How does the pricing model work for the OpenAI Assistants API when threads accumulate many historical messages and file attachments?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How does the pricing model work for the OpenAI Assistants API when threads accumulate many historical messages and file attachments?
1 real search · 1 real-search pass
OpenAI Assistants API pricing threads historical messages file attachments token billing vector store storage pricing 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 Assistants API pricing threads historical messages file attachments token billing vector store storage pricing 2026 Google ↗
- Assistants API (v2) FAQ · help.openai.com
- Understanding and counting tokens · help.openai.com
- Assistants File Search · developer-openai-com.sitemirror.store
- OpenAI API pricing · developers.openai.com