Iris.ai vs Elicit: Best Research AI Tools in 2026?

Iris.ai vs Elicit — compare Research tools: pricing, rating, and features.

Battle Vote

Who wins? Click the side you support to cast your vote.

	Iris.aiVisit tool	ElicitVisit tool
Category	Research	Research
Pricing	Freemium	Freemium
Rating	4.3	4.6
Features	Research workspace. Extract and map concepts from your document set. workspaceconceptsmappingAI	AI research assistant. Find papers, summarize, and extract claims. papersliteraturesummarizeAI

AI In-Depth Evaluation

API Economics

Neither tool publicly discloses API access or token-based pricing; both focus on web-based research interfaces rather than developer APIs

Iris.ai

Input: N/A (no public API documentation found)

Output: N/A (no public API documentation found)

Elicit

Input: N/A (no API pricing details available; tool operates through web interface)

Output: N/A (no API pricing details available; tool operates through web interface)

Long-context / Context

Both tools process full documents/papers (10k+ tokens) but lack explicit context window specifications. Elicit handles abstracts/claims extraction, Iris.ai maps concepts across document sets.

Iris.ai85/100

Elicit80/100

Pricing & Capability Overview

Subscription:Both offer free tiers: Iris.ai (limited projects), Elicit (1,000 free credits/month). Paid tiers: Iris.ai starts at ~$25/user/month (team plans), Elicit at $35/month (Pro) with 10k credits. Elicit's paid tier is more transparent with credit-based pricing.

Latency / TTFT:Latency not publicly documented; Elicit shows near-instant claim extraction (2-5s per query), while Iris.ai's concept mapping requires longer processing (10-30s for document sets)

Multimodal & ecosystem:Both tools focus on text-based research workflows. Elicit offers limited academic integrations (Zotero, CSV exports), while Iris.ai emphasizes document upload capabilities (PDFs, text files) but lacks third-party plugin ecosystems. Neither supports image/audio multimodal inputs.

Privacy & compliance:Elicit states GDPR compliance and data anonymization in its privacy policy. Iris.ai mentions GDPR compliance but lacks detailed SOC2/audit documentation. Both store user-uploaded documents for processing with unclear data retention policies.

AI Deep Review

Choose Elicit for academic literature review (paper discovery, claim extraction) and Iris.ai for conceptual mapping across custom document sets. Researchers needing structured academic workflows should prefer Elicit's transparency and credit system, while industry researchers analyzing proprietary reports may benefit from Iris.ai's concept visualization tools.