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grok vs chatgpt · updated october 2026

Grok vs ChatGPT: Grok 4.7 vs GPT-6.1 (2026)

xAI's Grok 4.7, Grok 4.3 and Grok Build against OpenAI's GPT-6 family

Grok and ChatGPT answer the same questions in noticeably different registers. Grok is direct, a little irreverent and quick to reach for what's happening now; ChatGPT is measured, thorough and the safer default for work you'll hand to someone else. On LazySusan, Grok comes as Grok 4.7 (flagship reasoning), Grok 4.3 (fast, 1M context) and Grok Build (tuned for code), and ChatGPT as GPT-6.1 Sol, GPT-6 Astra, GPT-6 Luna and GPT-5.5.

at a glance

Grok and ChatGPT side by side
AttributeGrokChatGPT
MakerxAIOpenAI
Versions on LazySusanGrok 4.7, Grok 4.3, Grok Build, AutoGPT-6.1 Sol, GPT-6 Astra, GPT-6 Luna, GPT-5.5
ToneDirect, informalMeasured, adaptable
Best atLive web and X search, quick takesReasoning, everyday writing, structured output
Largest prompt on LazySusan1M tokens400K tokens
Typical reply, flagship11 tokens (Grok 4.7)77 tokens (Astra)
Typical reply, everyday6 tokens (Grok 4.3)16 tokens (Sol)
Code modelGrok Build, 5 tokensGPT-6.1 Sol or Astra

edge by area

Summary of where each option has the edge
AreaEdge
Tone and styleTie
What's happening nowGrok
Writing and structured workChatGPT
CodeTie
Cost and contextGrok

Tone and style

Grok gets to the point and doesn't pad. Some people find that refreshing; others find it too casual for client-facing work. ChatGPT is more even-handed and better at adapting its tone to a brief.

edge: Tie

What's happening now

Grok is built around live web and X search, which makes it good for questions about the last few hours. ChatGPT can search the web too, but if the question is 'what are people saying about this right now', Grok is the more natural fit. For cited research, Perplexity is better than either.

edge: Grok

Writing and structured work

For reports, summaries, plans and anything with headings, ChatGPT is the more reliable writer. Grok's drafts are livelier but usually need more editing for formal use.

edge: ChatGPT

Code

Grok Build is tuned for programming and is inexpensive, about 5 tokens for a typical reply on LazySusan. GPT-6 Astra is the stronger choice for genuinely hard problems at about 77 tokens. For everyday coding, GPT-6.1 Sol and Grok 4.7 are both capable.

edge: Tie

Cost and context

Grok 4.7 costs about 11 tokens for a typical reply and Grok 4.3 about 6 tokens, against 16 tokens for GPT-6.1 Sol. Grok models accept prompts up to 1M tokens on LazySusan; GPT-6 models up to 400K. GPT-6 Luna, at about 1 token, is the cheapest option of all.

edge: Grok

which to pick

Pick Grok or ChatGPT

Pick Grok if…

  • your questions are about what's happening right now
  • you prefer short, direct answers
  • you want a 1M-token prompt at a low cost per reply
  • you want an inexpensive model tuned for code

Pick ChatGPT if…

  • the output goes to a client, a manager or a reader who expects polish
  • you need careful reasoning on hard problems (Astra)
  • you want tone that adapts to the brief
  • you'd rather the model err on the side of thoroughness

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