But OpenAI isn’t stopping there: it is announcing a smaller version of that model, GPT-4o mini, which it says is “the most cost-efficient small model in the market,” costing developers just $0.15 USD per 1 million tokens a user inputs, and $0.60 for every million they receive back from the model, for third-party apps and services built atop it using OpenAI’s application programming interfaces (APIs). It’s also far cheaper than GPT-4o, which costs $5.00 for 1 million input tokens and $15 per 1 million output tokens. Tokens, as you’ll recall, are the numerical codes that represent semantic units, words, numbers, and other data inside a given large language model (LLM) or small language model (SML) — the latter which GPT-4o mini appears to be (OpenAI did not release the number of parameters, or connections between artificial neurons, the model has, making it difficult to say how large or small it is, but the “mini” name clearly gives an indication.)
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