XAI · Text chat

grok-4.7 API

grok-4.7 is a text-generation model from XAI. In ServerNet, its chat route accepts conversation messages and returns a generated answer; the price separates input and output tokens.

Preparing

Toman per million tokens

Sale prices will appear after provider configuration is complete.

API model ID
gapgpt-grok-47-459415a966
Model developer
XAI
Service type
Text chat
Current availability
Preparing
Configured context limit
4,096 tokens
Gateway output cap
1,024 tokens

Model features

No additional gateway capabilities have been confirmed for this model.

What is grok-4.7?

Use the public identifier gapgpt-grok-47-459415a966 for grok-4.7 in ServerNet. The gateway uses this identifier to select the configured route; the developer is XAI.

For grok-4.7, compare the route’s actual generation mode and bounded output. Do not infer reasoning access from the model family name.

Where to use grok-4.7

  • Add grok-4.7 to a support assistant that receives the relevant conversation as text.
  • Test grok-4.7 on summaries and extraction using your own documents, with a small output limit first.
  • Compare answer quality, total token usage and cost per completed task before choosing grok-4.7 for production.
SELECTION NOTES

How to evaluate this model

This gateway lists a context limit of 4,096 tokens and an output cap of 1,024 tokens for grok-4.7. Keep instructions, history and the requested response within the applicable limits.

Before you integrate

  • Use a representative test set and check factual accuracy, format and failure cases.
  • Keep the first request bounded. Follow the operation-specific example and its API scope.
  • Record response time and usage in your own environment before setting a production budget.

Conversation & code

Compare output limits, tool calling and streaming on representative prompts.

Compare models ↗

Build your integration

Send system and user messages, set max_tokens and store X-Request-Id with your usage record. Stream only when this route supports it. Function calls describe actions for your application to run; the gateway does not execute your tools.

Inputs and service limits

The current chat route accepts text only and one completion per request. Images, audio and hosted paid tools are not enabled by the source model’s capabilities. The configured context and output limits may be below the developer’s maximum. Test language quality on your own dataset.

Connect to grok-4.7 API

Enable ai:chat on your key and ai:models:read to check availability. Set SERVERNET_API_KEY in your server environment. Change the idempotency key for each new request; keep it unchanged only for an identical retry.

This example documents the request format. Send it only after this model appears in GET /v1/models.

ai:chat
curl https://servernet.cloud/v1/chat/completions \
  -H "Authorization: Bearer $SERVERNET_API_KEY" \
  -H 'Content-Type: application/json' \
  -H 'Idempotency-Key: CHANGE_FOR_EACH_NEW_REQUEST' \
  -d '{
    "model": "gapgpt-grok-47-459415a966",
    "messages": [
        {
            "role": "user",
            "content": "Hello"
        }
    ],
    "max_tokens": 128
}'

Use the same Idempotency-Key when retrying an identical request. Successful responses are replayed without a second charge for 24 hours. Do not automatically retry when x-should-retry:false is present. The key is shown once. Store it in a server environment variable. Keep it out of browser code, GitHub and logs.

Keys, budgets and usage reports

Frequently asked questions

Is grok-4.7 available through ServerNet?

grok-4.7 is currently unavailable for API use. A catalogue listing does not activate billing or access. Choose an available related model or check this page again after the route is verified.

Which model ID and API endpoint should I use for grok-4.7?

Use gapgpt-grok-47-459415a966 as the model field, the endpoint shown below and the matching key scope. ServerNet keys are project-specific; an SDK also needs https://servernet.cloud/v1 as its base URL.

How is grok-4.7 usage charged?

Input and output tokens use separate tariffs. Reported reasoning tokens, where supported, count towards output consumption. Cached input receives a discount only when a verified cached tariff exists. The dashboard records consumption for each request.

What should I check before using grok-4.7 in production?

The current chat route accepts text only and one completion per request. Images, audio and hosted paid tools are not enabled by the source model’s capabilities. The configured context and output limits may be below the developer’s maximum. Test language quality on your own dataset.

Compare models for the same task

Only available models are exposed by the API. Availability requires a configured provider, valid prices and a supported execution path.