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GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration.
by Z.aiSep 23, 20261M context$2.80/M input$8.80/M output
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.
by Z.aiSep 18, 20261M context$0.37/M input$1.25/M output
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
by Z.aiAug 26, 20261M contextfrom $0.03/M inputfrom $0.18/M output43.8M tokens
This model always redirects to the latest GLM model from Z.ai.
by Z.aiAug 19, 20261M context$1.40/M input$4.40/M output
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
by Z.aiAug 14, 20261M contextfrom $0.08/M inputfrom $1.40/M output362.8M tokens
GLM-5.2 is Z.ai's flagship long-horizon reasoning model with a 1M-token context window for agent workflows, coding, and complex multi-step tasks.
by Z.aiJun 16, 20261M contextfrom $0.03/M inputfrom $2.40/M output1.3M tokens
GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.
by Z.aiApr 7, 2026205K contextfrom $0.82/M inputfrom $3.08/M output492.9K tokens
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding, and task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute“.
by Z.aiApr 1, 2026203K contextfrom $1.20/M inputfrom $4.00/M output
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.
by Z.aiMar 15, 2026203K contextfrom $1.20/M inputfrom $4.00/M output
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.
by Z.aiFeb 11, 2026205K contextfrom $0.92/M inputfrom $2.55/M output329.9K tokens
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
by Z.aiJan 19, 2026200K contextfrom $0.00/M inputfrom $0.00/M output465.9K tokens
GLM 4 7 Flashx is a Z.ai GLM model for agentic reasoning, coding, tool use, and general language tasks.
by Z.aiJan 19, 2026200K context$0.07/M input$0.40/M output
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.
by Z.aiDec 22, 2025205K contextfrom $0.40/M inputfrom $1.75/M output341.7K tokens
by Z.aiDec 11, 20254K context$210.00/M input$0.00/M output
AutoGLM Phone 9B Multilingual is a 9B vision-language agent model from Z.ai that reads phone screenshots and plans UI actions to operate mobile apps, with multilingual support.
by Z.aiDec 10, 202566K context$0.04/M input$0.14/M output54.4K tokens
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts and charts directly as visual inputs, and integrates native multimodal function calling to connect perception with downstream tool execution. The model also enables interleaved image-text generation and UI reconstruction workflows, including screenshot-to-HTML synthesis and iterative visual editing.
by Z.aiDec 8, 2025131K contextfrom $0.30/M inputfrom $0.90/M output163.5K tokens
GLM-4.6V Flash is a lightweight vision-language model from Z.ai in the GLM-4.6V series, built for fast, low-cost image and document understanding.
by Z.aiDec 8, 2025128K context$0.00/M input$0.00/M output49.5K tokens
GLM-4.6V FlashX is a faster tier of Z.ai's lightweight GLM-4.6V Flash vision-language model, built for low-latency image and document understanding.
by Z.aiDec 8, 2025128K context$0.04/M input$0.40/M output
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.
by Z.aiSep 30, 2025205K contextfrom $0.50/M inputfrom $2.00/M output302.3K tokens
GLM-4.5V is a vision-language foundation model for multimodal agent applications. $0.60 per million input tokens, $1.80 per million output tokens. 65,536 token context window, maximum output of 16,384 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.
by Z.aiAug 11, 202566K contextfrom $0.60/M inputfrom $1.80/M output163.4K tokens
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