[
  {
    "model": "gemini-2.0-flash",
    "object": "model",
    "name": "Gemini 2.0 Flash",
    "version": "1.0",
    "description": "Gemini 2.0 Flash delivers next-gen features and improved capabilities, including superior speed, native tool use, multimodal generation, and a 1M token context window.",
    "inference_params": {
      "max_tokens": 8192,
      "temperature": 0.6,
      "stream": true
    },
    "engine": "google_gemini"
  },
  {
    "model": "gemini-2.0-flash-lite-preview",
    "object": "model",
    "name": "Gemini 2.0 Flash-Lite Preview",
    "version": "1.0",
    "description": "A Gemini 2.0 Flash model optimized for cost efficiency and low latency.",
    "inference_params": {
      "max_tokens": 8192,
      "temperature": 0.6,
      "stream": true
    },
    "engine": "google_gemini"
  },
  {
    "model": "gemini-1.5-flash",
    "object": "model",
    "name": "Gemini 1.5 Flash",
    "version": "1.0",
    "description": "Gemini 1.5 Flash is a fast and versatile multimodal model for scaling across diverse tasks.",
    "inference_params": {
      "max_tokens": 8192,
      "temperature": 0.6,
      "stream": true
    },
    "engine": "google_gemini"
  },
  {
    "model": "gemini-1.5-flash-8b",
    "object": "model",
    "name": "Gemini 1.5 Flash-8B",
    "version": "1.0",
    "description": "Gemini 1.5 Flash-8B is a small model designed for lower intelligence tasks.",
    "inference_params": {
      "max_tokens": 8192,
      "temperature": 0.6,
      "stream": true
    },
    "engine": "google_gemini"
  },
  {
    "model": "gemini-1.5-pro",
    "object": "model",
    "name": "Gemini 1.5 Pro",
    "version": "1.0",
    "description": "Gemini 1.5 Pro is a mid-size multimodal model that is optimized for a wide-range of reasoning tasks. 1.5 Pro can process large amounts of data at once, including 2 hours of video, 19 hours of audio, codebases with 60,000 lines of code, or 2,000 pages of text. ",
    "inference_params": {
      "max_tokens": 8192,
      "temperature": 0.6,
      "stream": true
    },
    "engine": "google_gemini"
  }
]