Use gpt-3.5-turbo-16k for larger context at a higher price
gpt-3.5-turbo-16k offers four times the context length of gpt-3.5-turbo at double the price.
Consider using gpt-3.5-turbo-16k when you need to process or generate text that exceeds the standard context window of gpt-3.5-turbo.
While more expensive per token, it can be more cost-effective than using multiple calls with a smaller context window for large documents.
The model supports approximately 20 pages of text in a single request, with input tokens at $0.003 per 1K and output tokens at $0.004 per 1K.
For tasks requiring a larger input size, gpt-3.5-turbo-16k is available. It provides four times the context length of the standard gpt-3.5-turbo model, allowing for processing of around 20 pages of text per request.
This model offers an expanded context window, enabling it to handle more information in a single interaction, which can be beneficial for complex documents or conversations.
When the standard context window is sufficient, as it is more expensive per token.
- Function calling and other API updates ↗OpenAI · OpenAI News · Jun 13, 2023 · paraphrased
First seen on Subvolts Jun 13, 2023. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Function calling and other API updatesOpenAI · OpenAI News · Jun 13, 2023
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
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Questions people ask
- Which AI tools does this work with?
- The sources used it with ChatGPT.
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- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.