ChatGPT Deep Research vs STORM (Stanford)
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
ChatGPT Deep Research
OpenAI's cited, multi-step research agent inside ChatGPT
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| RECATOOLS Score | 7.8 / 10 | 7.2 / 10 |
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| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | Free and Go plans include limited deep research; OpenAI publishes no task counts — an in-product counter shows tasks left and resets every 30 days | Free and open source (MIT); hosted research preview is free with sign-in |
| Paid from | Plus $20/mo; Pro 100/200/500 at $100, $200 or $500/mo | — |
| Has API | ✗ | ✗ |
| Open source | ✗ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2025 | 2024 |
| Maker | — | Stanford University (Stanford OVAL) |
| Verdict | Deep research is the most consequential agent mode in ChatGPT: give it an open-ended question and it plans, browses and reads for 5 to 30 minutes before handing back a structured, cited report — work that would take an a... |
STORM is a clear example of structure-first long-form generation: it surveys perspectives, simulates source-grounded interviews and outlines before drafting, which in Stanford's evaluation produced better-organised and b... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.