Pricing of Common Models

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What is Pricing of Common Models?

When you use a large language model, you usually pay by the amount of text it reads and writes, counted in “tokens.” A token is about four characters or three-quarters of a word. Providers list a price per 1,000 tokens. For example, GPT-3.5 Turbo may cost around $0.002 per 1,000 tokens, while GPT-4 is much higher, such as $0.03 to $0.06 for prompts and $0.06 to $0.12 for replies. Smaller open-source models like Llama-2 can be free to use if you run them on your own computer, but you still pay for the hardware or cloud time. Vision or audio models often have extra fees because they use more compute. When planning costs, estimate the tokens in each call, multiply by the price, and add any hosting or storage charges.

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Can I learn Pricing of Common Models in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Pricing of Common Models in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Pricing of Common Models tutorial for beginners?

It is lesson 12 of 101 in the free AI Agents roadmap, in stage 11, Pricing of Common Models. If you are new to AI Agents, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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