ChatGPT vs Gemini

Detailed comparison of ChatGPT and Gemini. See which tool is best for your specific needs.

ChatGPT logo
ChatGPT

The default AI assistant, backed by the GPT-5.6 model family

Starting atFree
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Gemini logo
Gemini

Google's assistant, deepest multimodal input and Workspace integration

Starting atFree
View full review →

ChatGPT vs Gemini: Features, Pricing and Ecosystem

ChatGPT has the deeper feature set and the larger context window; Gemini is cheaper at every comparable tier and takes more input types. The decision usually follows which productivity suite you already pay for.

Verdict

Choose ChatGPT for the richest standalone assistant. Choose Gemini if you live in Google Workspace or need audio and video input, and to cut per-token spend.

API PricingGemini

Gemini 3.1 Pro at $2.00 / $12.00 per 1M undercuts GPT-5.6 Sol at $5.00 / $30.00 by more than half, though Gemini doubles above 200K context while OpenAI does not.

Context WindowChatGPT

GPT-5.6 carries 1.05M tokens against Gemini's 1M — a narrow win, and both are far ahead of Grok's 500K flagship.

Input TypesGemini

Gemini handles text, image, audio, video, and PDF natively. ChatGPT covers text, image, and audio but is weaker on native video input.

Feature BreadthChatGPT

Custom GPTs, code execution, and the third-party plugin ecosystem remain ahead of anything Gemini ships.

Productivity IntegrationGemini

Gemini is native to Docs, Gmail, and Workspace. ChatGPT integrates with Microsoft surfaces mainly through Copilot rather than directly.

Choose ChatGPT if

  • You want the most capable standalone assistant regardless of suite
  • You rely on custom GPTs or the plugin ecosystem
  • You need the largest available context window

Choose Gemini if

  • Your organisation runs on Google Workspace
  • You need native audio or video input
  • Per-token cost is the deciding factor

Last updated 2026-08-13

FeatureChatGPTGemini
Starting PriceFreeFree
Free Tier
Context Window1.05M tokens1M tokens
Vision Input
Reasoning Mode
Open Weights
Web Search
API Access
API Access
Top Pros
  • Broadest feature set of any assistant (code execution, files, images, voice, custom GPTs)
  • Largest published context window of the closed flagships at 1.05M tokens
  • Three clearly separated price tiers from $0.20 to $5.00 per 1M input tokens
  • Widest native input support — text, image, audio, video and PDF in one model
  • Flash tier is among the cheapest capable models at $0.75 / 1M input
  • Native Google Workspace, Docs and Gmail integration
Main Cons
  • Highest output-token pricing of the mainstream flagships at $30 / 1M on Sol
  • Model tier naming (Sol / Terra / Luna) is harder to reason about than a simple ladder
  • No open-weight route — full vendor lock-in
  • Pro pricing doubles above 200K context, which penalises exactly the long-document work you'd buy it for
  • Flash pricing is promotional and increases on 2027-01-01
  • Flagship Pro tier still carries a 'preview' label
Best For
general assistantcodingresearchteams
multimodalworkspace integrationcost sensitiveresearch

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