GLM 5V Turbo

glm-5v-turbo

GLM-5V-Turbo is Z.ai's first native multimodal agent foundation model, designed for vision-based coding and agent-driven workflows. It natively supports image, video, and text inputs, enabling integrated multimodal reasoning and execution. The model excels at long-horizon planning, complex coding, and multi-step task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute”, making it well suited for advanced multimodal automation and real-world agent systems.

Context: 202.8K tokens
Endpoint

Get API Key Compare

Pricing

Input$1.20 / 1M

Output$4.00 / 1M

Cache Write (5m)$1.20 / 1M

Cache Write (1h)$1.20 / 1M

Cache Read$1.20 / 1M

Web Search$0 / 1M

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="glm-5v-turbo",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="glm-5v-turbo",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common7 params

modelmessagesmax_tokenstemperaturetop_pstreamtools

Extended4 params

reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

glm-5v-turbo

Compare with Other Models

See how this model compares to others from the same provider.

GLM 5.3 Flash

GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.

Context: 1M
Input: $0.075/M
Output: $0.25/M

GLM 4.7 Flash

GLM-4.7-Flash is a state-of-the-art 30B-class model designed to strike a strong balance between performance and efficiency. It is specifically optimized for agentic coding scenarios, with enhanced capabilities in code generation, long-horizon task planning, and tool-based collaboration. Among open-source models of comparable size, GLM-4.7-Flash has achieved leading results on multiple public benchmark leaderboards, establishing itself as a competitive and practical choice for advanced developer and agent workflows.

Context: 200K
Input: $0.06/M
Output: $0.40/M

GLM 5 Turbo

GLM-5 Turbo is a high-performance model from Z.ai optimized for fast inference and agent-driven workflows. Designed for real-world environments such as OpenClaw scenarios, it delivers strong performance across long execution chains and complex task pipelines. The model features improved instruction decomposition, tool integration, scheduled and persistent execution, and enhanced stability for extended multi-step tasks, making it well suited for autonomous agents and production automation workflows.

Context: 202.8K
Input: $0.96/M
Output: $3.20/M

GLM 4.6V

GLM-4.6V is a multimodal model built for precise visual understanding and long-context reasoning across images, documents, and mixed media. It handles up to 128K tokens, interprets complex layouts and charts, and supports multimodal function calling. It also enables image-text generation, screenshot-to-HTML workflows, and iterative visual editing for rich perception-to-action tasks.

Context: 131.1K
Input: $0.225/M
Output: $0.75/M