The GPT-3.5 series includes models capable of understanding and generating both natural language and code. The most efficient and cost-effective variant in this series is the gpt-3.5-turbo. It’s been specially refined for chat applications through the Chat Completions API, though it’s also highly effective for standard completion tasks.
Here’s an overview of the GPT-3.5 models:
- gpt-3.5-turbo-1106: This is the latest version of the GPT-3.5 Turbo model. It boasts enhancements like better adherence to instructions, JSON mode, consistent outputs, and the ability to call functions in parallel. It can generate up to 4,096 tokens. The context window spans 16,385 tokens, with training data up to September 2021.
- gpt-3.5-turbo: This currently corresponds to gpt-3.5-turbo-0613. It has a 4,096 token output limit and uses training data up to September 2021.
- gpt-3.5-turbo-16k: This points to gpt-3.5-turbo-16k-0613 and also has a 16,385 token context window, with training data up to September 2021.
- gpt-3.5-turbo-instruct: Offers similar functionality to GPT-3 era models and is compatible with the legacy Completions endpoint, excluding Chat Completions. It generates up to 4,096 tokens, trained up to September 2021.
- gpt-3.5-turbo-0613: A legacy version of gpt-3.5-turbo from June 13, 2023, which will be phased out by June 13, 2024. It has a 4,096 token limit and training data up to September 2021.
- gpt-3.5-turbo-16k-0613: A legacy version of gpt-3.5-16k-turbo from June 13, 2023, set to be deprecated on June 13, 2024. It has a 16,385 token context window and training data up to September 2021.
- gpt-3.5-turbo-0301: A legacy snapshot of gpt-3.5-turbo from March 1, 2023, which will be deprecated on June 13, 2024. It generates up to 4,096 tokens, with training data up to September 2021.
For optimal performance and cost-effectiveness, the gpt-3.5-turbo model is recommended over other GPT-3.5 models.
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