--- title: Z.ai: GLM 4.6 API | Text Generation | ModelsLab description: Advanced LLM with 357B parameters (32B active MoE), 204K context, 29.5 coding index, 80 tok/s speed for superior coding, reasoning. url: https://modelslab.com/models/z-ai/z-ai-glm-4.6.md canonical: https://modelslab.com/models/z-ai/z-ai-glm-4.6.md type: product component: Playground/LLM/Index generated_at: 2026-06-03T20:23:06.004465Z --- Z.ai: GLM 4.6 --- [LLMs.txt](https://modelslab.com/models/open_router/z-ai-glm-4.6/llms.txt) [.md](https://modelslab.com/models/z-ai/z-ai-glm-4.6.md) Z.ai: GLM 4.6 --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### Z.ai: GLM 4.6 z-ai z-ai-glm-4.6 Copy model ID PricingInput $0.43 / 1M tokens Output $1.74 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. Temperature0.7 Max Tokens1000 Top P0.9 Frequency Penalty0 Presence Penalty0 Model Info Support Related Models --- Discover similar models you might be interested in [View all LLM Models](https://modelslab.com/models?feature=llmaster) [#### open\_router/Qwen: Qwen3 VL 30B A3B Thinking qwen-qwen3-vl-30b-a3b-thinking From $0.84/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-30b-a3b-thinking) [#### open\_router/Anthropic: Claude Opus 4.7 anthropic-claude-opus-4.7 From $15.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-opus-4.7) [#### open\_router/WizardLM-2 8x22B microsoft-wizardlm-2-8x22b From $0.62/M tokens](https://modelslab.com/models/open_router/microsoft-wizardlm-2-8x22b) [#### open\_router/AionLabs: Aion-2.0 aion-labs-aion-2.0 From $1.20/M tokens](https://modelslab.com/models/open_router/aion-labs-aion-2.0) [#### open\_router/DeepSeek: DeepSeek V3 0324 deepseek-deepseek-chat-v3-0324 From $0.48/M tokens](https://modelslab.com/models/open_router/deepseek-deepseek-chat-v3-0324) [#### open\_router/Qwen: Qwen3.7 Max qwen-qwen3.7-max From $2.50/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.7-max) [#### open\_router/Anthropic: Claude Opus 4.7 (Fast) anthropic-claude-opus-4.7-fast From $90.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-opus-4.7-fast) [#### open\_router/Qwen: Qwen3.5-9B qwen-qwen3.5-9b From $0.10/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.5-9b) [#### open\_router/LiquidAI: LFM2-24B-A2B liquid-lfm-2-24b-a2b From $0.07/M tokens](https://modelslab.com/models/open_router/liquid-lfm-2-24b-a2b) [#### open\_router/Amazon: Nova Premier 1.0 amazon-nova-premier-v1 From $7.50/M tokens](https://modelslab.com/models/open_router/amazon-nova-premier-v1) [#### open\_router/Qwen2.5 72B Instruct qwen-qwen-2.5-72b-instruct From $0.38/M tokens](https://modelslab.com/models/open_router/qwen-qwen-2.5-72b-instruct) [#### meta/Meta Llama 3 70B Instruct Turbo meta-llama-Meta-Llama-3-70B-Instruct-Turbo From $0.88/M tokens](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo) [#### open\_router/Qwen: Qwen3 VL 32B Instruct qwen-qwen3-vl-32b-instruct From $0.26/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-32b-instruct) [#### nous\_research/Nous Hermes 2 Mixtral 8X7B Dpo NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO From $0.60/M tokens](https://modelslab.com/models/nous_research/NousResearch-Nous-Hermes-2-Mixtral-8x7B-DPO) [#### open\_router/NVIDIA: Nemotron 3 Nano 30B A3B nvidia-nemotron-3-nano-30b-a3b From $0.13/M tokens](https://modelslab.com/models/open_router/nvidia-nemotron-3-nano-30b-a3b) [#### open\_router/Qwen: Qwen3.7 Plus qwen-qwen3.7-plus From $1.00/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.7-plus) [#### open\_router/OpenAI: GPT-4o-mini openai-gpt-4o-mini From $0.38/M tokens](https://modelslab.com/models/open_router/openai-gpt-4o-mini) [#### open\_router/Google: Nano Banana Pro (Gemini 3 Pro Image Preview) google-gemini-3-pro-image-preview From $7.00/M tokens](https://modelslab.com/models/open_router/google-gemini-3-pro-image-preview) Open Source Alternatives --- Explore open-source models that offer similar capabilities with full transparency and flexibility [View all open source models](https://modelslab.com/models?feature=llm&provider=open-source-models) [MU](https://modelslab.com/models/modelslab/uncensored-chat)[ModelsLab](https://modelslab.com/models/modelslab) [Modelslab: Uncensored Chat Open Source Model](https://modelslab.com/models/modelslab/uncensored-chat) About Z.Ai: GLM 4.6 --- Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex... ### Technical Specifications Model IDz-ai-glm-4.6 CategoryLLM Models TaskText Generation Price$1.085 per million tokens AddedFebruary 20, 2026 ### Key Features - Chat completion and multi-turn conversation API - Streaming response with token-by-token output - Function calling and tool use support - System prompts and role-based messaging - JSON mode and structured output ### Quick Start Integrate Z.Ai: GLM 4.6 into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v7/llm/chat/completions" headers = { "Content-Type": "application/json" } data = { "model_id": "z-ai-glm-4.6", "messages": [ { "role": "user", "content": "Hello!" } ], "max_tokens": 1000, "key": "YOUR_API_KEY" } try: response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX) result = response.json() print("API Response:") print(json.dumps(result, indent=2)) except requests.exceptions.HTTPError as http_err: print(f"HTTP error occurred: {http_err} - {response.text}") except Exception as err: print(f"Other error occurred: {err}") ``` ### Pricing Z.Ai: GLM 4.6 API costs $1.085000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - AI chatbots and virtual assistants - Code generation and developer tools - Content writing and copywriting automation - Data analysis, summarization, and extraction [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Z Ai](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing) Z.Ai: GLM 4.6 FAQ --- ### What is Z.Ai: GLM 4.6? Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex... ### How do I use the Z.Ai: GLM 4.6 API? You can integrate Z.Ai: GLM 4.6 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "z-ai-glm-4.6" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Z.Ai: GLM 4.6 cost? Z.Ai: GLM 4.6 costs $1.085000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Z.Ai: GLM 4.6 model ID? The model ID for Z.Ai: GLM 4.6 is "z-ai-glm-4.6". Use this ID in your API requests to specify this model. ### Does Z.Ai: GLM 4.6 have a free tier? Yes, ModelsLab offers a free tier that lets you try Z.Ai: GLM 4.6 and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-06-04*