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GLM

GLM-5V Turbo

z-ai/glm-5v-turbo

Z.ai's vision-coding model with a 200K context — turns screenshots and designs into code, debugs visually, and drives GUI automation.

Pricing

Input$1.20per 1M tokens
Output$4.00per 1M tokens
Cached input$0.24per 1M tokens read from cache

Specifications

Context window200Ktokens
Max output66Ktokens
ProviderGLM
CapabilitiesVision · Reasoning · Function calling
Input typestext, image

Use GLM-5V Turbo

Point your existing OpenAI SDK at xKiro and pass z-ai/glm-5v-turbo as the model. Nothing else in your code changes.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.xkiro.com/v1",
    api_key="YOUR_XKIRO_KEY",
)

response = client.chat.completions.create(
    model="z-ai/glm-5v-turbo",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning

Related models

Call GLM-5V Turbo through the same endpoints you already use.

Get an API key