Every research-grade model
Claude Opus 4.6 (1M context), GPT-5 Pro (deep synthesis), Gemini 3 Pro (multimodal), DeepSeek R1 (chain-of-thought) — switch models per task, not per subscription.
AI for researchers — depth, sources, every model
Long-context reasoning with Claude Opus 4.6, source-backed search, structured reading library and 350+ models. Built for academic and applied research from $20/month.
Researchers
Perplexity-style search, Claude Opus 4 for long-context reasoning, GPT-5 Pro for synthesis, DeepSeek R1 for cost-efficient analysis — and Keep for your reading library.
Krater pricing · AI model directory · Connected AI apps · Designers
Highlights
Source-backed search
Built-in Perplexity-style web search returns answers with citations — the foundation of any literature review.
Your reading library, structured
Drop PDFs into Keep. @mention them in any chat. Build literature reviews from a corpus that stays with you, not in a tab you closed.
Method-aware, not just answer-aware
Researchers don't just want answers — they want reasoning. DeepSeek R1 and o4 show chain-of-thought; Claude lays out arguments and counter-arguments.
Use cases
Literature review starter
Drop 30 PDFs in Keep. Ask Krater to synthesise the field's current consensus, key disagreements, and unanswered questions.
Source-backed search
Find peer-reviewed sources on a topic with citations. Pull the actual papers into Keep for deeper reading. /research
Method writing
Describe your study. Krater drafts a methods section in your discipline's conventions.
Statistical reasoning
DeepSeek R1 and o4 walk through statistical decisions — assumptions, choice of test, power calculations.
Reviewer-response drafting
Paste reviewer comments. Get a tactful, point-by-point response draft — edit and submit.
Conference and grant abstracts
Convert a manuscript to a 250-word abstract in your conference's style.
Workflow
- Build your corpus: Upload PDFs and reading notes to Keep. They become permanent context for every research chat.
- Synthesise across the field: Long-context models (Claude Opus 4.6, Gemini 3 Pro) reason across 100+ papers at once.
- Draft, don't plagiarise: Krater drafts arguments, methods, abstracts. You write the substantive contribution in your own voice.
- Stay in your method: Generate code for analysis (R, Python, Stata) and have it explained step-by-step. Reproducibility intact.
Frequently asked questions
How is Krater different from Perplexity Pro or Elicit?
Perplexity Pro is excellent at search; Elicit is excellent at structured literature review. Krater combines both alongside Claude Opus 4.6, GPT-5 Pro, Gemini 3 Pro and 340+ other models — the full reasoning stack you actually use across a project. Many researchers keep Elicit for specific lit-review workflows and use Krater as the everyday workspace.
Can I trust Krater's sources?
The search models return real citations you can click and verify. As with any AI tool, never cite a source you haven't read — Krater accelerates your reading list, it doesn't replace primary sources.
How big a corpus can I drop into Keep?
Keep stores hundreds of documents. For reasoning, Claude Opus 4.6 handles 1M tokens (roughly 750,000 words) of context at once — enough for a substantial literature review in one shot.
Will Krater train on my unpublished work?
No. Krater does not train on user prompts or uploaded documents. For sensitive pre-publication or proprietary work, our Enterprise plan adds DPA, EU hosting and dedicated security review.
Is there an academic discount?
Krater's public pricing is straightforward — Pro at $20/month or the yearly equivalent of $16.67/month. For department-wide rollouts or research labs, our Enterprise team can quote multi-seat plans.