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Model comparison

Grok 4.7 vs GPT-6.1 Sol

Grok 4.7 lists at $2 / $6 per 1M tokens and GPT-6.1 Sol at $2 / $10. Grok looks cheaper on output, but cost per finished job tells a different story.

Our verdict

GPT-6.1 Sol is the better default. Artificial Analysis scores it higher (52 against 46) and found Grok 4.7 very verbose, using roughly three times as many output tokens per task as GPT-6 Astra, so a finished job costs more than the rate card suggests. GPT-6.1 Sol also has more than twice the context window (about 1.05 million tokens against 500K). Choose Grok 4.7 when you already work in the xAI, X or Cursor ecosystem; otherwise start with GPT-6.1 Sol. On GPT-6.1 Sol, prompts over 272K input tokens bill at double input and 1.5 times output.

Benchmarks measure test tasks, not your business. Run a real job through both models before you commit.

Side by side

 Grok 4.7GPT-6.1 Sol
LabxAIOpenAI
List price per 1M tokens (input / output)$2 / $6$2 / $10
Scheduled price--
Price notesUnder 200K prompt tokens; $4 / $12 above 200K. Cached input $0.50 per 1M.Prompts over 272K input tokens bill the whole request at 2x input and 1.5x output; cached input $0.10 per 1M.
Example job at list price$3.20$4
Context window500,000 tokens1,050,000 tokens
Released
Open weightsNoNo
Artificial Analysis Intelligence Index46 (Sep 22, 2026 capture)at xhigh effort52 (Oct 1, 2026 capture)

1M tokens in and 200K tokens out. List price only: models write different amounts, so a finished job can cost more or less. (1,000,000 / 200,000)

Common questions

Is Grok 4.7 cheaper than GPT-6.1 Sol?

Per output token, yes: $6 against $10 per 1M. Per finished job it often is not, because Artificial Analysis found Grok 4.7 very verbose.

Which scores higher on independent benchmarks?

Artificial Analysis scored GPT-6.1 Sol 52 (1 Oct 2026 capture) and Grok 4.7 46 (22 Sep 2026 capture).

What are the context windows?

Grok 4.7 has a 500K-token window, with a higher rate above 200K tokens. GPT-6.1 Sol has about 1.05 million tokens, with a surcharge above 272K tokens.

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