Grok 4.7 is not free: xAI bills its new flagship at $2 per million input tokens and $6 per million output tokens on the public API, and the official developer release notes list no free tier for the model — so anyone wondering is Grok 4.7 free is really choosing between paying per token or reaching the model through a paid product that already includes it. The good news is that the paid routes are cheaper than most people assume, and if you structure your usage around cached input and sensible prompt sizes, Grok 4.7 becomes one of the more affordable frontier models for real agent work. This guide breaks down exactly what xAI charges, where the hidden cost multipliers sit, and the lowest-cost ways to put Grok 4.7 to work in a money-making workflow.
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Is Grok 4.7 Free? What xAI Actually Charges
According to xAI's developer release notes, published September 2026, Grok 4.7 is available on the xAI API under the model name grok-4.7, and it is a metered, pay-per-token model from day one. The baseline pricing is $2 per million input tokens, $0.50 per million cached input tokens, and $6 per million output tokens. There is no mention of a free allowance, a trial tier, or a free developer sandbox for Grok 4.7 anywhere in those release notes. If a site tells you Grok 4.7 is free to use without limits, treat that claim with suspicion — the official documentation says otherwise.
There is one pricing wrinkle you must know before you budget anything: the rates above only apply while your prompt stays below 200,000 tokens. Go over that threshold and the price doubles to $4 per million input, $1 per million cached input, and $12 per million output. For most day-to-day automation that ceiling is generous, but long agent sessions that accumulate huge context can drift over it without you noticing — and your bill quietly doubles when they do.
| Grok 4.7 pricing | Under 200k prompt tokens | Over 200k prompt tokens |
|---|---|---|
| Input (per 1M tokens) | $2 | $4 |
| Cached input (per 1M tokens) | $0.50 | $1 |
| Output (per 1M tokens) | $6 | $12 |
Source: xAI developer release notes, September 2026.
What You Get for the Money With Grok 4.7
The reason Grok 4.7 pricing matters to anyone building an income stream with AI is that the spec underneath it is genuinely strong. Per xAI's release notes, Grok 4.7 ships with a 500,000-token context window, accepts text and image inputs with text-only output, and has no fixed text output limit. It also exposes four reasoning effort settings — low, medium, high (the default) and xhigh — so you can dial how hard the model thinks on a per-request basis. Because output tokens are billed at $6 per million, the amount of reasoning and writing a task triggers feeds directly into what that task costs you, which makes the effort setting a real budgeting lever rather than a novelty.
Two smaller details from the same release notes are worth knowing if you build against the API: on the Responses API, Grok 4.7 always returns encrypted reasoning content even when you do not ask for it, and the model is served on xAI's US regional endpoint. Neither changes your costs, but both matter if you are wiring Grok 4.7 into an automated pipeline and validating responses programmatically.
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Grok 4.7 Fast: The Variant You Cannot Buy Yet
Alongside the standard model, xAI's release notes describe Grok 4.7 Fast, a variant that doubles output speed at twice the token rates. Before you get excited about paying for speed, note the restriction: Grok 4.7 Fast is currently available only through Cursor and Grok Build, not on the public xAI API. So if your plan was to run a latency-sensitive automation on the fast variant via your own API key, that door is closed for now. For most content, research and SEO workflows, standard Grok 4.7 speed is perfectly workable — speed premiums rarely pay for themselves outside real-time products anyway.
The Cheapest Ways to Use Grok 4.7 in 2026
Since the answer to is Grok 4.7 free is a firm no, the practical question becomes how to run it as cheaply as possible. Ranked by impact, these are the levers that matter most:
- Exploit cached input aggressively. Cached input costs $0.50 per million tokens against $2 for fresh input — a 75% discount. If your agent re-sends the same system prompt, knowledge base or instructions on every call, structure requests so that repeated material hits the cache. On high-volume workflows this single change cuts the input side of your bill by most of its weight.
- Stay under the 200k prompt-token threshold. Everything doubles above it. Summarise long session history rather than replaying it, and split monster tasks into smaller runs. The Agent OS approach of keeping working context in files and loading only what a task needs is exactly the pattern that keeps prompts lean.
- Match reasoning effort to the task. High is the default, but a formatting or extraction job does not need xhigh deliberation. Output is your most expensive token class at $6 per million, so shorter, lower-effort responses on routine tasks directly protect margin.
- Use a subscription product that includes it. xAI's release notes confirm Grok 4.7 reaches beyond the raw API — the fast variant, for instance, ships inside Cursor and Grok Build — so a flat-fee tool you already pay for may include the model without separate API billing. Check whatever harness you run before adding another key.
For context on how Grok 4.7's economics compare, OpenAI's new GPT-6 Sol landed at the same $2 per million input price with $10 per million output, as recorded in Simon Willison's 22 September 2026 analysis of the week's releases — so Grok 4.7 currently undercuts it on the output side. If your whole strategy is chasing free-tier models instead, the same trade-offs come up again and again: the write-up on whether Qwen Image 2.1 is free shows how a nominally free model still carries real costs at scale.
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Does a Paid Grok 4.7 Still Make Money Sense?
Run the arithmetic and Grok 4.7's pricing looks very different from a consumer subscription. At $2 per million input tokens, a hefty 10,000-token prompt costs about two cents; a 2,000-token answer costs a bit over one cent at $6 per million output. A content research agent that processes fifty such tasks a day spends roughly $1.50 daily — trivial next to what one ranking article or one closed client is worth. That is the correct mental model: Grok 4.7 is not free, but for structured business workflows it is cheap relative to the output it produces, and the 500k context window means you rarely need to engineer around context starvation the way older models forced you to.
Where the model fits your stack depends on what you run today. If you are already deep into an agent setup, the Hermes Agent OS write-up covers how a well-organised agent layer squeezes more value out of whichever frontier model sits underneath it, and the Goldie Bench write-up covers how the current crop of model brains compare in hands-on tests — worth reading before you commit a workflow to any single provider.
Free Alternatives If You Are Not Ready to Pay
If your budget for experiments is genuinely zero, you do not have to sit out the agent era while Grok 4.7 stays paid. There are legitimately free routes into serious AI work: the guide to using Claude Code free walks through no-cost access paths for Anthropic's coding agent, and the companion piece on Claude Code's free options covers the limits you hit and when they matter. For a broader sweep, the roundup of the best free AI tools for beginners to make money in 2026 lists tools where the free tier is actually workable rather than a demo. The sensible pattern for most people: prototype a workflow on free tooling, prove it produces revenue or saves hours, then upgrade the model layer to something like Grok 4.7 once the workflow has earned its API budget.
One warning from the money side: free-model hopping has a cost of its own. Every switch means re-testing prompts, re-checking output quality and re-wiring integrations. If a workflow is producing income, a few dollars a month of Grok 4.7 usage is usually cheaper than the hours lost chasing whichever model happens to be free this week — the maths in how to make money with AI free makes the same point from the opposite direction.
Is Grok 4.7 Free: The Bottom Line
Grok 4.7 is a paid, metered API model: $2 in, $6 out per million tokens, doubling past 200k prompt tokens, with cached input at a quarter of the fresh-input price and no free tier listed in xAI's September 2026 release notes. The fast variant costs double and is locked to Cursor and Grok Build for now. Treat cached input, prompt discipline and reasoning-effort settings as your three cost levers, and Grok 4.7 comes out as one of the better value frontier models of late 2026 — just not a free one.
If you want the exact agent workflows that turn a few dollars of API spend into ranking content and real income — plus the full Agent OS zip as a free bonus — check out the AI Profit Boardroom and join the operators inside. And if you would rather talk it through first, book a free SEO strategy session and get a plan tailored to your site.
