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Docs/Using Keplar

Deep Research

What Deep Research does, who can use it, how much it uses, the in-app run estimate, and the honest limit that web lookups are not live.

Updated October 3, 20261 min read

On this page
  1. Who can use it
  2. What it changes
  3. What it does not do
  4. How much it uses
  5. When it is worth it
  6. When it is not

Deep Research is a mode for longer, multi-step investigation. Switch it on in the composer's options before you send.

Who can use it

Plus, Pro and Business. It is not available on Free or Lite.

What it changes

Turning it on raises the question's complexity a lot, so it gets a wide panel, a verifier and a judge, and a longer answer. A deep run produces a long, structured report rather than a short reply.

What it does not do

Web lookups are not live, so Deep Research draws on what the models know from training. It does not browse for current sources, and Keplar does not check the sources the models cite. For anything that depends on recent facts, treat the output as a map of positions and questions to verify, and do the checking yourself. See Sources and citations.

How much it uses

A Deep Research run is one of the most expensive things you can do. Keplar estimates a typical run at about 1,200 credits, though a real run is metered at its actual cost. When Deep Research is on, the composer shows "About N Deep Research runs left this month". If your remaining allowance cannot cover one run, sending is disabled with an upgrade link, and you can ask without Deep Research instead.

When it is worth it

  • Decisions that are expensive to reverse.
  • Questions where you want every serious position laid out.
  • First-pass literature or landscape maps you will then verify.

When it is not

  • Quick lookups, rewrites and short calculations.
  • Anything that depends on today's facts.
TipFor a lower-cost version, use Most thorough and a precise question with constraints. It gives a wide panel without the long multi-step run.

Related

  • Credits explained: What a Keplar credit is, what costs more or less, how credits are counted from real provider charges, and what does not use credits.
  • Sources, citations and web lookups: What the Sources section really contains, why Keplar does not open or check the links, the status of web lookups, and a checklist for verifying what matters.
  • Which questions use more models: A practical guide to what makes Keplar consult one model, three, or five: question type, length, stakes, forecasts, attachments, Deep Research and thoroughness, with examples.
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On this page

  1. Who can use it
  2. What it changes
  3. What it does not do
  4. How much it uses
  5. When it is worth it
  6. When it is not