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Z.ai

GLM-5.2

Builds websites, creates presentation slides, and analyzes data using GLM-5 and GLM-4.7 models to provide chat-based assistance and information.

Reviewed by ToolWorthy Editors·updated 2 months ago·GLM-5.2 released 1 month ago

Pricing:From $18/mo
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Z.ai chat interface showing GLM-5 powered AI assistant with agent mode, code generation, and document creation capabilities

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Pros & Cons

Pros

  • Generous free tier with unlimited basic conversations
  • Exceptionally affordable coding plans starting at $3/month
  • Major models available under MIT License allow self-hosting and fine-tuning
  • Strong benchmark performance rivaling frontier closed-source models
  • Native bilingual support for English and Chinese without plugins
  • Low hallucination rates backed by independent benchmarks

Cons

  • Smaller plugin and integration ecosystem compared to ChatGPT
  • Some features lack the polish of more established platforms
  • Advanced prompt limits on free tier push users toward paid plans
  • Community and third-party tooling still maturing outside China

Overview

Z.ai is a free AI chatbot and agent platform built on Zhipu AI's open-source GLM model family. It offers free basic conversations with advanced capabilities available through paid subscription plans.

The platform serves developers, researchers, and everyday users who need an AI assistant for coding, writing, research, and document generation. Z.ai stands out by combining frontier-level model performance with full bilingual support for English and Chinese, making it one of the most accessible alternatives to ChatGPT for global users.

Zhipu AI backs Z.ai with significant resources, including public-market funding following its Hong Kong listing in January 2026, and a commitment to open-weight development under the MIT License.

Key Features

  • GLM-5 flagship model — Uses a 744B-parameter mixture-of-experts architecture with 40B active parameters per token, positioning it as a leading open-weight model for coding and agentic tasks.

  • Agent mode — Converts natural language prompts into multi-step workflows, generating production-ready .docx, .pdf, and .xlsx documents directly from text instructions.

  • AI coding assistant — Scores 77.8% on SWE-bench Verified and supports native integration with Claude Code, Cline, and Roo Code through the GLM Coding Plan, enabling agentic coding workflows in popular IDEs.

  • Lower hallucination tendency — Performed strongly on the Artificial Analysis Intelligence Index v4.0 for knowledge reliability, with design emphasis on knowing when to abstain rather than fabricate information.

  • Bilingual support — Provides fully localized experiences for both English and Chinese users, with context-aware language switching based on user preferences.

  • Open-weight GLM ecosystem — Major GLM models including GLM-5 are released under the MIT License, giving developers access to weights, fine-tuning capabilities, and self-hosting options via Hugging Face and NVIDIA NIM.

How It Compares

Z.ai competes directly with ChatGPT, Claude, and Gemini as a general-purpose AI assistant. Here is how it stacks up:

Feature Z.ai (GLM-5) ChatGPT (GPT-5.4) Claude (Opus 4.6) Gemini (3.1 Pro)
Free tier Unlimited basic chat Limited free tier Limited free tier Limited free tier
Coding plan From $3/mo $20/mo (Plus) $20/mo (Pro) $20/mo (Advanced)
Open-source weights Yes (MIT) No No No
Bilingual EN/CN Native Plugin-based Translation Native
SWE-bench 77.8% ~72% ~70% ~68%
Agent mode Built-in Built-in Via Claude Code Via extensions

Z.ai's strongest differentiator is its price-to-performance ratio. The GLM Coding Plan offers access to GLM-5.1 at a fraction of the cost of competing frontier models, with Z.ai reporting strong coding benchmark results relative to leading closed-source alternatives.

Pricing & Plans

Z.ai uses a freemium model with a generous free tier and affordable paid plans.

Free Tier

  • Unlimited basic conversations with GLM-4.7-Flash
  • Access to standard chat, writing, and translation features
  • No credit card required

GLM Coding Lite — $3/month

  • Access to GLM-5 and GLM-5.1 for coding tasks
  • 120 prompts per 5-hour cycle
  • Native IDE integration (Claude Code, Cline, Roo Code)

GLM Coding Pro — $15/month

  • Higher rate limits and priority access
  • Advanced agent workflows
  • Full model access including GLM-5.1

API Pricing (Pay-as-you-go)

  • GLM-4.7-Flash: Free
  • GLM-4.7-FlashX: $0.07 / 1M input tokens, $0.40 / 1M output tokens
  • GLM-5: $1.00 / 1M input tokens, $3.20 / 1M output tokens
  • Web Search: $0.01 per use
  • Image Generation: From $0.01 per image

Best For

  • Developers seeking a cost-effective AI coding assistant with IDE integration at $3/month
  • Teams needing bilingual English-Chinese AI support for cross-border collaboration
  • Open-source advocates who want full model access with MIT-licensed weights for AI chatbots
  • Researchers and students looking for a free, capable AI chatbot for daily use
  • Startups building AI-powered products who need affordable API access with competitive performance

FAQ

Is Z.ai free to use?

Yes. Z.ai offers unlimited basic conversations at no cost using the GLM-4.7-Flash model. Advanced features like coding assistance with GLM-5 require a paid plan starting at $3 per month.

How does Z.ai compare to ChatGPT?

Z.ai offers competitive performance at a significantly lower price point. The GLM Coding Plan provides access to competitive coding models at a fraction of the cost of Claude Opus 4.6 or ChatGPT Plus subscriptions.

What models does Z.ai support?

Z.ai runs the GLM model family including GLM-4.7-Flash (free), GLM-5 ($1/MTok), GLM-5.1 (latest), and specialized models for vision (GLM-5V-Turbo), image generation (CogView-4), and video generation.

Can I use Z.ai for coding?

Yes. Z.ai's GLM Coding Plan integrates natively with popular coding tools including Claude Code, Cline, and Roo Code. Z.ai reports that GLM-5.1 scores 45.3 on the Claude Code coding benchmark, reaching 94.6% of Claude Opus 4.6's performance.

Is Z.ai open source?

Yes. All GLM models are released under the MIT License. You can access model weights on Hugging Face and deploy them through NVIDIA NIM for self-hosted inference.

Does Z.ai support languages other than English?

Z.ai provides native bilingual support for English and Chinese, with automatic language detection based on browser preferences. The models perform strongly in both languages without requiring translation plugins.

What is the API pricing for Z.ai?

API pricing varies by model. At the time of writing, official docs list GLM-4.7-Flash as free and GLM-5 at $1.00 per 1M input tokens and $3.20 per 1M output tokens, making it significantly cheaper than comparable closed-source frontier models.

Is my data secure on Z.ai?

For users requiring additional data control, several GLM models can be self-hosted on private infrastructure, providing full data sovereignty. Check Z.ai's official documentation for current security and compliance details.

Version History

GLM-5.2

Released on June 13, 2026

View Update
+What's new
3 updates
  • Use Z.ai's new flagship coding model across all GLM Coding Plan tiers, including Lite, Pro, Max, and Team plans, with 1M-context support for large codebases and long agent sessions
  • Configure Claude Code with `glm-5.2[1m]` plus `CLAUDE_CODE_AUTO_COMPACT_WINDOW=1000000`; configure OpenClaw/Cline-style tools with `glm-5.2`, 1M context settings, and 131K max output where the tool supports it.
  • Reserve GLM-5.2 for complex work because Z.ai treats it as a premium Opus-level model with higher quota multipliers, while GLM-4.7 remains the recommended option for routine tasks

GLM-5.1

Released on April 7, 2026

View Update
+What's new
3 updates
  • Use GLM-5.1 for long-horizon agentic engineering work, with stronger coding than GLM-5 and an official SWE-Bench Pro score of 58.4 against frontier coding models
  • Run multi-stage engineering tasks for up to 8 hours in one autonomous loop, covering planning, execution, testing, bug fixing, and production-grade delivery
  • Build agents that repeatedly experiment, analyze results, adjust strategy, and optimize systems, including benchmark-driven performance tuning workflows

GLM-5V-Turbo

Released on April 1, 2026

View Update
+What's new
3 updates
  • Process images, videos, design drafts, and document layouts natively as a multimodal vision coding model with 200K context window and 128K max output tokens for long-horizon agentic tasks
  • Execute the full perceive-plan-execute loop in GUI environments with leading scores on AndroidWorld, WebVoyager, and ZClawBench agent benchmarks optimized for OpenClaw workflows
  • Fuse visual understanding and code generation through CogViT vision encoder and 30+ task joint reinforcement learning across STEM, grounding, video, and coding domains

GLM-5.1

Released on March 27, 2026

View Update
+What's new
3 updates
  • Score 45.3 on Claude Code coding benchmark—94.6% of Claude Opus 4.6 performance—with 28% improvement over GLM-5, establishing a new frontier in cost-efficient agentic coding
  • Generate code at 55+ tokens/sec with estimated 200K context window, enabling long-horizon multi-file refactoring and distributed system architecture design
  • Access frontier-level coding intelligence from $3/month via Coding Plan with native compatibility for Claude Code, Cline, and Roo Code MCP tool integrations

GLM-5-Turbo

Released on March 15, 2026

+What's new
3 updates
  • Execute complex OpenClaw agent workflows with superior tool invocation reliability, scheduled task continuity, and high-throughput long-chain execution optimized since training phase
  • Decompose and follow multi-layered complex instructions with enhanced comprehension, supporting collaborative task division among multiple agents and MCP tool integrations
  • Outperform GLM-5 across multiple ZClawBench task categories while supporting 200K context input with multiple thinking modes for dynamic, long-running agent tasks

GLM-5

Released on February 12, 2026

View Update
+What's new
3 updates
  • Handle complex systems engineering and long-horizon agentic tasks with 744B parameters (40B active) and DeepSeek Sparse Attention integration
  • Generate production-ready documents (.docx, .pdf, .xlsx) directly from text with built-in Agent mode and multi-turn collaboration
  • Execute code with best-in-class open-source performance on reasoning benchmarks, approaching frontier model capabilities

GLM-4.7-Flash

Released on January 19, 2026

+What's new
3 updates
  • Get lightweight version of GLM-4.7 with faster response times and high throughput optimized for real-time coding, writing, and translation tasks
  • Deploy efficiently with competitive performance at smaller scale while maintaining strong general capabilities across reasoning and content generation
  • Access free-tier model designed for high-frequency use cases with best-in-class aesthetic outputs, low latency, and simplified deployment

GLM-4.7-Flash

Released on January 19, 2026

+What's new
3 updates
  • Get lightweight version of GLM-4.7 with faster response times and high throughput optimized for real-time coding, writing, and translation tasks
  • Deploy efficiently with competitive performance at smaller scale while maintaining strong general capabilities across reasoning and content generation
  • Access free-tier model designed for high-frequency use cases with best-in-class aesthetic outputs, low latency, and simplified deployment

GLM-4.7

Released on December 22, 2025

+What's new
3 updates
  • Build cleaner modern webpages and professional slides with major improvements in UI aesthetics, visual quality, and accurate layout sizing for frontend development
  • Solve multilingual coding tasks faster with 73.8% on SWE-bench and 41% on Terminal Bench 2.0, delivering stronger performance across agent frameworks
  • Reason through complex mathematical and logical problems with 42.8% on HLE benchmark while enhancing tool-using and web browsing capabilities

GLM-4.6

Released on September 30, 2025

+What's new
3 updates
  • Handle longer conversations and complex multi-file codebases with expanded 200K context window, enabling more sophisticated agentic task execution
  • Code more efficiently in Claude Code, Cline, and Roo Code with superior benchmark performance and improved real-world coding accuracy
  • Leverage enhanced reasoning capabilities with native tool use support during inference, delivering stronger results in search-based agent workflows

GLM-4.5

Released on July 28, 2025

+What's new
3 updates
  • Unify reasoning, coding, and agentic capabilities in a single model delivering balanced performance across complex problem-solving and rapid content generation
  • Switch between thinking mode for deep analysis and non-thinking mode for instant responses, adapting intelligence level to task complexity on demand
  • Build full-stack web applications with stronger frontend quality, and integrate the model into Claude Code, Roo Code, or custom agent workflows through tool APIs

ChatGLM3-6B

Released on October 27, 2023

+What's new
3 updates
  • Execute code directly and invoke external tools with new Code Interpreter and Function Call capabilities, enabling autonomous agent-style task completion
  • Process information more accurately with improved training across 42 benchmarks covering semantics, mathematics, reasoning, code, and knowledge understanding
  • Deploy locally on consumer hardware with open-source 6B-parameter model supporting both academic research and free commercial use after registration

ChatGLM2-6B

Released on June 25, 2023

+What's new
3 updates
  • Handle longer conversations with expanded 32K context window using FlashAttention technology, enabling deeper multi-turn dialogue understanding
  • Get responses 42% faster with improved inference speed and INT4 quantization, supporting extended dialogues on consumer GPUs with only 6GB VRAM
  • Achieve stronger performance across reasoning and knowledge benchmarks with enhanced training on 1.4T bilingual tokens covering diverse domains

ChatGLM-6B

Released on March 14, 2023

+What's new
3 updates
  • Deploy locally on consumer-grade graphics cards with lightweight 6.2B-parameter bilingual model, enabling private ChatGPT-style conversations
  • Chat naturally in Chinese and English with open-source conversational AI trained on approximately 1 trillion tokens of diverse text data
  • Use freely for commercial purposes after simple registration, with full model weights and training code available for academic research

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