STORM (Stanford) vs ChatGPT Deep Research
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
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ChatGPT Deep Research
OpenAI's cited, multi-step research agent inside ChatGPT
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| RECATOOLS Score | 7.2 / 10 | 7.8 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Freemium |
| Free tier | Free and open source (MIT); hosted research preview is free with sign-in | 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 |
| Paid from | — | Plus $20/mo; Pro 100/200/500 at $100, $200 or $500/mo |
| Has API | ✗ | ✗ |
| Open source | ✓ | ✗ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2024 | 2025 |
| Maker | Stanford University (Stanford OVAL) | — |
| Verdict | 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... |
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... |
| 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.