GLM-5 / Chat
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
Start a conversation with the AI model. You can ask anything.
AI-generated responses may vary in accuracy.
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 swapping 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.
Pricing Details
The actual billing for this model is dynamically calculated based on the specific parameters passed in your API request. Below are the specific combinations and their corresponding pricing:
| Modality | Input Credits | Output Credits | Input Price | Output Price | Implicit Cache Hit | Explicit Cache Hit | Cache Creation |
|---|---|---|---|---|---|---|---|
| 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
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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)
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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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High-performance text model delivering breakthrough coding and long-horizon task execution. Capable of autonomous, continuous work for 8+ hours per session—planning, executing, and iterating to deliver engineering-grade results. Coding capability aligns with Claude Opus 4.6; scores 58.4 on SWE-Bench Pro, surpassing GPT-5.4 and Opus 4.6. 200K context window. Optimized for Agentic Coding, MCP tool calling, and complex software engineering
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Frequently Asked Questions
Everything you need to know before integrating this model.
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