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Stacks/ research-max-stack

Research Max Stack

Heavy research and multimodal reading — scientific search, synthesis, grounded Q&A and long-context analysis.

Open in Noemium

observed by @whysanesandersVerified 2026-08-19

$319/mo

difficulty: intermediate

Shoestring tradeoff. Perplexity Pro (not Max) plus Consensus Premium and free NotebookLM / AI Studio / ChatGPT. No Elicit extraction tables, no uncapped Perplexity. A literature sketch works; a systematic review will stall on caps.

The components — what each one costs

  • Google AI Studio / Gemini APIfree tier (text models); paid from $0.75/1M input (Gemini 3.7 Flash promo till 2027-01)
  • Perplexityfree tier; Pro $20/mo, Max $200/mo
  • Consensusfree tier; Pro $20/mo ($144/yr), Deep $65/mo ($540/yr)
  • Elicitfree tier; Plus $11/mo, Pro $39/mo (billed yearly)
  • NotebookLMfree; Plus via Google AI Plus $4.99/mo; Pro via Google AI Pro $19.99/mo
  • ChatGPTfree tier; Go $8/mo, Plus $20/mo, Pro from $100/mo
  • Total$319/mo

The recipe

  1. Dump papers and sources into NotebookLM. It builds a grounded notebook over your uploads and answers from those sources, not the open web. The audio overview is useful for long review sessions.
  2. Scientific claims first in Consensus. Ask “what does the evidence say about X?” and get a consensus meter plus study-quality flags. It keeps you from over-reading a single paper.
  3. Structured extraction in Elicit (Pro $39/mo). Pull methods, results and sample sizes into tables across dozens of papers. The free tier is enough to test; real literature reviews need Pro.
  4. Deep search and source surf in Perplexity (Max $200/mo). Cited web search for background context, market data and fast fact-checks. Max is the tier that removes the hard caps on research-scale querying.
  5. Long-context analysis in Google AI Studio (~$50/mo pay-as-you-go). Paste whole PDFs, datasets or multi-modal sources into Gemini’s million-token context. Heavy research volume adds up even at Flash promo rates; the free tier is only enough to test the workflow.
  6. ChatGPT Plus ($20/mo) as the second brain. General synthesis, rewriting and explaining across sources. Route the deep scientific search to Consensus and Elicit so ChatGPT handles interpretation, not fact retrieval.
  7. Keep a reading queue, not a search spiral. The danger with this stack is researching forever. Define the question before you open any tool.

What you pay

  • Google AI Studio — pay-as-you-go, ~$50/mo. Gemini Flash handles huge documents and multimodal inputs at promo rates; sustained research volume pushes a real monthly bill past the free quota.
  • Perplexity — Max, $200/mo. The only tier that keeps up with heavy research queries without daily throttling; Pro is fine for casual search.
  • Consensus — Premium, $10/mo. Unlocks full study access and advanced filters; the free tier is enough to verify whether the tool fits your field.
  • Elicit — Pro, $39/mo. The paid tier that exports structured extractions at literature-review scale; Plus is too tight for dozens of papers.
  • NotebookLM — free tier, $0/mo. Grounded Q&A and audio overviews are fully free for research notebooks; upgrade only if you hit source limits.
  • ChatGPT — Plus, $20/mo. General synthesis and rewriting without the Pro price tag; the scientific heavy lifting lives in Consensus and Elicit.

When this breaks down

This stack is overkill for a single paper or a quick answer. It earns its price when you are doing systematic reviews, thesis chapters or multi-source reports. It also still hallucinates at the synthesis layer — never trust a generated claim without chasing the citation back to the original source.

Sources

  1. 1aistudio.google.com
  2. 2perplexity.ai
  3. 3consensus.app
  4. 4elicit.com
  5. 5notebooklm.google
  6. 6chatgpt.com

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