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The state of modern answer engines, AI demos, and more! | E1924

This Week in Startups

NOTE

Cost Efficiency in Text Summarization Models

The mixtro model, a by seven eight mixture of experts, charges 27 cents per million input tokens and 28 cents per million output tokens. This leads to significantly low costs, with only fractions of a penny per 10,000 input tokens. In comparison, GPT-4 costs $10 per million input tokens and $30 per million output tokens, making it roughly 50 to 150 times more expensive than mixtro. The decreasing costs, especially in open-source models like mixtro, are crucial for the scalability and affordability of text summarization models in the future.

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