What are the exact API cost differences between fine-tuning a GPT-3.5 model versus using few-shot prompting with GPT-4o?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the exact API cost differences between fine-tuning a GPT-3.5 model versus using few-shot prompting with GPT-4o?
1 real search · 1 real-search pass
OpenAI API pricing GPT-4o input output tokens GPT-3.5 Turbo fine-tuning training price per token 2026Google ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
OpenAI API pricing GPT-4o input output tokens GPT-3.5 Turbo fine-tuning training price per token 2026 Google ↗
- Prompt Caching in the API · openai.com
- Understanding and counting tokens · help.openai.com