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Grok 4.7 vs GPT-6.1 Sol

A side-by-side look at Grok 4.7 from xAI and GPT-6.1 Sol from OpenAI: list prices, context windows, licensing and capabilities, with monthly costs worked out for three common workloads.

Data checked October 10, 2026Open in the compare tool

The short version

  • Lower list price: Grok 4.7, about 1.3× cheaper on a blended basis (three parts input to one part output).
  • Larger context window: GPT-6.1 Sol (1.05M vs 500K tokens).
  • Newer release: GPT-6.1 Sol (September 29, 2026).

Specs side by side

Grok 4.7GPT-6.1 Sol
ProviderxAIOpenAI
ReleasedSep 21, 2026Sep 29, 2026
StatusCurrentCurrent
Weights and licenseClosed ProprietaryClosed Proprietary
TierFrontierAdvanced
Context window500K1.05M
Max output—125K
Input per 1M tokens$2$2
Output per 1M tokens$6$10
Cached input per 1M$0.50$0.10
Input typesText, ImagesText, Images
Reasoning modeYesYes
Tool callingYesYes
ParametersUndisclosedUndisclosed

Highlighted cells are better on that line: lower price or larger limit. List prices, standard tier, checked October 10, 2026.

What they cost for real workloads

Workload (monthly)Grok 4.7GPT-6.1 SolDifference
Support chatbot30,000 conversations a month, 2,000 input and 400 output tokens each$192$240Grok 4.7 saves $48
Document summaries2,000 documents a month, 12,000 input and 800 output tokens each$58$64Grok 4.7 saves $6.40
Coding agent1,000 tasks a month, 60,000 input and 6,000 output tokens each$156$180Grok 4.7 saves $24

Standard rates without caching or batch discounts. Try your own volumes.

Choose Grok 4.7 if

  • you mainly need it for research, which xAI emphasizes for this model
  • cost per token is a deciding factor
  • $2 input and $6 output per million tokens below 200K tokens
  • built-in web search, X search and code execution tools

Choose GPT-6.1 Sol if

  • you mainly need it for enterprise, which OpenAI emphasizes for this model
  • you need more than 500K tokens of context in one request
  • $2 input and $10 output per million tokens, with cached input at $0.10
  • 1.05M-token context window

Our take

Both are positioned for agents, coding, reasoning. On list price the gap is about 1.3×, which matters most for high-volume, input-heavy workloads. Quality differences shift with every release, so treat this page as a shortlist tool: run 20-50 of your real tasks through both, score the outputs, and divide the bill by the number of tasks each one got right.

Read the full profiles: Grok 4.7 and GPT-6.1 Sol. For help designing that test, see how to read LLM benchmarks.

Frequently asked questions

Which is cheaper, Grok 4.7 or GPT-6.1 Sol?

Grok 4.7 has the lower list price: $2 input and $6 output per million tokens, versus $2 and $10. Discounts for caching and batch processing can change the real bill, so price your own token mix.

Which has the bigger context window?

GPT-6.1 Sol accepts 1.05M tokens, compared with 500K for Grok 4.7.

Can I run Grok 4.7 or GPT-6.1 Sol on my own hardware?

Grok 4.7 is closed, so only through hosted APIs. GPT-6.1 Sol is closed, so only through hosted APIs.

Is Grok 4.7 better than GPT-6.1 Sol?

It depends on the task. Public benchmarks and arena rankings move with every release and rarely match a specific workload. Use the specs here to shortlist, then test both on your own prompts and compare accuracy, latency and cost per correct answer.

Still choosing a model?

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