Compare AI models in chat, then bring them into your app with one OpenAI-compatible API.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.clssai.com/v1",
api_key=os.environ["CLSSAI_API_KEY"],
)
response = client.chat.completions.create(
model="openai/gpt-5.6-luna",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)ONE API · MANY PROVIDERS
UNIFIED CATALOG
Models, capabilities, context, and prices in one place. Works with the OpenAI SDK.
Browse the full catalogRELIABILITY
Explore model publishers, then inspect hosting endpoints and reference performance on each model page.
View providersSUCCESS POLICY
Understand supported request parameters and the fields the gateway passes through or transforms.
Read the parameters guideOBSERVABILITY
Understand response usage, request costs, key balances and asynchronous settlement.
Understand usage and costSTART HERE
Popular models available through CLSSAI. Reference prices from OpenRouter; missing values are shown as —.
by openai
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
by tencent
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...
by z-ai
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...
QUICKSTART
TRANSPARENT BY DEFAULT
Open-model priority, filterable data policies, and optional request enhancement keep success optimization under your control.