What should I look out for regarding hidden costs when upgrading my OpenAI API tier for production workloads?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What should I look out for regarding hidden costs when upgrading my OpenAI API tier for production workloads?
1 real search · 1 real-search pass
OpenAI API pricing billing rate limits usage tiers production costs batch cached input tokens tools storage official docs 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 billing rate limits usage tiers production costs batch cached input tokens tools storage official docs 2026 Google ↗
- official API pricing page · developers.openai.com
- Pricing · platform.openai.com
- Understanding and counting tokens · help.openai.com
- Pricing · developers.openai.com
- Pricing · developers.openai.com
- Reviewing API usage and costs · help.openai.com
- openai-cookbook/articles/per_run_spending_controller_responses_api.md at main · openai/openai-cookbook · github.com
- Open API Usage Dashboard · platform.openai.com