GLM-5.3
everyais/glm-5-3
GLM-5.3 (everyais/glm-5-3) availability, capabilities, context limits, and public reference pricing on everyais.
Available now
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-02-11
- Context window
- 1.0M
- Price unit
- Per 1M tokens
- Maximum output
- 128,000
- Model reference price (USD)
- Input / 1M tokens
- $1.4
- Output / 1M tokens
- $4.4
Capabilities
- No capability information published
Supported endpoints
- /v1/chat/completions
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/glm-5-3",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Compare models side by side
Compare capabilities, context windows, and reference prices to find a model for your use case. Your actual billed rate can differ by account.