GLM-5.1-highspeed - The high-speed version API of GLM-5.1 launched by Zhipu AI

What is GLM-5.1-highspeed

GLM-5.1-HighSpeed is a flagship high-speed large model API launched by Zhipu AI, fully retainingGLM-5.1On the basis of comprehensive capabilities, it achieves an output speed of 400 tokens/s through the TileRT high-performance inference engine, setting a new global upper limit for large model API speed. The model supports a 200K context window and 128K maximum output, and is aimed at low-latency scenarios such as Coding Agent, real-time interaction, and business decision-making. It is currently only available toBigModelselected enterprise customers on the open platform.

Main features of GLM-5.1-highspeed

• Ultra-fast text generation: The model output speed reaches 400 tokens/s, and it can complete a generation task of about 400 tokens in 1 second.
• Full flagship capabilities: Fully retains the Coding, reasoning, and general task processing capabilities of GLM-5.1, with no need to sacrifice quality for speed.
• MCP tool calling: Supports flexible calling of external MCP tools and data sources, expanding the boundaries of model application scenarios.
• Deep thinking mode: Supports enabling thinking mode, outputting the reasoning process while responding at ultra-high speed.
• Streaming real-time output: Supports SSE streaming transmission, enabling a real-time interactive experience of returning results while generating.

Technical principles of GLM-5.1-highspeed

• TileRT persistent engine: At compile time, the computation graph is statically orchestrated into a persistent Engine Kernel resident on the GPU, requiring only one launch to complete inference.
• Register-level direct data transfer: Intermediate operator results are passed directly through Registers, Shared Memory, and L2 Cache, avoiding the memory access overhead of writing back to Global Memory.
• Tile-level microtask scheduling: Decomposes computation, asynchronous IO, and communication into Tile-level microtasks, eliminating host dynamic scheduling and cross-operator synchronization latency.
• Heterogeneous multi-card collaboration: In multi-card scenarios, different GPU ranks are specialized into different workers according to computing density and data dependencies, improving parallel efficiency.
• System-level full-stack optimization: From inference engine path rewriting, dynamic batching, and KV cache scheduling, to collaborative optimization of cluster networking and load balancing.

How to use GLM-5.1-highspeed

• Obtain permission: Contact ZhipuBigModelopen platform to apply for enterprise customer qualification and an API Key.
• Install SDK: Install the zai-sdk or zhipuai Python SDK via pip, or import the Java Maven dependency.
• Initialize client: Use the API Key to create a ZhipuAiClient or ZhipuAI client instance.
• Configure request parameters: Set the model to glm-5.1-highspeed, and enable thinking mode and streaming output as needed.
• Send request call: Send a message list through the chat.completions.create interface and obtain the model's returned result.

Core advantages of GLM-5.1-highspeed

• Both speed and quality: Breaks the industry convention that high speed must mean lightweight, achieving for the first time among domestic large models flagship capabilities paired with ultra-fast response.
• Production-grade stability: 400 TPS is not a peak value but a stable, usable production-grade capability, ensuring sustained high performance through full-stack optimization.
• Real-time collaborative experience: Instant question-and-answer response speed makes the model a partner capable of real-time collaboration, supporting high-frequency human-machine interaction and continuous Agent execution.
• Long context support: A 200K context window and 128K maximum output meet the needs of large-scale engineering refactoring and long document processing.

GLM-5.1-highspeed project address

• 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: For Coding Agents and large-scale engineering refactoring, enabling real-time generation and collaborative modification of code, interfaces, and call chains.
• Real-time interaction: Supports instant modeling in game scenarios, real-time UI construction, and dynamic content feedback, changing system state immediately with user input.
• Business decision-making: Suitable for real-time data analysis, operational Q&A, and parallel inference by multiple Agents, quickly completing strategy generation and solution comparison.
• Real-time voice: In voice assistant and real-time customer service scenarios, it quickly completes the closed loop of understanding and generation, delivering a natural and smooth interaction experience.