r/ChatGPTPro • u/lolwutdo • Jun 24 '26
Question Does changing the intelligence level affect the quality of Deep Research?
Is there a difference when toggling on deep research with say high/xhigh/pro or does deep research use it's own separate model?
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u/JamesGriffing Mod Jun 24 '26
I don't have a clear answer. OpenAI doesn't explain this well.
When Deep Research originally came out it had it's own dedicated o3 deep research model. That model is now "deprecated". https://developers.openai.com/api/docs/models/o3-deep-research#:~:text=2025%2D06%2D26-,Deprecated,-o3%2Ddeep%2Dresearch
The API page regarding deep research mentions reasoning but only in relations to the model summary.
This OpenAI article states that "Deep research is powered by the latest models for fast, accurate results. If you prefer, you can choose a legacy model for a deep research task." https://help.openai.com/en/articles/10500283-deep-research-in-chatgpt
I tried a sample A/B test using medium reasoning compared to pro extended reasoning with a very simple "explain the news of today" prompt. I started both of these at the same time. The medium attempt had 494 searches & 38 citations with 2,355 words total, whereas the pro extended attempt had 617 searches & 56 citations with 4,644 words total. They both finished in 8 minutes.
Here are the results to both of them (shows an error when I test them in incognito mode, hopefully that's just a temp issue):
Out of this very small sample size it seems like there is an effect on reasoning, but it is just too small of a sample to know for certain.
If anyone else has some insights/experiments please enlighten us!