GLM-5.2-Fast-Preview is the high-speed variant of Zhipu AI’s GLM-5.2 model, served by Alibaba Cloud Model Studio.
It is described as inference-optimized and aligned with the standard GLM-5.2 version’s capabilities.
| Developer | Zhipu AI |
|---|---|
| Model ID | alibaba/glm-5.2-fast-preview |
| Release Date | July 9, 2026 |
| Context Window | 1,000,000 tokens (~1M) |
| Max Output Tokens | 131,072 tokens |
| Modalities | Text → Text |
| Capabilities | parallel tool calls, reasoning, streaming, structured (JSON schema) output, tool/function calling |
High-speed variant
The model is presented as the fast version of GLM-5.2, optimized for higher output throughput.
Alibaba Cloud hosting
The inference service provider for glm-5.2-fast-preview is Alibaba Cloud Model Studio.
Latency-sensitive positioning
It is intended for latency-sensitive use cases such as real-time chat, multi-turn agents, and streaming code generation.
Model family relationship
The model is identified as part of the GLM series in Alibaba Cloud documentation.
Preview fast mode
Alibaba Cloud documents Fast mode as a preview-stage feature for higher TPS on supported models.
Real-time chat
Suitable for conversational applications that need faster output generation.
Multi-turn agents
Positioned for agent workflows that benefit from higher TPS and lower latency.
Streaming code generation
Recommended for code-generation flows where fast streamed output matters.
Latency-sensitive apps
Designed for scenarios where response speed is a primary requirement.
Sources: https://help.aliyun.com/en/model-studio/glm-5-2-fast · https://aihubmix.com/compare/glm-5.2/glm-5.2-fast-preview · https://www.qwencloud.com/models/glm-5.2-fast-preview
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Real-time chat is one documented use case for GLM 5.2 Fast Preview, which is described as a latency-sensitive scenario suited to the model’s high-speed output.
Multi-turn agents are another documented fit, with the model specifically said to work well for multi-turn agent interactions and agent loops that chain many model calls.
Streaming code generation is also explicitly listed as a suited use case, including streaming code generation for latency-sensitive workflows.
Real-time coding assistants are documented as a fit as well, with the model described as suitable for AI coding assistants and real-time coding assistants.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/glm-5.2-fast-preview", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "alibaba/glm-5.2-fast-preview", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"alibaba/glm-5.2-fast-preview","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
glm-5.2-fast-preview has no free quota on Alibaba Cloud’s Model Studio pricing page, and its input, output, and cached-input prices are listed separately for each deployment scope.
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
GLM 5.2 Fast Preview This page | Agentic workflows and structured output |
GLM 5.2 Fast Preview has a 1,000,000 tokens context window and can return up to 131,072 tokens.
GLM 5.2 Fast Preview takes text as input and returns text.
Use alibaba/glm-5.2-fast-preview as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GLM 5.2 Fast Preview became available on July 10, 2026.
GLM 5.2 Fast Preview is priced at input $4.55 / 1M tokens, output $14.3 / 1M tokens, cached input $0.91 / 1M tokens.
Yes, GLM 5.2 Fast Preview can stream responses as they are generated.
GLM 5.2 Fast Preview was built by Zhipu AI.
It supports reasoning, streaming, structured output, tools, and parallel tool calls.
