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ChatGPT vs Gemini - Comparison | AI Deck

ChatGPT vs Gemini

Side-by-side comparison — features, pricing, pros and cons

ChatGPT

Freemium

4.5

OpenAI's general-purpose AI assistant now powered by GPT-5.4 with 1M token context and computer-use capability for desktop automation. Supports text, voice, image, file, and code workflows in one interface. Used by 400M+ weekly active users across professional and consumer contexts.

Category:AI Assistants

Features

GPT-5.4 model with 1M token context window
Computer-use feature for desktop task automation
Codex App integration for autonomous coding agents
Voice mode with real-time conversation
DALL-E image generation built in as GPT Image
+3 more

Pros

Largest installed base means most third-party integrations and community resources
GPT-5.4 scores top-3 on most public benchmarks as of Q1 2026
Computer-use reduces need for separate automation tools for desktop workflows
Custom GPTs allow non-developers to build specialized assistants without code

Cons

Plus plan ($20/mo) imposes daily message limits on GPT-5.4; heavy users hit caps before noon
Computer-use feature is US-only and requires desktop app install as of March 2026
Context window degrades in quality above 600K tokens — 1M is theoretical max, not practical
Free tier locks users to older GPT-4o mini model, not GPT-5.4
Codex App autonomous tasks can consume credits unpredictably, reaching $50+ in a single session

Gemini

Freemium

4.3

Google's multimodal AI assistant built on the Gemini 3.1 architecture, notable for deep Google Workspace integration and 77.1% on the ARC-AGI-2 benchmark. Available across free, AI Pro ($20/mo), and Ultra ($250/mo) tiers with progressively larger context and model access. Strongest competitor to ChatGPT for users already in the Google ecosystem.

Category:AI Assistants

Features

Gemini 3.1 Pro model with multimodal input (text, image, audio, video)
77.1% score on ARC-AGI-2 abstract reasoning benchmark
Deep integration with Gmail, Docs, Sheets, Drive, and Meet
NotebookLM integration for research with source citations
Google Search grounding for real-time factual responses
+3 more

Pros

Google Search grounding provides current information without hallucination risk of pure model outputs
Native Google Workspace integration means no copy-pasting between tools for Docs/Sheets users
ARC-AGI-2 score of 77.1% leads all commercial models on abstract reasoning tasks
NotebookLM included in AI Pro tier provides citation-backed research at no extra cost

Cons

AI Ultra at $250/mo is 12.5x the price of Pro with modest real-world gains for most use cases
Gemini 3.1 Ultra access is gated to Ultra tier; Pro users get 3.1 Pro which lags on creative tasks
Google Workspace integration requires organizational admin approval, blocking individual use in enterprise
Voice mode is less natural than ChatGPT's real-time voice in head-to-head comparisons
Data privacy terms differ from ChatGPT; free tier data may be used for model training by default

Tool	ChatGPTView details →	GeminiView details →
Pricing	Freemium	Freemium
Rating	4.5	4.3
Category	AI Assistants	AI Assistants
Description	OpenAI's general-purpose AI assistant now powered by GPT-5.4 with 1M token context and computer-use capability for desktop automation. Supports text, voice, image, file, and code workflows in one interface. Used by 400M+ weekly active users across professional and consumer contexts.	Google's multimodal AI assistant built on the Gemini 3.1 architecture, notable for deep Google Workspace integration and 77.1% on the ARC-AGI-2 benchmark. Available across free, AI Pro ($20/mo), and Ultra ($250/mo) tiers with progressively larger context and model access. Strongest competitor to ChatGPT for users already in the Google ecosystem.
Features
GPT-5.4 model with 1M token context window
Computer-use feature for desktop task automation
Codex App integration for autonomous coding agents
Voice mode with real-time conversation
DALL-E image generation built in as GPT Image
File upload and analysis (PDF, CSV, images, code)
Custom GPTs marketplace with 3M+ published agents
Projects feature for persistent context across sessions
Gemini 3.1 Pro model with multimodal input (text, image, audio, video)
77.1% score on ARC-AGI-2 abstract reasoning benchmark
Deep integration with Gmail, Docs, Sheets, Drive, and Meet
NotebookLM integration for research with source citations
Google Search grounding for real-time factual responses
Code execution sandbox for Python data analysis
AI Ultra tier with access to Gemini 3.1 Ultra model
Gemini API with 2M token context for developers
Pros
	Largest installed base means most third-party integrations and community resources GPT-5.4 scores top-3 on most public benchmarks as of Q1 2026 Computer-use reduces need for separate automation tools for desktop workflows Custom GPTs allow non-developers to build specialized assistants without code	Google Search grounding provides current information without hallucination risk of pure model outputs Native Google Workspace integration means no copy-pasting between tools for Docs/Sheets users ARC-AGI-2 score of 77.1% leads all commercial models on abstract reasoning tasks NotebookLM included in AI Pro tier provides citation-backed research at no extra cost
Cons
	Plus plan ($20/mo) imposes daily message limits on GPT-5.4; heavy users hit caps before noon Computer-use feature is US-only and requires desktop app install as of March 2026 Context window degrades in quality above 600K tokens — 1M is theoretical max, not practical Free tier locks users to older GPT-4o mini model, not GPT-5.4 Codex App autonomous tasks can consume credits unpredictably, reaching $50+ in a single session	AI Ultra at $250/mo is 12.5x the price of Pro with modest real-world gains for most use cases Gemini 3.1 Ultra access is gated to Ultra tier; Pro users get 3.1 Pro which lags on creative tasks Google Workspace integration requires organizational admin approval, blocking individual use in enterprise Voice mode is less natural than ChatGPT's real-time voice in head-to-head comparisons Data privacy terms differ from ChatGPT; free tier data may be used for model training by default
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