Head-to-Head Comparison

ChatGPT vs Perplexity Deep Research

Which Chatbot is right for you? See our complete breakdown.

ChatGPT

9/10 Our Pick Visit ChatGPT
VS

Perplexity Deep Research

6/10 Visit Perplexity Deep Research
FeatureChatGPTPerplexity Deep Research
MegaOne Score9/106/10
CategoryChatbotResearch
Pricing ModelFreemiumFreemium
Starting Price$8.00/mo$20.00/mo
Free TierYesYes
API AvailableNoNo
Open SourceNoNo
iOS AppNoNo
Android AppNoNo
Chrome ExtensionNoNo
CompanyOpenAIPerplexity AI, Inc.
Total Funding$180.0B$1.7B

Visual Comparison

Score Reach Value Team Funding Reviews
ChatGPT Perplexity Deep Research

About ChatGPT

ChatGPT is a versatile AI assistant that generates text, speech, and images, evolving into a comprehensive work environment for individuals and teams.

ChatGPT, developed by OpenAI, has evolved beyond a simple chatbot into a full-fledged AI work environment. As of July 2026, it offers capabilities such as managing ongoing projects, conducting deep research, generating images, analyzing documents, and scheduling tasks. The platform now includes a 'ChatGPT Work' agent for multi-step tasks and a redesigned desktop app, integrating tools like Codex for coding and supporting various professional workflows.

About Perplexity Deep Research

Perplexity Deep Research is an AI-powered search and answer engine that provides synthesized, cited answers from real-time web content.

Perplexity Deep Research is an autonomous AI research agent that conducts multi-step analysis across numerous sources, reads articles, compares data, and compiles detailed reports. It is designed for in-depth analysis, processing uploaded documents, running calculations, and browsing hard-to-reach web sources. The tool aims to provide comprehensive and accurate reports for professional work, adapting its depth, tone, and format based on the research task.

ChatGPT takes the edge

With a MegaOne score of 9/10 versus 6/10, ChatGPT edges ahead of Perplexity Deep Research in our analysis. However, Perplexity Deep Research may still be the better choice depending on your specific use case and budget.