zai-org/GLM-4.5

Features

• Advanced Reasoning Models - Features chain-of-thought processing to solve complex mathematical, logical, and technical problems.
• Chain-of-Thought Prompting - Utilizes chain-of-thought reasoning to break down complex mathematical, logical, and technical problems into intermediate steps.
• Multimodal Processing - Processes text, images, audio, and video within a single unified context window.
• Hybrid Short-and-Long Term Memory - Organizes information into session, project, and procedural layers to balance short and long-term persistence.
• Agentic Project Memories - Retains project structure, engineering conventions, and user preferences across tasks to reduce repeated input.
• Knowledge Base Retrieval - Loads relevant project memory and knowledge base entries into the working context before starting a task.
• Agent Construction Frameworks - Provides a framework for building intelligent agents that integrate custom tools and iterative reasoning.
• Reasoning Block Persistence - Retains previous reasoning blocks in the session history to maintain continuity throughout complex coding tasks.
• Reasoning Cycle Orchestrators - Manages the state and execution flow of reasoning loops to allow for interleaved thinking and action.
• Multi-turn Interaction Managers - Manages stateful single-turn and multi-turn dialogues with support for streamed responses.
• Agentic Workflow Orchestration - Orchestrates autonomous workflows by decomposing high-level goals into executable plans via iterative reasoning.
• Predictive Code Completions - Suggests real-time code snippets based on the current file and project context to reduce manual typing.
• AI Software Engineering - Automates the full development lifecycle from requirement analysis and code generation to debugging and performance optimization.
• Coding Agent Integrations - Provides integrations that connect AI assistants directly into IDEs and terminal environments to support software development workflows.
• Autonomous AI Agent Frameworks - Builds intelligent systems that use tools and iterative reasoning to execute complex multi-step workflows autonomously.
• Autonomous Task Execution - Completes complex multi-step workflows through autonomous planning, tool invocation, and self-correction.
• Long-Horizon Workflows - Plans and executes autonomous workflows over extended periods, including production delivery and iterative optimization.
• Chat Completion Services - Produces natural language conversational responses based on history and system instructions.
• Bug Fixing with Explanations - Processes error messages and codebase context to locate bugs and generate precise architectural or logic fixes.
• Complex Problem Solving - Solves intricate technical challenges including in-depth debugging, backend refactoring, and long-term goal planning.
• Conversation Memory Managers - Stores and retrieves interaction history to maintain context across multi-turn generative sessions.
• Function Signature Definitions - Defines function signatures and parameters that allow AI models to call external tools.
• AI-Driven Function Triggering - Connects models to external tools by identifying trigger conditions and extracting required arguments.
• Image Generation - Creates high-quality visual imagery based on descriptive text prompts.
• Codebase Knowledge Sources - Answers technical questions about a project by integrating codebase knowledge with external data sources.
• Multimodal Analysis Tools - Processes images, video, and documents to generate descriptions or extract structured information.
• Multimodal Content Generation - Creates high-quality images, videos, and professional layouts from text prompts and visual references.
• Multimodal Content Generators - Creates high-resolution images, photorealistic videos, and professional presentation layouts.
• Multimodal Large Language Models - Processes and generates text, images, audio, and video within a single unified system.
• Multimodal Token Interleaving - Processes text, images, audio, and video within a single unified context window for comprehensive cross-modal reasoning.
• Long Multimodal Contexts - Analyzes massive multimodal inputs, such as hour-long videos and large document sets, using an extended token window.
• Multimodal Tool Implementations - Passes images, screenshots, and documents as tool parameters to perform visual reasoning and action.
• Prompt Caches - Reduces token costs and latency by caching and reusing identical system prompts and conversation history.
• Reasoning Chains - Interleaves thinking steps between tool executions to interpret intermediate results and chain actions.
• Repository Mapping - Constructs structural summaries and directory layouts of repositories to provide the model with project organization context.
• Agentic Goal Decomposition - Recursively decomposes high-level objectives into actionable sub-tasks while maintaining logical coherence.
• Text Embedding Generators - Transforms text into vector representations to enable semantic search and similarity analysis.
• Tool Calling - Integrates external functions into the reasoning process to fetch real-time data or perform programmatic tasks.
• Video Generation - Creates photorealistic or animated video content from text prompts or image pairs.
• Autonomous AI Agents - Plans multi-step workflows and interacts with external tools and web browsers.
• Agentic Development Loops - Implements code, writes tests, runs validation suites, and reviews diffs throughout the software lifecycle.
• Conversation Context Caches - Implements session-based data reuse to maintain high performance during long-horizon multimodal interactions.
• AI Coding Assistants - Generates executable code, debugs complex logic, and manages software development lifecycles.
• Project Agent Configuration - Stores engineering rules and coding standards in configuration files to maintain consistent behavior across projects.
• Repository Knowledge Search - Searches through codebase documentation, source files, and commit history to locate specific technical knowledge.
• Codebase Context Querying - Analyzes project files to explain how specific features are implemented and how components relate.
• Requirement to Code Generators - Translates plain language descriptions into executable code, implementation plans, and debugging fixes.
• Codebase-Driven Plan Generators - Analyzes codebase files to generate detailed technical implementation plans before executing changes.
• Agent Session Management - Manages working contexts by isolating tasks into separate sessions or delegating to specialized agents.
• Agent Task Execution - Executes a sequence of complex commands while maintaining a persistent state across the chain.
• Cited Query Responses - Generates responses grounded in retrieved knowledge with inline source citations for verifiability.
• Skill Packaging - Packages repeated prompt patterns and task flows into structured templates for consistent agent execution.
• Reasoning Effort Configurations - Provides controllable reasoning effort to adjust the depth and duration of the model's thought process.
• Visual Interface Operations - Recognizes screen images and translates requests into operational commands like clicking and sliding.
• OpenAI-Compatible APIs - Provides an interface that supports standard SDKs and protocols for seamless integration with existing AI applications.
• Model Context Protocol - Integrates with external data sources, search tools, and IDE clients using the standardized Model Context Protocol.
• MCP Server Management - Configures and administers external MCP server connections to extend coding tool capabilities.
• Agentic Task Automation - Resolves linting issues, manages merge conflicts, and generates release notes to remove manual overhead.
• AI Productivity Assistants - Constructs specialized AI assistants tailored for professional productivity and document analysis.
• Presentation Generators - Generates logically structured slide outlines and layout suggestions for professional presentations.
• Technical Terminology Preservation - Uses uploaded glossaries to ensure consistent alignment of industry-specific technical vocabulary.
• Autonomous Research Pipelines - Retrieves information from multiple web sources and organizes it into structured research summaries.
• Autonomous Web Browsing Agents - Independently navigates websites to map page transitions and collect visual assets.
• Embedded Text Recognizers - Recognizes printed text and mathematical formulas from images or PDFs and converts them into digital text.
• Documentation Generation - Generates detailed technical documentation for APIs and codebases using automated AI analysis.
• Professional Document Generation - Creates high-quality, structured content for professional reports and research papers.
• Multimodal Educational Solving - Combines image and text reasoning to solve and explain complex educational and technical problems.
• Session History Retrieval - Retrieves past interactions and output history for specific agents and sessions to maintain continuity.
• RAG Document Parsers - Processes high-volume document sets into standardized formats to facilitate efficient retrieval-augmented generation.
• MCP Protocol Integrations - Integrates search capabilities into editors and clients using the Model Context Protocol.
• Legible Text Rendering - Renders legible text content within generated images for posters and diagrams.
• Creative Content Generation - Generates fiction and copywriting with controlled styles and consistent literary expression.
• Visual-to-Code Synthesis - Analyzes screenshots or screen recordings of interfaces to produce usable HTML and CSS.
• Intelligent Document Processing - Extracts structured data, formulas, and layouts from images and PDFs into machine-readable formats.
• Context Caching - Implements context-aware KV caching to lower token costs and improve response times for repeated prompts.
• Search-Enhanced Generation - Augments language model generation with real-time web search data to provide up-to-date and verifiable answers.
• LLM Response Streaming - Delivers generated text and tool parameters incrementally to reduce perceived latency for the end user.
• Iterative Translation Refinement - Executes advanced translation workflows including chain-of-thought and multi-stage refinement.
• Semantic Translation Frameworks - Converts technical and formal text between languages with glossary support and semantic alignment.
• Long Context Processing - Handles extensive input windows to maintain coherence during long-horizon tasks.
• Multilingual Content Translation - Adapts text across multiple languages while preserving semantic coherence and localized expressions.
• Multimodal Report Generators - Produces reports and articles that integrate both text and visual elements from multimodal inputs.
• Narrative Character Consistency - Maintains consistent character settings and narrative logic for immersive role-playing interactions.
• Document Layout Analysis - Extracts text content and structural layout information from images and PDFs.
• Cultural - Adjusts tone and stylistic preferences to ensure generated output aligns with specific cultural norms.
• Output Formatting Constraints - Enforces structured output schemas, such as JSON, to ensure the model's responses integrate seamlessly with other software.
• Reasoning Mode Controllers - Provides interfaces for activating and configuring advanced reasoning or thinking modes to balance latency and accuracy.
• Text Generation Controls - Provides parameters for configuring output characteristics, randomness, diversity, and length of generated text.
• Visual Component Mapping - Translates visual layouts and component hierarchies from images directly into executable HTML and CSS code.
• Web Content Extractions - Retrieves full-page text, links, and metadata from URLs to provide structured context for the model.
• AI Agents and Assistants - Links with local AI assistants and chat frontends to provide reasoning for productivity and roleplay.
• OCR Document Parsers - Extracts structured information and data from document images through optical character recognition.
• Visual Regression Debugging - Analyzes screenshots to identify layout discrepancies and generates code to fix UI bugs.
• HTML to Markdown Converters - Converts complex HTML content into clean Markdown or JSON for better readability and token efficiency.
• Persuasive Copywriting - Produces engaging literary texts and marketing copy tailored to specific audience profiles.
• Source Code Extractions - Provides the ability to extract full text content from repository files for implementation analysis.
• Assistant Context Integrations - Connects AI assistants to external issue trackers, databases, and documentation for enriched context.
• Information Retrieval - Retrieves current information from the web and external knowledge bases to inform generative responses.
• Web Search APIs - Accesses current web data via search APIs to find the latest API changes and technical best practices.
• Form Data Extractors - Identifies key information from certificates and receipts and outputs the results as structured JSON.
• Table-to-HTML Converters - Identifies table structures within documents and transforms them into HTML-formatted sequences.
• Research Synthesis - Analyzes raw search results and tool outputs to compile structured research reports for complex information gathering.
• Rapid Software Prototyping - Produces code for websites and interactive front-end pages moving from requirements to usable deliverables.
• Multimodal Planning - Analyzes phone screen content to decompose goals into executable actions across mobile applications.
• Workflow Automation Triggers - Automatically triggers encapsulated skills based on predefined schedules or specific event conditions.
• Visual Subject Consistency - Produces multi-panel drawings that preserve the appearance of the main subject across frames.
• Mobile Device Automation - Executes workflows on mobile devices by interpreting requests and performing screen operations.
• Incremental Response Clients - Streams agent responses and tool results incrementally to the client in real time.
• Content Moderation - Detects safety violations in text and image content to ensure policy compliance.
• Agent Execution Environments - Defines behavior boundaries for agents by controlling file permissions, shell commands, and tool connections.
• Code Optimization - Identifies execution bottlenecks in existing functions and provides refactoring plans to improve efficiency.
• Standardized Protocol-Based Integrations - Implements common message protocols to allow seamless integration with various developer tools and agent interfaces.
• Technical Architecture Diagramming - Produces complex schematic diagrams and illustrations that maintain logical relationships and accurate annotations.
• Generative UI Layouts - Creates aesthetically consistent UI designs and posters with optimized typography and color harmony.
• Design-to-Code Tools - Converts design mockups or screenshots into runnable frontend projects by analyzing layout and component hierarchies.
• Model Tool Calls - Streams reasoning processes and tool parameters in real time during the invocation of external functions.
• Agentic Reasoning Applications - Foundation model focused on agentic reasoning and coding capabilities.
• Frontier Reasoning Models - Foundation model focused on agentic, reasoning, and coding capabilities.
• Large Language Models - Advanced conversational model utilizing mixture-of-experts architecture.

Star history