{
    "chat": {
        "llama3-8b-8192": {
            "description": "LLaMA3 8b",
            "inputTokens": 8192,
            "inputTokenPrice": 0.05,
            "outputTokens": 8192,
            "outputTokenPrice": 0.08
        },
        "llama3-70b-8192": {
            "description": "LLaMA3 70b",
            "inputTokens": 8192,
            "inputTokenPrice": 0.59,
            "outputTokens": 8192,
            "outputTokenPrice": 0.79
        },
        "llama2-70b-4096": {
            "description": "LLaMA2 70b",
            "inputTokens": 4096,
            "inputTokenPrice": 0.7,
            "outputTokens": 4096,
            "outputTokenPrice": 0.8
        },
        "mixtral-8x7b-32768": {
            "description": "Mixtral 8x7b",
            "inputTokens": 32768,
            "inputTokenPrice": 0.24,
            "outputTokens": 32768,
            "outputTokenPrice": 0.24
        },
        "gemma-7b-it": {
            "description": "Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.",
            "inputTokens": 8192,
            "inputTokenPrice": 0.07,
            "outputTokens": 8192,
            "outputTokenPrice": 0.07
        }
    }
}