GLM-5.1-highspeed - GLM-5.1 high-speed API launched by Zhipu AI.

What is GLM-5.1-highspeed?

GLM-5.1-HighSpeed is Zhipu AI's flagship high-speed large model API. While retaining the full capabilities of GLM-5.1, it achieves an output speed of 400 tokens/s through the TileRT high-performance inference engine, setting a new global speed record for large model APIs. The model supports a 200K context window and a maximum output of 128K, targeting low-latency scenarios such as Coding Agents, real-time interaction, and business decision-making. Currently, it is only available to select enterprise customers on the BigModel open platform.

Main functions of GLM-5.1-highspeed

• High-speed text generationThe model output speed reaches 400 tokens/s, and it can complete the task of generating approximately 400 tokens per second.
• Full flagship capabilitiesIt fully retains the coding, reasoning, and synthesis capabilities of GLM-5.1 without sacrificing quality for speed.
• MCP tool callIt supports flexible access to external MCP tools and data sources, expanding the boundaries of model application scenarios.
• Deep thinking modeSupports enabling the thinking mode, which outputs the reasoning process while providing extremely fast response.
• Streaming real-time outputSupports SSE streaming, enabling a real-time interactive experience where data is generated and returned simultaneously.

Technical principles of GLM-5.1-highspeed

• TileRT Persistence EngineDuring compilation, the computation graph is statically orchestrated into a persistent Engine Kernel that resides on the GPU, allowing inference to be completed with just one launch.
• Register-level direct data transferIntermediate results of operators are directly passed through Register, Shared Memory and L2 Cache, avoiding the memory access overhead of writing back to Global Memory.
• Tile-level microtask schedulingIt breaks down computation, asynchronous I/O, and communication into tile-level microtasks, eliminating host dynamic scheduling and cross-operator synchronization latency.
• Heterogeneous multi-card collaborationIn multi-GPU scenarios, different GPU ranks are specialized into different workers based on computational density and data dependency to improve parallel efficiency.
• System-level full-stack optimizationFrom inference engine path rewriting, dynamic batch processing and KV cache scheduling, to collaborative optimization of cluster network and load balancing.

How to use GLM-5.1-highspeed

• Obtaining permissionsContact the BigModel Open Platform to apply for enterprise customer status and API Key.
• Install SDKInstall zai-sdk or zhipuai Python SDK via pip, or add Java Maven dependencies.
• Initialize clientCreate a ZhipuAiClient or ZhipuAI client instance using the API Key.
• Configure request parametersSet the model to glm-5.1-highspeed and enable thinking mode and streaming output as needed.
• Send request callSend a list of messages and retrieve the model's return results via the chat.completions.create interface.

The core advantages of GLM-5.1-highspeed

• Achieving both speed and qualityBreaking the industry convention that high speed must be lightweight, it is the first domestically produced large model to achieve flagship capabilities with ultra-fast response.
• Production-grade stability400 TPS is not a peak value but a stable and usable production-grade capability, ensuring continuous high performance through full-stack optimization.
• Real-time collaborative motion sensingThe instant response speed allows the model to become a real-time collaborative partner, supporting high-frequency human-computer interaction and continuous agent execution.
• Long context supportWith a 200K context window and a maximum output of 128K, it meets the needs of large-scale project refactoring and long document processing.

Project address for GLM-5.1-highspeed

• Project official website: https://docs.bigmodel.cn/cn/guide/models/text/glm-5.1-highspeed

Comparison of GLM-5.1-highspeed with similar competing products

Application scenarios of GLM-5.1-highspeed

• AI Programming: Aimed at Coding Agents and large-scale project refactoring, enabling real-time generation and collaborative modification of code, interfaces, and call chains.
• Real-time interactionIt supports instant modeling of game scenes, real-time UI construction, and dynamic content feedback, and changes the system state instantly in response to user input.
• Business DecisionsSuitable for real-time data analysis, operational Q&A, and multi-agent parallel simulation, it can quickly generate strategies and compare solutions.
• Real-time voiceIt quickly completes the closed loop of understanding and generation in voice assistant and real-time customer service scenarios, bringing a natural and smooth interactive experience.