featuring "All Tools" integration (web search, code interpreter, and vision).

Self-reflective instruction annotated dataset for training scientific language models. Introduces SciInstruct for math, physics, and chemistry reasoni…

Powerful vision-language model using visual expert modules within pretrained language models.

Comprehensive benchmark for long-context understanding in LLMs.

Iterative improvements over ChatGLM-6B in context length, tool use, and reasoning. ChatGLM2 released June 2023, ChatGLM3 released Oct 2023.

Web-enhanced question answering system with human preferences. Combines web search, LLM-based filtering, and answer generation with human preference a…

High-efficiency open-source conversational model that sparked a wave of local LLM deployment in China.

Dedicated series for software engineering (versions 1-4), now fully integrated into AutoGLM for autonomous repository management.

Landmark bilingual (English/Chinese) model among the first in China to rival GPT-3.

A hierarchical transformer-based text-to-image model (6B parameters) that introduced the Cross-modal General Language Model (CogLM) and Local Parallel…

The first large-scale generative model for text-to-image synthesis in the general domain for Chinese. CogView is a 4-billion-parameter Transformer usi…

The GLM paper (ACL 2022) is a seminal work that unified the three major pretraining paradigms — autoencoding (BERT), autoregressive (GPT), and e…

Prompt tuning methods for pre-trained language models. P-Tuning v1 ("GPT Understands, Too") introduced trainable continuous prompts. P-Tuning v2 showe…