GLM 5.3

Chat Completions

glm-5.3

Z.ai|Created Aug 18, 2026|1.0M context

Chat Completions

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.

Overview Specifications Activity Performance Uptime Examples API Reference

Compare

Pricing-50%

Pay-as-you-go rates for this model. More details in the billing guide.

Input Tokens (1M)

$0.70

Cached Input Tokens (1M)

$0.13

Output Tokens (1M)

$2.20

Capabilities

Input Modalities

Text

Output Modalities

Text

Supported Parameters

Available parameters for API requests

Max Completion TokensPresence PenaltyResponse FormatTemperatureTool ChoiceToolsTop PFrequency PenaltyLogit BiasLogprobsStopReasoning EffortParallel Tool CallsPrediction

Usage Analytics

Token usage of this model on our platform

Not enough activity data to display a chart

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="glm-5.3",
    messages=[
        {"role": "user", "content": "What's 2+2?"}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)