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OpenAI, not sure about the small model, but I'll give you a good price for now ^^

Haebom
Recently, OpenAI announced the possibility of lowering the cost of integrating GPT-4 to as little as one-tenth or even one-twentieth of the current price. This is big news for multi-LLM services that utilize diverse Large Language Models (LLMs).

Background of the GPT-4 linkage cost reduction

In June, OpenAI added new features to its GPT-3.5 Turbo and GPT-4 models and reduced the price of previous versions by 75%. As a result, users now pay $0.0015 per 1,000 tokens for input and $0.002 per 1,000 tokens for output, based on the billing standard.

Why lower the linkage fee now?

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Market competition: A variety of LLMs are emerging, making the competition increasingly intense.
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Rising user base: As GPT-4 is used in more ways, the number of users is increasing.
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Technological progress: Model efficiency continues to improve, leading to reduced costs.

Current state and future outlook for multi-LLM services

Multi-LLM services make use of several LLMs for various purposes. Examples include Stack AI, RYUTEN Technologies, Allganize, SK Telecom, and others in the US.

Reasons why Multi-LLM is getting attention

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Multi-purpose use: By leveraging several LLMs within a single service, flexibility is greatly enhanced.
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Cost reduction: Managing multiple LLMs efficiently allows for lower operating costs.
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Becoming a platform: Running multiple LLMs can pave the way for evolving into an AI platform.
Lowering GPT-4’s linkage fee is likely to have a positive impact on multi-LLM services. This shift could reshape competition in the LLM market and increase the likelihood of more diverse services emerging. Ultimately, it’s expected to lead to better offerings for users.
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