ChatGPT is OpenAI's assistant, built around OpenAI's own models. Keplar is an answer layer that sends a non-trivial question to several models from different providers, compares their positions, has a reviewer check the draft against the individual responses and shows where they agreed and differed. Simple questions go to a single model.
They are different shapes of product. ChatGPT is a broad assistant with many features; Keplar is narrower and built around the cross-check. Neither page claims one gives more accurate answers than the other. Accuracy depends on the question and changes with each model release.
What OpenAI lists publicly
- OpenAI's pricing page lists these tiers: Free, Go, Plus, Pro, Business and Enterprise.
- The page says the Go tier may include ads.
- Plus is listed with projects, scheduled tasks, custom GPTs and expanded Deep Research, among other items.
- Plans are listed with usage limits that differ by tier. Check the page for current prices and limits.
Sources, read October 3, 2026: ChatGPT pricing (OpenAI).
Side by side
| Feature | Keplar | ChatGPT |
|---|---|---|
| How an answer is produced | Simple questions: one model. Moderate: a three-model panel and a verifier. Complex: up to five models, a verifier and a judge if the panel disagrees. Free is capped at three. | ChatGPT is built around OpenAI's models. The pricing page does not describe a panel of other providers' models answering each question. |
| Shows where models disagreed | Yes, when more than one position exists. | Not described on the pricing page. |
| Free tier | Yes: up to 50 questions a day under fair use, on free open models. | Yes. |
| Paid plans | Free ($0, up to 50 questions a day under fair use, free open models), Lite ($20), Plus ($45), Pro ($99) and Business (custom). Paid plans meter use in credits (2,400, 6,000 and 13,500 a month) with rolling 5-hour and weekly limits. | Go, Plus, Pro, Business and Enterprise are listed; see OpenAI's page for prices. |
| Deep research | Plus and above (a typical run is estimated at about 1,200 credits). | Listed, with expanded access on Plus. |
| Scheduled tasks and custom GPTs | Agents can run on schedules (Plus and above). Custom GPTs are not offered. | Projects, scheduled tasks and custom GPTs are listed on Plus. |
| Live web lookups in normal answers | No. Deep Research gathers sources; normal questions do not look up the live web. | ChatGPT lists search among its features; see the page. |
| Sources are checked | No. Models' citations are shown labeled as not opened or checked by Keplar. | See OpenAI's documentation. |
| Confidence or accuracy score | None. | See OpenAI's documentation. |
When ChatGPT is the better choice
- You want one assistant with a wide feature set (custom GPTs, voice, image and file tools, a large ecosystem).
- You want live web search built into ordinary answers.
- Your team is standardized on it, or you need OpenAI's business and enterprise offerings.
- You prefer a single model's style and are happy to cross-check yourself.
When Keplar may fit better
- You want important questions answered by several providers' models, with the differences shown.
- You want an answer that says which models responded and which did not.
- You want Study mode, a slideshow creator and a site builder in one place, with credits that show use as a meter.
- You want a free start with no signup.
What this page does not claim
It does not claim Keplar answers more accurately, more safely or more privately than ChatGPT. Keplar's own limits: it has no live web lookups on normal questions, does not open or check sources, and shows no confidence or accuracy score. Keplar is not AGI or superintelligence. See what Keplar cannot do.