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GLM

GLM-5.3 Flash

z-ai/glm-5.3-flash

Z.ai's natively multimodal GLM-5.3 Flash (320B-A18B MoE) with a 1M-token context — flagship-class coding and long-horizon agent work at a fraction of the flagship price.

Pricing

Input$0.15per 1M tokens
Output$0.5per 1M tokens
Cached input$0.03per 1M tokens read from cache

Specifications

Context window1Mtokens
Max output66Ktokens
ProviderGLM
CapabilitiesVision · Reasoning · Function calling
Input typestext, image

Use GLM-5.3 Flash

Point your existing OpenAI SDK at xKiro and pass z-ai/glm-5.3-flash 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-5.3-flash",
    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-5.3 Flash through the same endpoints you already use.

Get an API key