Grok 4.7
Grok 4.7 is xAI's general-purpose model. It reads images and reasons step by step before it answers. It takes up to 500K tokens of context and writes up to 500K per response.
Output price
$3.72
USD / 1M tokens
38% below list price
Add $5, get $5 more on your first top-up.
Same Grok 4.7. 38% less.
Specs.
- Model ID
- grok-4.7
- Made by
- xAI
- Context window
- 500K tokens
- Max output
- 500K tokens
- Endpoint
- /v1/chat/completions
- Billing
- Per token, from one balance
Edge gateways
Requests enter at the gateway nearest your app and go straight to the model, so routing adds very little to each call.
One key, every model
Switch models by changing a string. One prepaid balance covers all of them, billed per token.
Nothing stored
We keep token counts for billing, never your prompts or responses.
Call Grok 4.7 in a minute.
Point any OpenAI-compatible client at our base URL, keep your key in an environment variable, and use the model ID grok-4.7.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.promptsforless.com/v1",
api_key=os.environ["PFL_API_KEY"],
)
response = client.chat.completions.create(
model="grok-4.7",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Cursor guide
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How much does Grok 4.7 cost?
$3.72 / 1M tokens output and $1.24 / 1M tokens input, 38% below xAI's list price. You pay per token from a prepaid balance, with no subscription or minimum. We match your first $5 top-up, so you start with $10 of credit.
Is it the real Grok 4.7?
Yes. Your requests run on xAI's Grok 4.7, not a distilled copy or a substitute. The discount comes from how we buy capacity, not from changing the model.
Which tools can use Grok 4.7?
Anything that speaks the OpenAI API: set the base URL to our endpoint and use the model ID grok-4.7. We have setup guides for Cursor, Codex, OpenCode, the OpenAI and Vercel AI SDKs, LangChain and more.
How fast is it?
Requests go through our edge gateways, so the network hop adds very little on top of Grok 4.7's own generation time. Responses stream back token by token.