ChatGPT vs Claude vs Gemini

The three frontier models compared side-by-side — pricing, context, coding, multimodality and agents. Updated for 2026.

SpecChatGPT (GPT)ClaudeGemini
MakerOpenAIAnthropicGoogle DeepMind
FlagshipGPT-5 / o-seriesClaude Opus / Sonnet 4Gemini 2.5 Pro
Context400k200k1M
Input $/Mtok~$1.25~$3~$1.25
Output $/Mtok~$10~$15~$10
Free tierChatGPT FreeClaude.ai FreeAI Studio Free
VoiceRealtime APILimitedLive API
Image genYes (gpt-image)NoYes (Imagen)
Video inFrames onlyNoNative
Best forAll-rounder, ecosystemCoding, agents, writingLong context, multimodal, cheap

Pick by use case

  • Coding & agents: Claude Sonnet / Opus.
  • Long context (full codebase, long video): Gemini 2.5 Pro.
  • Realtime voice / image generation: GPT (OpenAI).
  • Cheapest bulk inference: Gemini Flash or Claude Haiku.
  • Best free consumer chat: ChatGPT or Gemini.

FAQ

Which is the best AI model overall in 2026?

There is no single winner. For coding and agents, Claude leads. For long-context and multimodal work, Gemini wins. For the broadest ecosystem and realtime voice, ChatGPT/GPT is the easiest pick. Most teams use 2 of the 3 via a router.

Which is cheapest?

At the flagship tier, GPT-5 and Gemini 2.5 Pro are tied at roughly $1.25 in / $10 out per million tokens. Claude Sonnet is more expensive at $3 / $15. For tiny jobs, Claude Haiku and Gemini Flash are the cheapest options.

Which one should I use for ChatGPT-style chat?

If you mean the consumer chat experience, ChatGPT is the most polished. Claude.ai is preferred for long writing and coding chats. Gemini in the Google app is the best free option with image, audio and video understanding.

Can I switch between them?

Yes — all three expose OpenAI-compatible or simple REST APIs and most agent frameworks (LangChain, Vercel AI SDK, LiteLLM) let you swap providers with one config line.

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