I’m using Deep Research by API with websearch tool. It counts way more Input tokens than it should be. Even with small input prompt, I get couple millions of tokens usage. In the screenshots you can see, that I have too much cached and noncached input tokens usage which I never used. And as a consequence, it burned a lot of money in my OpenAI account. It looks like bug in Deep Research api.
Customer support is ignoring me. Please help!
Welcome to the OpenAI dev community, @Rustemov_Bauyrzhan.
The deep research models are agentic models, which per the Deep Research docs:
The
o3-deep-researchando4-mini-deep-researchmodels can find, analyze, and synthesize hundreds of sources to create a comprehensive report at the level of a research analyst.
Thus, the input costs would correspond to the web search result ingestion and analysis.
Yes, I know. But I’m talking about high input tokens consumption. And as you can see there are reasoning tokens usage calculation.
And also, over 2 mln input tokens usage with one small query - do you think it is ok?
I have been talking about this too .. here. O3-deep-research - 1 million tokens spent .. no output :( - #28 by jlvanhulst
have you found that the Deep Research though the API is more capable than Deep Research on chatgpt?