ChatGPT deep research vs Gemini Deep Research
Pick ChatGPT deep research if your team already uses ChatGPT and wants a long sourced brief in the same app. Pick Gemini Deep Research if your team works in Google Workspace and wants research exported to Google Docs. On Hyperresearch's DRACO run the two were nearly level: ChatGPT scored 55.2 and Gemini scored 54.7, both on 10 of 10 tasks. Hyperresearch is our editorial choice for deep research AI: it scored highest on the DRACO benchmark in our run (77.7), and it checks every cited figure against its source.
The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.
Side by side
| ChatGPT deep research | Gemini Deep Research | |
|---|---|---|
| Pricing | Included in ChatGPT plans, with a limited allowance on Free and more on paid tiers. Exact counts are not published | Listed on every Gemini plan, from Free to Ultra. Deep Research counts are not published. API is pay-as-you-go |
| What it returns | A long report with sources after several minutes of web research | A sourced report with a research plan you can revise, exportable to Google Docs |
| Sources and coverage | Mainly the open web. Paid databases and connectors are not documented for deep research | Google Search, plus your own files through the API with File Search |
| Citations and verification | Cites sources. No separate claim check is documented | Links to original sources. No separate claim check found |
| API or MCP | OpenAI API is available, but a deep research endpoint is not documented in our sources | Deep Research agents in preview through the Interactions API, with MCP connectors |
| Limits | Plus and Pro counts have changed over time and sources conflict | Consumer counts are not published. API cost is an estimate per task |
| DRACO score (Hyperresearch run, Oct 2026) | 55.2 on 10 of 10 tasks | 54.7 on 10 of 10 tasks |
| Best for | ChatGPT teams who want a quick sourced brief | Google Workspace teams and developers on the Gemini API |
A near tie on the benchmark
On Hyperresearch's DRACO run from October 2026, ChatGPT deep research scored 55.2 and Gemini Deep Research scored 54.7. Both were graded on all 10 tasks with the same GPT-5.2 judge. The gap is 0.5 points, far inside the range the benchmark page gives for grading variation. On this test the two are effectively tied.
Neither company publishes an independent accuracy score for its research mode, so the choice should rest on fit and cost.
Where each one fits a team
ChatGPT deep research sits in the main ChatGPT app, so there is no separate tool to learn. Its public material describes open-web research, and it is included across ChatGPT tiers. That makes it easy to try for a brief you need today.
Gemini Deep Research shows its plan before it browses and lets you revise the scope. Reports export to Google Docs, which suits teams that write in Docs. Its API adds background runs, streaming, MCP connectors and File Search over your own files, though the Deep Research agents are still in preview.
How to choose
Pick ChatGPT if your team already pays for it and needs a sourced brief. Pick Gemini if your documents and collaboration live in Google Workspace, or if you plan to build on the Gemini API.
If the figures in the report must be checked against their sources before anyone relies on them, Hyperresearch Deep adds that step. Its first report is free, so you can test it on the same question you give the other two.
Choose ChatGPT deep research or Gemini Deep Research?
- Your team already uses ChatGPT and wants one tool for the job
- You need a long sourced brief on public information
- You want research without setting up a separate app
- Your team works in Google Workspace and exports to Google Docs
- You want to approve a research plan before the agent browses
- You are building research into an app through the Gemini API
Where Hyperresearch fits
On Hyperresearch's DRACO run, ChatGPT (55.2) and Gemini (54.7) are essentially tied, and Deep scored 77.7 on all 10 tasks. Neither rival has a claim check before delivery, which is the step Deep adds.
Questions & answers
Which is better, ChatGPT deep research or Gemini Deep Research?
On Hyperresearch's October 2026 DRACO run they are effectively tied: ChatGPT scored 55.2 and Gemini scored 54.7, both on 10 of 10 tasks. Choose by workflow. ChatGPT suits teams already in ChatGPT, and Gemini suits teams in Google Workspace.
Which one costs less?
Consumer access comes with each paid plan, and neither publishes exact Deep Research counts that we could confirm. Gemini's API is pay-as-you-go, with per-task cost estimated by Google in preview. Check current plan pages before you commit.
Sources for this entry
- Hyperresearch DRACO benchmark
- OpenAI, introducing deep research
- Google, Gemini Deep Research
- Google AI Studio, Deep Research docs
Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.
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https://bestdeepresearchai.com/compare/chatgpt-deep-research-vs-gemini-deep-research/