GLM-5 / 채팅
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.
Playground Chat
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GLM-5Toggleable Deep Thinking with Tools
GLM-5 is Zhipu’s thinking-capable chat model with thinking.type enable/disable, clear_thinking history cleanup, up to 128 function tools, and streaming chat completions on an OpenAI-compatible surface.
At a Glance
GLM-5 Thinking Stack
Deep reasoning when you need it — plain chat when you do not. One model, two cognitive gears.
Thinking Toggle
thinking.type switches between enabled and disabled so you can trade analytical depth for latency per request without swap models.
Clear Thinking History
thinking.clear_thinking (default true) cleans historical reasoning_content so multi-turn context stays compact and free of stale intermediate traces.
Function Tools
Register up to 128 function tools with tool_choice auto for agent loops, structured actions, and grounded retrieval handoffs.
Sampling & Stop
Temperature [0,1] default 1, top_p [0.01,1] default 0.95, max_tokens up to 131072, and a single stop word for clean parser boundaries.
How It Works
From request to reasoned answer in four moves.
Set Thinking
Enable or disable thinking.type based on task complexity and latency budget.
Attach Tools
Register function tools (up to 128) with tool_choice auto for agent loops.
Stream Tokens
stream defaults to true and returns text/event-stream for progressive paint.
Shape Output
Tune temperature (0–1, default 1), top_p (0.01–1, default 0.95), and one stop word.
GLM-5 Domains
Where thinking depth is a product dial, not a model swap.
Complex Analysis
Thinking on for multi-hop technical reasoning.
Agent Workflows
Function tools with tool_choice auto.
Fast Chat UX
Thinking off for lightweight conversational turns.
Structured Output
Temperature 0–1 and single stop word for parsers.
Prompt Tips
Get better first-pass results from GLM-5.
Leave thinking enabled for proofs and multi-document work; disable it for simple labels and rewrites.
GLM-5 currently accepts a single stop word — design parsers around that limit.
Ask for JSON or numbered steps when you will parse output programmatically.
GLM-5 Quickstart
Thinking chat with function tools.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5",
"messages": [
{"role": "user", "content": "Outline a careful multi-step plan to migrate a REST API to versioned endpoints."}
],
"stream": true,
"temperature": 0.7
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
가격 상세
이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 입력 크레딧 | 출력 크레딧 | 입력 가격 | 출력 가격 | 암시적 캐시 적중 | 명시적 캐시 적중 | 캐시 생성 |
|---|---|---|---|---|---|---|---|
| Standard | 970/ 1M Tokens | 3,104/ 1M Tokens | $0.970 | $3.104 | $0.194 194/ 1M Tokens | $0.194 194/ 1M Tokens | -- |
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GLM-5.3
glm-5.3
Zhipu AI's flagship text model optimized for complex software engineering and long-horizon Agent tasks. Features a 1M-token context window with mandatory reasoning (3 levels: low/high/max). Coding capability improved 50% over GLM-5.2 on Z.ai Code Bench; scores SOTA on Terminal Bench 3.0. Excels in cybersecurity tasks (cyber vulnerability discovery)
GLM-5.3 Flash
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Z.ai's native multimodal model (320B-A18B) with text, image, video, and file input. Features hybrid sparse + linear attention, reducing attention compute 3x and KV cache 4.4x vs. GLM-5.3. Scores 57 on Artificial Analysis Intelligence Index—matching Claude Opus 4.8—with 1M context and 128K max output. Excels in agentic coding, vision-based Computer Use, and CAD reproduction
GLM-5.2
glm-5.2
Flagship text model purpose-built for long-horizon agentic workflows. Features a 1M context window supporting project-level engineering in a single session. Excels at autonomous coding: can complete development, testing, and multi-platform deployment from a single prompt. Top open-weight model per Artificial Analysis; #1 globally on Code Arena. MIT-licensed and Day-0 optimized for domestic AI chips
GLM-5 Turbo
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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.
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Frequently Asked Questions
Everything you need to know before integrating this model.
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