GeminiGoogle
13
Google's assistant and model family
- Version
- Gemini 4 Argon
- Cost
- from $16.67/mo
- Model
- Gemini 2.5 Flash Image
Elicit
Elicit · #2 most active of 14 in Search & Research
Finds, screens and extracts data from academic literature at scale.
100
Trust score · Verified
2 data points checked · 2026-11-01
Current version
Research Agent
Entry cost
Free tier · from $49/mo
Changes / 30d
6
The short answers · verified November 8, 2026
- What is the latest version of Elicit?
- The current shipped version of Elicit is Research Agent, as of November 8, 2026.
- How much does Elicit cost?
- Elicit starts at $49 per month on its cheapest paid tier, as of November 8, 2026.
- What AI model does Elicit use?
- Elicit runs primarily on Claude.
Source: Elicit — elicit.com · Reusable under CC BY 4.0 — cite Tomorrow
Capabilities
- Systematic review screening
- Data extraction tables
- 125M paper index
- PDF chat
- Report generation
- Research Agent
- Research Reports
- Systematic Literature Reviews
- Paper Search
- Zotero Integration
- Data Extraction
- Library
- Alerts
- Semantic Search
- Paper Chat
- API Access
- MCP Server
- Custom extractions
- Export (RIS, CSV, BIB, PDF, DOCX)
- Literature Review
- Systematic Reviews
- Zotero Import
- Elicit API
- MCP server
- Zotero integration
- Paper search
- Data extraction
- API access
- PRISMA 2020 compliance
- PRISMA-grade screening
- Semantic search
- Systematic reviews
- Systematic Literature Review
- PRISMA screening
- Systematic Review Workflow
- Systematic Review
- PRISMA 2020 screening
- Custom Extractions
- Paper Library
- Paper Citations
- Explanations
- Collaborative editing
- Explanations for AI-generated answers
- Custom extractions from uploaded papers
- Personalized Alerts
- PRISMA Screening
- Paper Export
- Figures extraction
- Shared research hub
- Explanations for AI answers
- Zotero import
- Routines
- Collaborative Workspace
- Reports
- Collaborative Library
- Elicit Library
- Collaboration
- Systematic literature review
- Research reports
- Semantic paper search
Pricing
Basic
Limited usage, unlimited search/summaries/chat with papers
Free
Pro
Standard usage for Research Agent, Reports, Systematic Reviews, routines, custom extractions, API access
$49
Scale
5x usage, figures extraction/interpretation, real-time collaboration
$229
Enterprise
Custom usage, PRISMA-grade screening, SSO, custom deployments
Free
Entry price over time
Geek mode
Models under the hood
- disclosed
Claude
Anthropic
- disclosed
Elicit Research Agent
Elicit
- inferred
GPT-5.2
OpenAI
Context window
Not published
Public API
yes
Multi-model routing
no
Stack signals
- mcp-server
Shared model stack
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
- Claude+1 aliasAnthropic · 47 products
- GPT-5.2OpenAI · 20 products
- Elicit Research AgentElicit · 1 product
green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.
Reported scale
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
No public usage figure on record for this product.
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- Version
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Perplexity
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4
Answer engine with citations
- Version
- Teammates, fully local Computer on Mac, and Voice mode (Nov 2026)
- Cost
- from $20/mo
- Model
- Claude Opus 4.5
ChatGPT Deep Research
OpenAI
2
Multi-step research reports
- Version
- Deep Research
- Cost
- from $20/mo
- Model
- GPT-5.2 Thinking
Exa
Exa
1
Search API built for AI
- Version
- 3.0
- Cost
- Free tier · from $1,000/mo
- Model
- agentic models
Consensus
Consensus
Evidence-based answers from science
- Version
- 2025 platform
- Cost
- Free tier · from $9/mo
- Model
- GPT-5.2
Elsewhere on the same models
Products in other segments that name one of Elicit's models in their stack.
Agentforce
Salesforce
1
Autonomous service and sales agents grounded in CRM data.
- Version
- Agentforce
- Cost
- from $2/mo
- Model
- Claude
AI/BI Genie
Databricks
6
Ask your lakehouse questions
- Version
- Genie
- Cost
- No per-seat or per-license fees. Included with Databricks Lakehouse (standard DBU rates apply).
- Model
- Claude
Enterprise assistant grounded in a company's AWS-connected content.
- Version
- Amazon Q Business
- Cost
- Free tier · from $3/mo
- Model
- Claude
Amazon Q Developer
AWSUnited States
4
AWS-native coding agent
- Version
- Developer
- Cost
- Free tier · from $19/mo
- Model
- Claude
Breeze
HubSpot
3
AI across the CRM
- Version
- Agent Hub
- Cost
- Free tier · from $20/mo
- Model
- GPT-5.2
CoCounsel
Thomson Reuters
Legal assistant on Westlaw
- Version
- 2026 platform
- Cost
- Enterprise contract pricing
- Model
- Claude
Change history
- pricing
- pricing
- pricing
- capability
- capability
- pricing
- pricing
- capability
New capabilities: Systematic literature review
57 tracked58 tracked · +Systematic literature review
source - pricing
- pricing
- capability
- pricing
- pricing
- pricing
- pricing
- pricing
- pricing
- pricing
- pricing
- capability
- pricing
- pricing
- capability
- pricing
- pricing
- capability
- pricing
- capability
New capabilities: Routines, Collaborative Workspace
51 tracked53 tracked · +Routines, Collaborative Workspace
source - pricing
- capability
- capability
New capabilities: Explanations for AI answers
49 tracked50 tracked · +Explanations for AI answers
source - pricing
- pricing
- capability
- capability
- pricing
- capability
- pricing
- pricing
- pricing
Elicit compared
Straight head-to-head pages against the busiest products in Search & Research.
How to cite this page
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/elicit
APA
Tomorrow. (2026). Elicit — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-11-08, from https://tomorrow.aliensquad.ai/tools/elicit
BibTeX
@misc{tomorrow-tools-elicit,
author = {{Tomorrow}},
title = {Elicit — version, pricing and model stack},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/tools/elicit}},
note = {Accessed: 2026-11-08}
}