curl "https://api.aisonar.dev/v1beta/models?pageSize=5" \
  -H "x-goog-api-key: sk-your-api-key"

import google.generativeai as genai

genai.configure(
    api_key="sk-your-api-key",
    transport="rest",
    client_options={"api_endpoint": "api.aisonar.dev"}
)

for model in genai.list_models():
    print(model.name)

const response = await fetch(
  "https://api.aisonar.dev/v1beta/models?pageSize=5",
  { headers: { "x-goog-api-key": "sk-your-api-key" } }
);
const { models } = await response.json();
models.forEach(m => console.log(m.name));

{
  "models": [
    {
      "name": "models/gemini-2.5-pro",
      "version": "1.0",
      "displayName": "gemini-2.5-pro",
      "description": "gemini-2.5-pro model available via AI Sonar",
      "inputTokenLimit": 1048576,
      "outputTokenLimit": 65536,
      "supportedGenerationMethods": ["generateContent", "countTokens"],
      "temperature": 1.0,
      "topP": 0.95,
      "topK": 40,
      "maxTemperature": 2.0
    },
    {
      "name": "models/gemini-3.5-flash",
      "version": "1.0",
      "displayName": "gemini-3.5-flash",
      "description": "gemini-3.5-flash model available via AI Sonar",
      "inputTokenLimit": 1048576,
      "outputTokenLimit": 65536,
      "supportedGenerationMethods": ["generateContent", "countTokens"],
      "temperature": 1.0,
      "topP": 0.95,
      "topK": 40,
      "maxTemperature": 2.0
    }
  ]
}