--- title: Z.ai: GLM 4.5V API | Text Generation | ModelsLab description: SOTA multimodal LLM with 106B params (12B active), 66K context, image/video/GUI reasoning, thinking mode; $0.14/M input, $0.86/M output tokens.[1][2][3][4][6] url: https://modelslab.com/models/z-ai/z-ai-glm-4.5v.md canonical: https://modelslab.com/models/z-ai/z-ai-glm-4.5v.md type: product component: Playground/LLM/Index generated_at: 2026-06-03T20:23:44.682067Z --- Z.ai: GLM 4.5V --- [LLMs.txt](https://modelslab.com/models/open_router/z-ai-glm-4.5v/llms.txt) [.md](https://modelslab.com/models/z-ai/z-ai-glm-4.5v.md) Z.ai: GLM 4.5V --- 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 4.5V z-ai z-ai-glm-4.5v Copy model ID PricingInput $0.60 / 1M tokens Output $1.80 / 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/Sao10K: Llama 3.3 Euryale 70B sao10k-l3.3-euryale-70b From $0.70/M tokens](https://modelslab.com/models/open_router/sao10k-l3.3-euryale-70b) [#### open\_router/Google: Gemini 2.5 Pro google-gemini-2.5-pro From $5.63/M tokens](https://modelslab.com/models/open_router/google-gemini-2.5-pro) [#### open\_router/Qwen: Qwen3.6 27B qwen-qwen3.6-27b From $1.75/M tokens](https://modelslab.com/models/open_router/qwen-qwen3.6-27b) [#### together\_ai/Arize AI Qwen 2 1.5B Instruct arize-ai-qwen-2-1.5b-instruct From $0.10/M tokens](https://modelslab.com/models/together_ai/arize-ai-qwen-2-1.5b-instruct) [#### open\_router/OpenAI: GPT-4 Turbo openai-gpt-4-turbo From $20.00/M tokens](https://modelslab.com/models/open_router/openai-gpt-4-turbo) [#### open\_router/Mistral: Codestral 2508 mistralai-codestral-2508 From $0.60/M tokens](https://modelslab.com/models/open_router/mistralai-codestral-2508) [#### open\_router/Anthropic: Claude Sonnet 4 anthropic-claude-sonnet-4 From $9.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-sonnet-4) [#### 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 235B A22B Instruct qwen-qwen3-vl-235b-a22b-instruct From $0.54/M tokens](https://modelslab.com/models/open_router/qwen-qwen3-vl-235b-a22b-instruct) [#### open\_router/Meta: Llama 4 Scout meta-llama-llama-4-scout From $0.19/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-4-scout) [#### open\_router/Meta: Llama 3.3 70B Instruct meta-llama-llama-3.3-70b-instruct From $0.21/M tokens](https://modelslab.com/models/open_router/meta-llama-llama-3.3-70b-instruct) [#### 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) [#### open\_router/LiquidAI: LFM2.5-1.2B-Instruct (free) liquid-lfm-2.5-1.2b-instruct-free Free](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free) [#### open\_router/Anthropic Claude Haiku Latest anthropic-claude-haiku-latest From $3.00/M tokens](https://modelslab.com/models/open_router/anthropic-claude-haiku-latest) [#### open\_router/Cohere: Command A cohere-command-a From $6.25/M tokens](https://modelslab.com/models/open_router/cohere-command-a) [#### open\_router/Z.ai: GLM 5 z-ai-glm-5 From $1.26/M tokens](https://modelslab.com/models/open_router/z-ai-glm-5) [#### open\_router/OpenAI: GPT-3.5 Turbo 16k openai-gpt-3.5-turbo-16k From $3.50/M tokens](https://modelslab.com/models/open_router/openai-gpt-3.5-turbo-16k) [#### open\_router/Relace: Relace Search relace-relace-search From $2.00/M tokens](https://modelslab.com/models/open_router/relace-relace-search) 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 4.5V --- GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,... ### Technical Specifications Model IDz-ai-glm-4.5v CategoryLLM Models TaskText Generation Price$1.2 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 4.5V 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-4.5v", "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 4.5V API costs $1.200000 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 4.5V FAQ --- ### What is Z.Ai: GLM 4.5V? GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,... ### How do I use the Z.Ai: GLM 4.5V API? You can integrate Z.Ai: GLM 4.5V 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-4.5v" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Z.Ai: GLM 4.5V cost? Z.Ai: GLM 4.5V costs $1.200000 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 4.5V model ID? The model ID for Z.Ai: GLM 4.5V is "z-ai-glm-4.5v". Use this ID in your API requests to specify this model. ### Does Z.Ai: GLM 4.5V have a free tier? Yes, ModelsLab offers a free tier that lets you try Z.Ai: GLM 4.5V 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*