GLM-5.2 is the latest large language model from Z.ai, becoming the third major release in the GLM-5 line. It follows GLM-5 (February 11), GLM-5-Turbo (March 15), and GLM-5.1 (April 7). That makes four flagship-tier coding releases in roughly four months.
Usable 1M-Token Context Window
GLM-5.2’s standout spec is a 1,000,000-token context window. Z.ai labels the variant glm-5.2[1m] in its own configuration. Each response can return up to 131,072 output tokens. That is roughly a 5x jump from GLM-5.1’s 200,000-token window.
glm-5.2[1m]
A 1M-token window changes how a coding agent works in practice. The agent can hold an entire mid-sized repository in working memory. That includes source files, tests, configuration, and conversation history. It avoids the constant summarization that smaller windows force.
The release also adds two thinking-effort levels: High and Max. Z.ai recommends Max effort for complex, multi-step coding work. In Claude Code, the /effort command controls this setting. The xhigh, max, and ultracode options all map to GLM-5.2’s Max effort.
/effort
Architecture and What Changed
Z.ai did not specify GLM-5.2’s architecture in its launch materials. But based on community notes, the GLM-5 base is a 744-billion-parameter Mixture-of-Experts model. It activates 40 billion parameters per token. GLM-5.1 kept that same backbone with retargeted post-training.
MTP Explainer Playground
Interactive Demo
GLM-5.2 Setup Generator & Context Visualizer
Pick your agent and effort mode. Copy the exact config. See what 1M tokens buys you.
GLM-5.2 is the latest large language model from Z.ai, becoming the third major release in the GLM-5 line. It follows GLM-5 (February 11), GLM-5-Turbo (March 15), and GLM-5.1 (April 7). That makes four flagship-tier coding releases in roughly four months.
Usable 1M-Token Context Window
Context window
Thinking effort
Your config
Context window: GLM-5.1 vs GLM-5.2
GLM-5.2 at a glance
The Benchmark Question
Here is the important caveat. Z.ai published no benchmark scores for GLM-5.2 at launch. There is no SWE-bench, Terminal-Bench, or Code Arena number yet. The announcement focused on availability, context, and the open-source roadmap.
Specification Comparison: GLM-5.2 vs GLM-5.1
AttributeGLM-5.2GLM-5.1ReleasedJune 13, 2026April 7, 2026Context window1,000,000 tokens (glm-5.2[1m])~200,000 tokensMax output tokens131,072Not disclosedReasoning modesHigh, MaxSingle modeArchitectureNot specified at launch (GLM-5 lineage)744B MoE, 40B activeLicenseMIT (weights pending next week)MIT (open weights released)Launch benchmarksNone published58.4 SWE-bench ProAccess at launchGLM Coding Plan (all tiers)Coding Plan, API, and weights
glm-5.2[1m]
Use Cases With Examples
Whole-repository refactors: Load a mid-sized repo into one context window. The agent tracks cross-file dependencies without re-fetching. Example: refactor a 40-file Python data pipeline in a single session.
Long-horizon agent runs: GLM-5.2 targets sustained plan, execute, test, fix loops. GLM-5.1 sustained roughly 1,700 agent steps in one session. It ran autonomous loops for up to eight hours. GLM-5.2 inherits that trajectory, though its own numbers are pending.
Drop-in Claude Code replacement: Swap the base URL and model identifier only. Keep your existing agent harness and workflow. This matters when frontier API access is disrupted.
Large-document analysis: Feed long specs, logs, or transcripts past 200K tokens. The 1M window holds material that smaller models truncate.
How to Set Up GLM-5.2
For Claude Code, edit ~/.claude/settings.json. Point the Sonnet and Opus slots at the 1M variant. Raise the auto-compact window so the agent uses the full context.
Then run /effort in a session and select max. Run /status to confirm GLM-5.2 is active. For Cline, choose the OpenAI Compatible provider. Set the base URL to https://api.z.ai/api/coding/paas/v4. Enter the custom model glm-5.2 and set context to 1,000,000.
/effort
max
/status
https://api.z.ai/api/coding/paas/v4
glm-5.2
GLM-5.2 is compatible with eight agentic coding tools from day one. The list includes Claude Code, Cline, OpenCode, and OpenClaw.
Key Takeaways
Z.ai shipped GLM-5.2 on June 13, 2026, live immediately across all GLM Coding Plan tiers (Lite, Pro, Max, Team).
1M-token context window (glm-5.2[1m]) with up to 131,072 output tokens.
glm-5.2[1m]
No benchmarks were published at launch
It drops into Claude Code, Cline, and OpenClaw via an Anthropic-compatible endpoint with just a base-URL and model swap.
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.https://t.co/aOKcqZD5EJAs our new flagship model, GLM-5.2 delivers…— Z.ai (@Zai_org) June 13, 2026
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.https://t.co/aOKcqZD5EJAs our new flagship model, GLM-5.2 delivers…
Check out the Technical details. Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.
Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us
Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.
Michal SutterClaude Code Guide 2026: 25 Features with Examples + Demo
Michal SutterPerplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards
Michal SutterxAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch
Michal SutterNous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow
Michal SutterTop AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared
Michal SutterGoogle Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries
Michal SutterBest 21 Low-Code and No-Code AI Tools in 2026
Michal SutterMoonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents
Michal SutterPerplexity AI Introduces Hybrid Local-Server Inference Orchestrator for Personal Computer: Automatic On-Device and Cloud Task Routing
Michal SutterNous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output
Michal SutterAlibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform
Michal SutterMeet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent
Michal SutterTrajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain
Michal SutterGenesis AI Releases Nyx, Quadrants, and Genesis World 1.0 Physics Platform for Scalable Robotics Foundation Model Evaluation
Michal SutterAnthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Michal SutterMeet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
Michal SutterMeet OmniVoice Studio: A Local, Open-Source Alternative to ElevenLabs
Michal SutterStepFun Releases StepAudio 2.5 Realtime: An End-to-End Voice Model with Roleplay-Specific RLHF and Paralinguistic Comprehension
Michal SutterTencent Open-Sources TencentDB Agent Memory: A 4-Tier Local Memory Pipeline for AI Agents
Michal SutterCohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
Michal SutterWhat is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026
Michal SutterGoogle Introduces Gemini 3.5 Flash at I/O 2026: A Faster and Cheaper Model for AI Agents and Coding
Michal SutterUpstash for Redis vs Supabase vs Neon: Which One Fits Vibe Coding Workflows in 2026?
Michal SutterGoogle Launches Antigravity 2.0 at I/O 2026: A Standalone Agent-First Platform with CLI, SDK, Managed Execution, and Enterprise Support
Michal SutterVercel Labs Introduces Zero, a Systems Programming Language Designed So AI Agents Can Read, Repair, and Ship Native Programs
Michal SutterEnterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
Michal SutterGoogle DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor
Michal SutterOpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation
Michal SutterBest Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Michal SutterOpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings
Michal SutterNVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
Michal SutterOpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters
Michal SutterGoogle Adds Event-Driven Webhooks to the Gemini API, Eliminating the Need for Polling in Long-Running AI Jobs
Michal SutterMicrosoft Research’s World-R1 Uses Flow-GRPO and 3D-Aware Rewards to Inject Geometric Consistency Into Wan 2.1 Without Architectural Changes
Michal SutterCursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing
Michal SutterTop 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
Michal Suttersmol-audio: A Colab-Friendly Notebook Collection for Fine-Tuning Whisper, Parakeet, Voxtral, Granite Speech, and Audio Flamingo 3
Michal SutterxAI Launches grok-voice-think-fast-1.0: Topping τ-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More
Michal SutterGoogle DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation
Michal SutterOpenAI Releases GPT-5.5, a Fully Retrained Agentic Model That Scores 82.7% on Terminal-Bench 2.0 and 84.9% on GDPval
Michal SutterNext Leap to Harness Engineering: JiuwenClaw Pioneers ‘Coordination Engineering’
Michal SutterOpenAI Scales Trusted Access for Cyber Defense With GPT-5.4-Cyber: a Fine-Tuned Model Built for Verified Security Defenders
Michal SutterxAI Launches Standalone Grok Speech-to-Text and Text-to-Speech APIs, Targeting Enterprise Voice Developers
Michal SutterA Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG
Michal SutterTop 19 AI Red Teaming Tools (2026): Secure Your ML Models
Michal SutterA Coding Guide to Build a Production-Grade Background Task Processing System Using Huey with SQLite, Scheduling, Retries, Pipelines, and Concurrency Control
Michal SutterGoogle AI Launches Gemini 3.1 Flash TTS: A New Benchmark in Expressive and Controllable AI Voice
Michal SutterA Coding Implementation of Crawl4AI for Web Crawling, Markdown Generation, JavaScript Execution, and LLM-Based Structured Extraction
Michal SutterGoogle AI Research Proposes Vantage: An LLM-Based Protocol for Measuring Collaboration, Creativity, and Critical Thinking
Michal SutterMeta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model
Michal SutterA Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction
Michal SutterAlibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
Michal SutterA Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim
Michal SutterA Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export
Michal SutterHow to Combine Google Search, Google Maps, and Custom Functions in a Single Gemini API Call With Context Circulation, Parallel Tool IDs, and Multi-Step Agentic Chains
Michal SutterHow to Deploy Open WebUI with Secure OpenAI API Integration, Public Tunneling, and Browser-Based Chat Access
Michal SutterNetflix AI Team Just Open-Sourced VOID: an AI Model That Erases Objects From Videos — Physics and All
Michal SutterGoogle DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts
Michal SutterHugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows
Michal SutterGoogle AI Releases Veo 3.1 Lite: Giving Developers Low Cost High Speed Video Generation via The Gemini API
Michal SutterAgent-Infra Releases AIO Sandbox: An All-in-One Runtime for AI Agents with Browser, Shell, Shared Filesystem, and MCP
Michal SutterGoogle-Agent vs Googlebot: Google Defines the Technical Boundary Between User Triggered AI Access and Search Crawling Systems Today
Michal SutterA Coding Guide to Exploring nanobot’s Full Agent Pipeline, from Wiring Up Tools and Memory to Skills, Subagents, and Cron Scheduling
Michal SutterAn Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal
Michal SutterMeta Releases TRIBE v2: A Brain Encoding Model That Predicts fMRI Responses Across Video, Audio, and Text Stimuli
Michal SutterTencent AI Open Sources Covo-Audio: A 7B Speech Language Model and Inference Pipeline for Real-Time Audio Conversations and Reasoning
Michal SutterA Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence
Michal SutterLuma Labs Launches Uni-1: The Autoregressive Transformer Model that Reasons through Intentions Before Generating Images
Michal SutterMeet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
Michal SutterA Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration
Michal SutterA Coding Implementation Showcasing ClawTeam’s Multi-Agent Swarm Orchestration with OpenAI Function Calling
Michal SutterA Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX
Michal SutterBaidu Qianfan Team Releases Qianfan-OCR: A 4B-Parameter Unified Document Intelligence Model
Michal SutterGoogle AI Releases WAXAL: A Multilingual African Speech Dataset for Training Automatic Speech Recognition and Text-to-Speech Models
Michal SutterLangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents
Michal SutterGoogle DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries
Michal SutterGoogle AI Introduces ‘Groundsource’: A New Methodology that Uses Gemini Model to Transform Unstructured Global News into Actionable, Historical Data
Michal SutterHow to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents
Michal SutterA Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation
Michal SutterHow to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows
Michal SutterGoogle Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades
Michal SutterOpenAI Introduces Codex Security in Research Preview for Context-Aware Vulnerability Detection, Validation, and Patch Generation Across Codebases
Michal SutterA Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing
Michal SutterHow to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation
Michal SutterMeet NullClaw: The 678 KB Zig AI Agent Framework Running on 1 MB RAM and Booting in Two Milliseconds
Michal SutterHow to Build an Explainable AI Analysis Pipeline Using SHAP-IQ to Understand Feature Importance, Interaction Effects, and Model Decision Breakdown
Michal SutterA Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment
Michal SutterA Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning
Michal SutterMicrosoft Research Introduces CORPGEN To Manage Multi Horizon Tasks For Autonomous AI Agents Using Hierarchical Planning and Memory
Michal SutterGoogle AI Just Released Nano-Banana 2: The New AI Model Featuring Advanced Subject Consistency and Sub-Second 4K Image Synthesis Performance
Michal SutterHow to Build an Elastic Vector Database with Consistent Hashing, Sharding, and Live Ring Visualization for RAG Systems
Michal SutterBeyond Simple API Requests: How OpenAI’s WebSocket Mode Changes the Game for Low Latency Voice Powered AI Experiences
Michal SutterVectifyAI Launches Mafin 2.5 and PageIndex: Achieving 98.7% Financial RAG Accuracy with a New Open-Source Vectorless Tree Indexing.
Michal SutterA Coding Guide to Instrumenting, Tracing, and Evaluating LLM Applications Using TruLens and OpenAI Models
Michal SutterHow to Build Transparent AI Agents: Traceable Decision-Making with Audit Trails and Human Gates
Michal Sutter[Tutorial] Building a Visual Document Retrieval Pipeline with ColPali and Late Interaction Scoring
Michal SutterGoogle Introduces Jetpack Compose Glimmer: A New Spatial UI Framework Designed Specifically for the Next Generation of AI Glasses
Michal SutterAgoda Open Sources APIAgent to Convert Any REST pr GraphQL API into an MCP Server with Zero Code
Michal SutterHow to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit
Michal SutterGoogle DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies
Michal SutterMoonshot AI Launches Kimi Claw: Native OpenClaw on Kimi.com with 5,000 Community Skills and 40GB Cloud Storage Now
Michal SutterMeet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB VRAM with Voice Cloning Support
Michal SutterGoogle AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents
Michal Sutter[In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data
Michal SutterIs This AGI? Google’s Gemini 3 Deep Think Shatters Humanity’s Last Exam And Hits 84.6% On ARC-AGI-2 Performance Today
Michal SutterMeet OAT: The New Action Tokenizer Bringing LLM-Style Scaling and Flexible, Anytime Inference to the Robotics World
Michal SutterWaymo Introduces the Waymo World Model: A New Frontier Simulator Model for Autonomous Driving and Built on Top of Genie 3
Michal SutterMistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
Michal SutterGoogle Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding
Michal SutterGoogle Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows
Michal SutterMicrosoft Unveils Maia 200, An FP4 and FP8 Optimized AI Inference Accelerator for Azure Datacenters
Michal SutterDeepSeek AI Releases DeepSeek-OCR 2 with Causal Visual Flow Encoder for Layout Aware Document Understanding
Michal SutterAlibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads
Michal SutterTencent Hunyuan Releases HPC-Ops: A High Performance LLM Inference Operator Library
Michal SutterDSGym Offers a Reusable Container Based Substrate for Building and Benchmarking Data Science Agents
Michal SutterWhat is Clawdbot? How a Local First Agent Stack Turns Chats into Real Automations
Michal SutterGitHub Releases Copilot-SDK to Embed Its Agentic Runtime in Any App
Michal SutterSalesforce AI Introduces FOFPred: A Language-Driven Future Optical Flow Prediction Framework that Enables Improved Robot Control and Video Generation
Michal SutterZhipu AI Releases GLM-4.7-Flash: A 30B-A3B MoE Model for Efficient Local Coding and Agents
Michal SutterA Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and Event-Driven Architectures
Michal SutterVercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rules
Michal SutterBlack Forest Labs Releases FLUX.2 [klein]: Compact Flow Models for Interactive Visual Intelligence
Michal SutterMeet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit
Michal SutterA Coding Implementation to Build a Unified Apache Beam Pipeline Demonstrating Batch and Stream Processing with Event-Time Windowing Using DirectRunner
Michal SutterTencent Researchers Release Tencent HY-MT1.5: A New Translation Models Featuring 1.8B and 7B Models Designed for Seamless on-Device and Cloud Deployment
GLM-5.2’s standout spec is a 1,000,000-token context window. Z.ai labels the variant glm-5.2[1m] in its own configuration. Each response can return up to 131,072 output tokens. That is roughly a 5x jump from GLM-5.1’s 200,000-token window.
glm-5.2[1m]
A 1M-token window changes how a coding agent works in practice. The agent can hold an entire mid-sized repository in working memory. That includes source files, tests, configuration, and conversation history. It avoids the constant summarization that smaller windows force.
The release also adds two thinking-effort levels: High and Max. Z.ai recommends Max effort for complex, multi-step coding work. In Claude Code, the /effort command controls this setting. The xhigh, max, and ultracode options all map to GLM-5.2’s Max effort.
/effort
Architecture and What Changed
Z.ai did not specify GLM-5.2’s architecture in its launch materials. But based on community notes, the GLM-5 base is a 744-billion-parameter Mixture-of-Experts model. It activates 40 billion parameters per token. GLM-5.1 kept that same backbone with retargeted post-training.
MTP Explainer Playground
Interactive Demo
GLM-5.2 Setup Generator & Context Visualizer
Pick your agent and effort mode. Copy the exact config. See what 1M tokens buys you.
Coding agent
Context window
Thinking effort
Your config
Context window: GLM-5.1 vs GLM-5.2
GLM-5.2 at a glance
The Benchmark Question
Here is the important caveat. Z.ai published no benchmark scores for GLM-5.2 at launch. There is no SWE-bench, Terminal-Bench, or Code Arena number yet. The announcement focused on availability, context, and the open-source roadmap.
Specification Comparison: GLM-5.2 vs GLM-5.1
AttributeGLM-5.2GLM-5.1ReleasedJune 13, 2026April 7, 2026Context window1,000,000 tokens (glm-5.2[1m])~200,000 tokensMax output tokens131,072Not disclosedReasoning modesHigh, MaxSingle modeArchitectureNot specified at launch (GLM-5 lineage)744B MoE, 40B activeLicenseMIT (weights pending next week)MIT (open weights released)Launch benchmarksNone published58.4 SWE-bench ProAccess at launchGLM Coding Plan (all tiers)Coding Plan, API, and weights
glm-5.2[1m]
Use Cases With Examples
Whole-repository refactors: Load a mid-sized repo into one context window. The agent tracks cross-file dependencies without re-fetching. Example: refactor a 40-file Python data pipeline in a single session.
Long-horizon agent runs: GLM-5.2 targets sustained plan, execute, test, fix loops. GLM-5.1 sustained roughly 1,700 agent steps in one session. It ran autonomous loops for up to eight hours. GLM-5.2 inherits that trajectory, though its own numbers are pending.
Drop-in Claude Code replacement: Swap the base URL and model identifier only. Keep your existing agent harness and workflow. This matters when frontier API access is disrupted.
Large-document analysis: Feed long specs, logs, or transcripts past 200K tokens. The 1M window holds material that smaller models truncate.
How to Set Up GLM-5.2
For Claude Code, edit ~/.claude/settings.json. Point the Sonnet and Opus slots at the 1M variant. Raise the auto-compact window so the agent uses the full context.
Then run /effort in a session and select max. Run /status to confirm GLM-5.2 is active. For Cline, choose the OpenAI Compatible provider. Set the base URL to https://api.z.ai/api/coding/paas/v4. Enter the custom model glm-5.2 and set context to 1,000,000.
/effort
max
/status
https://api.z.ai/api/coding/paas/v4
glm-5.2
GLM-5.2 is compatible with eight agentic coding tools from day one. The list includes Claude Code, Cline, OpenCode, and OpenClaw.
Key Takeaways
Z.ai shipped GLM-5.2 on June 13, 2026, live immediately across all GLM Coding Plan tiers (Lite, Pro, Max, Team).
1M-token context window (glm-5.2[1m]) with up to 131,072 output tokens.
glm-5.2[1m]
No benchmarks were published at launch
It drops into Claude Code, Cline, and OpenClaw via an Anthropic-compatible endpoint with just a base-URL and model swap.
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.https://t.co/aOKcqZD5EJAs our new flagship model, GLM-5.2 delivers…— Z.ai (@Zai_org) June 13, 2026
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.https://t.co/aOKcqZD5EJAs our new flagship model, GLM-5.2 delivers…
Check out the Technical details. Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter. Wait! are you on telegram? now you can join us on telegram as well.
Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us
Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.
Michal SutterClaude Code Guide 2026: 25 Features with Examples + Demo
Michal SutterPerplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards
Michal SutterxAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch
Michal SutterNous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow
Michal SutterTop AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared
Michal SutterGoogle Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries
Michal SutterBest 21 Low-Code and No-Code AI Tools in 2026
Michal SutterMoonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents
Michal SutterPerplexity AI Introduces Hybrid Local-Server Inference Orchestrator for Personal Computer: Automatic On-Device and Cloud Task Routing
Michal SutterNous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output
Michal SutterAlibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platform
Michal SutterMeet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent
Michal SutterTrajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain
Michal SutterGenesis AI Releases Nyx, Quadrants, and Genesis World 1.0 Physics Platform for Scalable Robotics Foundation Model Evaluation
Michal SutterAnthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Michal SutterMeet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
Michal SutterMeet OmniVoice Studio: A Local, Open-Source Alternative to ElevenLabs
Michal SutterStepFun Releases StepAudio 2.5 Realtime: An End-to-End Voice Model with Roleplay-Specific RLHF and Paralinguistic Comprehension
Michal SutterTencent Open-Sources TencentDB Agent Memory: A 4-Tier Local Memory Pipeline for AI Agents
Michal SutterCohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs
Michal SutterWhat is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026
Michal SutterGoogle Introduces Gemini 3.5 Flash at I/O 2026: A Faster and Cheaper Model for AI Agents and Coding
Michal SutterUpstash for Redis vs Supabase vs Neon: Which One Fits Vibe Coding Workflows in 2026?
Michal SutterGoogle Launches Antigravity 2.0 at I/O 2026: A Standalone Agent-First Platform with CLI, SDK, Managed Execution, and Enterprise Support
Michal SutterVercel Labs Introduces Zero, a Systems Programming Language Designed So AI Agents Can Read, Repair, and Ship Native Programs
Michal SutterEnterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
Michal SutterGoogle DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor
Michal SutterOpenAI Introduces Daybreak: A Cybersecurity Initiative That Puts Codex Security at the Center of Vulnerability Detection and Patch Validation
Michal SutterBest Vector Databases in 2026: Pricing, Scale Limits, and Architecture Tradeoffs Across Nine Leading Systems
Michal SutterOpenClaw vs Hermes Agent: Why Nous Research’s Self-Improving Agent Now Leads OpenRouter’s Global Rankings
Michal SutterNVIDIA AI Just Released cuda-oxide: An Experimental Rust-to-CUDA Compiler Backend that Compiles SIMT GPU Kernels Directly to PTX
Michal SutterOpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters
Michal SutterGoogle Adds Event-Driven Webhooks to the Gemini API, Eliminating the Need for Polling in Long-Running AI Jobs
Michal SutterMicrosoft Research’s World-R1 Uses Flow-GRPO and 3D-Aware Rewards to Inject Geometric Consistency Into Wan 2.1 Without Architectural Changes
Michal SutterCursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing
Michal SutterTop 10 KV Cache Compression Techniques for LLM Inference: Reducing Memory Overhead Across Eviction, Quantization, and Low-Rank Methods
Michal Suttersmol-audio: A Colab-Friendly Notebook Collection for Fine-Tuning Whisper, Parakeet, Voxtral, Granite Speech, and Audio Flamingo 3
Michal SutterxAI Launches grok-voice-think-fast-1.0: Topping τ-voice Bench at 67.3%, Outperforming Gemini, GPT Realtime, and More
Michal SutterGoogle DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation
Michal SutterOpenAI Releases GPT-5.5, a Fully Retrained Agentic Model That Scores 82.7% on Terminal-Bench 2.0 and 84.9% on GDPval
Michal SutterNext Leap to Harness Engineering: JiuwenClaw Pioneers ‘Coordination Engineering’
Michal SutterOpenAI Scales Trusted Access for Cyber Defense With GPT-5.4-Cyber: a Fine-Tuned Model Built for Verified Security Defenders
Michal SutterxAI Launches Standalone Grok Speech-to-Text and Text-to-Speech APIs, Targeting Enterprise Voice Developers
Michal SutterA Coding Tutorial for Running PrismML Bonsai 1-Bit LLM on CUDA with GGUF, Benchmarking, Chat, JSON, and RAG
Michal SutterTop 19 AI Red Teaming Tools (2026): Secure Your ML Models
Michal SutterA Coding Guide to Build a Production-Grade Background Task Processing System Using Huey with SQLite, Scheduling, Retries, Pipelines, and Concurrency Control
Michal SutterGoogle AI Launches Gemini 3.1 Flash TTS: A New Benchmark in Expressive and Controllable AI Voice
Michal SutterA Coding Implementation of Crawl4AI for Web Crawling, Markdown Generation, JavaScript Execution, and LLM-Based Structured Extraction
Michal SutterGoogle AI Research Proposes Vantage: An LLM-Based Protocol for Measuring Collaboration, Creativity, and Critical Thinking
Michal SutterMeta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model
Michal SutterA Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction
Michal SutterAlibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
Michal SutterA Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim
Michal SutterA Comprehensive Implementation Guide to ModelScope for Model Search, Inference, Fine-Tuning, Evaluation, and Export
Michal SutterHow to Combine Google Search, Google Maps, and Custom Functions in a Single Gemini API Call With Context Circulation, Parallel Tool IDs, and Multi-Step Agentic Chains
Michal SutterHow to Deploy Open WebUI with Secure OpenAI API Integration, Public Tunneling, and Browser-Based Chat Access
Michal SutterNetflix AI Team Just Open-Sourced VOID: an AI Model That Erases Objects From Videos — Physics and All
Michal SutterGoogle DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts
Michal SutterHugging Face Releases TRL v1.0: A Unified Post-Training Stack for SFT, Reward Modeling, DPO, and GRPO Workflows
Michal SutterGoogle AI Releases Veo 3.1 Lite: Giving Developers Low Cost High Speed Video Generation via The Gemini API
Michal SutterAgent-Infra Releases AIO Sandbox: An All-in-One Runtime for AI Agents with Browser, Shell, Shared Filesystem, and MCP
Michal SutterGoogle-Agent vs Googlebot: Google Defines the Technical Boundary Between User Triggered AI Access and Search Crawling Systems Today
Michal SutterA Coding Guide to Exploring nanobot’s Full Agent Pipeline, from Wiring Up Tools and Memory to Skills, Subagents, and Cron Scheduling
Michal SutterAn Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal
Michal SutterMeta Releases TRIBE v2: A Brain Encoding Model That Predicts fMRI Responses Across Video, Audio, and Text Stimuli
Michal SutterTencent AI Open Sources Covo-Audio: A 7B Speech Language Model and Inference Pipeline for Real-Time Audio Conversations and Reasoning
Michal SutterA Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence
Michal SutterLuma Labs Launches Uni-1: The Autoregressive Transformer Model that Reasons through Intentions Before Generating Images
Michal SutterMeet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
Michal SutterA Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration
Michal SutterA Coding Implementation Showcasing ClawTeam’s Multi-Agent Swarm Orchestration with OpenAI Function Calling
Michal SutterA Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX
Michal SutterBaidu Qianfan Team Releases Qianfan-OCR: A 4B-Parameter Unified Document Intelligence Model
Michal SutterGoogle AI Releases WAXAL: A Multilingual African Speech Dataset for Training Automatic Speech Recognition and Text-to-Speech Models
Michal SutterLangChain Releases Deep Agents: A Structured Runtime for Planning, Memory, and Context Isolation in Multi-Step AI Agents
Michal SutterGoogle DeepMind Introduces Aletheia: The AI Agent Moving from Math Competitions to Fully Autonomous Professional Research Discoveries
Michal SutterGoogle AI Introduces ‘Groundsource’: A New Methodology that Uses Gemini Model to Transform Unstructured Global News into Actionable, Historical Data
Michal SutterHow to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents
Michal SutterA Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation
Michal SutterHow to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows
Michal SutterGoogle Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades
Michal SutterOpenAI Introduces Codex Security in Research Preview for Context-Aware Vulnerability Detection, Validation, and Patch Generation Across Codebases
Michal SutterA Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing
Michal SutterHow to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation
Michal SutterMeet NullClaw: The 678 KB Zig AI Agent Framework Running on 1 MB RAM and Booting in Two Milliseconds
Michal SutterHow to Build an Explainable AI Analysis Pipeline Using SHAP-IQ to Understand Feature Importance, Interaction Effects, and Model Decision Breakdown
Michal SutterA Complete End-to-End Coding Guide to MLflow Experiment Tracking, Hyperparameter Optimization, Model Evaluation, and Live Model Deployment
Michal SutterA Coding Implementation to Build a Hierarchical Planner AI Agent Using Open-Source LLMs with Tool Execution and Structured Multi-Agent Reasoning
Michal SutterMicrosoft Research Introduces CORPGEN To Manage Multi Horizon Tasks For Autonomous AI Agents Using Hierarchical Planning and Memory
Michal SutterGoogle AI Just Released Nano-Banana 2: The New AI Model Featuring Advanced Subject Consistency and Sub-Second 4K Image Synthesis Performance
Michal SutterHow to Build an Elastic Vector Database with Consistent Hashing, Sharding, and Live Ring Visualization for RAG Systems
Michal SutterBeyond Simple API Requests: How OpenAI’s WebSocket Mode Changes the Game for Low Latency Voice Powered AI Experiences
Michal SutterVectifyAI Launches Mafin 2.5 and PageIndex: Achieving 98.7% Financial RAG Accuracy with a New Open-Source Vectorless Tree Indexing.
Michal SutterA Coding Guide to Instrumenting, Tracing, and Evaluating LLM Applications Using TruLens and OpenAI Models
Michal SutterHow to Build Transparent AI Agents: Traceable Decision-Making with Audit Trails and Human Gates
Michal Sutter[Tutorial] Building a Visual Document Retrieval Pipeline with ColPali and Late Interaction Scoring
Michal SutterGoogle Introduces Jetpack Compose Glimmer: A New Spatial UI Framework Designed Specifically for the Next Generation of AI Glasses
Michal SutterAgoda Open Sources APIAgent to Convert Any REST pr GraphQL API into an MCP Server with Zero Code
Michal SutterHow to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit
Michal SutterGoogle DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies
Michal SutterMoonshot AI Launches Kimi Claw: Native OpenClaw on Kimi.com with 5,000 Community Skills and 40GB Cloud Storage Now
Michal SutterMeet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB VRAM with Voice Cloning Support
Michal SutterGoogle AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents
Michal Sutter[In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data
Michal SutterIs This AGI? Google’s Gemini 3 Deep Think Shatters Humanity’s Last Exam And Hits 84.6% On ARC-AGI-2 Performance Today
Michal SutterMeet OAT: The New Action Tokenizer Bringing LLM-Style Scaling and Flexible, Anytime Inference to the Robotics World
Michal SutterWaymo Introduces the Waymo World Model: A New Frontier Simulator Model for Autonomous Driving and Built on Top of Genie 3
Michal SutterMistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
Michal SutterGoogle Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding
Michal SutterGoogle Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows
Michal SutterMicrosoft Unveils Maia 200, An FP4 and FP8 Optimized AI Inference Accelerator for Azure Datacenters
Michal SutterDeepSeek AI Releases DeepSeek-OCR 2 with Causal Visual Flow Encoder for Layout Aware Document Understanding
Michal SutterAlibaba Introduces Qwen3-Max-Thinking, a Test Time Scaled Reasoning Model with Native Tool Use Powering Agentic Workloads
Michal SutterTencent Hunyuan Releases HPC-Ops: A High Performance LLM Inference Operator Library
Michal SutterDSGym Offers a Reusable Container Based Substrate for Building and Benchmarking Data Science Agents
Michal SutterWhat is Clawdbot? How a Local First Agent Stack Turns Chats into Real Automations
Michal SutterGitHub Releases Copilot-SDK to Embed Its Agentic Runtime in Any App
Michal SutterSalesforce AI Introduces FOFPred: A Language-Driven Future Optical Flow Prediction Framework that Enables Improved Robot Control and Video Generation
Michal SutterZhipu AI Releases GLM-4.7-Flash: A 30B-A3B MoE Model for Efficient Local Coding and Agents
Michal SutterA Coding Guide to Understanding How Retries Trigger Failure Cascades in RPC and Event-Driven Architectures
Michal SutterVercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rules
Michal SutterBlack Forest Labs Releases FLUX.2 [klein]: Compact Flow Models for Interactive Visual Intelligence
Michal SutterMeet SETA: Open Source Training Reinforcement Learning Environments for Terminal Agents with 400 Tasks and CAMEL Toolkit
Michal SutterA Coding Implementation to Build a Unified Apache Beam Pipeline Demonstrating Batch and Stream Processing with Event-Time Windowing Using DirectRunner
Michal SutterTencent Researchers Release Tencent HY-MT1.5: A New Translation Models Featuring 1.8B and 7B Models Designed for Seamless on-Device and Cloud Deployment