# Grok 4.7 — API pricing & integration guide | Y-API

> Grok 4.7 is the flagship xAI entry for coding, agentic tasks and knowledge work, with a 500,000-token window and text, image and file input. The publisher highlights long-running software engineering and self-verification.

This is the markdown representation of https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.7. Generated by `scripts/generate-seo-assets.mjs` from the same copy the page renders — do not edit by hand.

Model ID: `x-ai/grok-4.7`

Sources reviewed: 2026-10-11. Y-API catalog snapshot: 2026-10-11.

## Choosing this model

Selection advice by Y-API. The checks below are suggested evaluations, not published test results.

### Where to start

Try it on extended engineering tasks where the model is expected to check its own work — a multi-file refactor, or a debugging session that runs across several tool calls before concluding.

### What to watch for

Self-verification is a publisher claim, not a measured property, so pair it with an external check such as a test suite. The 500,000-token window is shorter than the 1M-token entries elsewhere in this catalog.

## Model specifications

These are OpenRouter model-level specifications, not a Y-API compatibility test. A particular route may accept fewer input formats, parameters or tokens. Verify the features you need with a small request; a successful text response does not validate vision or tool calling.

| Field | Value |
| --- | --- |
| Context window | 500,000 tokens |
| Input | Text, Image, File |
| Output | Text |
| Listed on OpenRouter | 2026-09-21 |
| Parameters listed by OpenRouter | `include_reasoning`, `logprobs`, `max_tokens`, `reasoning`, `reasoning_effort`, `response_format`, `seed`, `stop`, `structured_outputs`, `temperature`, `tool_choice`, `tools`, `top_logprobs`, `top_p` |

## API pricing & cost estimate

| Price basis | Input / 1M tokens | Output / 1M tokens |
| --- | --- | --- |
| Account credit | $2.00 | $6.00 |
| Cash equivalent | $0.20 | $0.60 |

$1 paid adds $10 of credit. Cash equivalent = credit consumed ÷ 10; this is not the model publisher’s list price.

Input tokens / request: 1000. Output tokens / request: 500. Number of requests: 1000.

Estimated credit consumed: $5.00. Estimated cash equivalent: $0.50.

Illustrative token budget, not measured usage or a quote. Includes input and output; excludes separate media charges, cache discounts and retries. Include billed reasoning tokens in your output budget where applicable. Actual billing follows usage returned by the service.

### Same token budget, different models

| Model | Estimated credit consumed | Estimated cash equivalent |
| --- | --- | --- |
| [Grok 4.7](https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.7) | $5.00 | $0.50 |
| [Grok 4.6](https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.6) | $10.00 | $1.00 |
| [GPT-5.6 Sol](https://y-api.bestvirtualgoods.com/models/openai/gpt-5.6-sol) | $20.00 | $2.00 |

[View LLM API pricing & billing](https://y-api.bestvirtualgoods.com/pricing)

## API integration examples

These minimal, text-only requests use the exact Y-API model ID. They do not demonstrate image, audio, video, file or tool support. The output limit also needs room for reasoning; an empty answer with finish_reason=length can mean the budget was exhausted.

Set the TOKEN environment variable to a key from your console. Run this on your server or locally; never expose a key in browser code or a public repository.

### A task to try

Refactor this module to remove the duplicated validation, then state exactly how you verified the behavior did not change.

```bash
curl --fail-with-body --silent --show-error --max-time 120 \
  'https://api.y-api.bestvirtualgoods.com/v1/chat/completions' \
  -H "Authorization: Bearer ${TOKEN:?Set TOKEN first}" \
  -H 'Content-Type: application/json' \
  --data-binary @- <<'JSON'
{
  "model": "x-ai/grok-4.7",
  "messages": [
    {
      "role": "user",
      "content": "Refactor this module to remove the duplicated validation, then state exactly how you verified the behavior did not change."
    }
  ],
  "max_tokens": 4096
}
JSON
```

```python
import json
import os
import sys
import urllib.error
import urllib.request

payload = {
  "model": "x-ai/grok-4.7",
  "messages": [
    {
      "role": "user",
      "content": "Refactor this module to remove the duplicated validation, then state exactly how you verified the behavior did not change."
    }
  ],
  "max_tokens": 4096
}

request = urllib.request.Request(
    "https://api.y-api.bestvirtualgoods.com/v1/chat/completions",
    data=json.dumps(payload).encode("utf-8"),
    headers={
        "Authorization": "Bearer " + os.environ["TOKEN"],
        "Content-Type": "application/json",
    },
    method="POST",
)
try:
    with urllib.request.urlopen(request, timeout=120) as response:
        result = json.load(response)
    print(json.dumps(result, ensure_ascii=False, indent=2))
except urllib.error.HTTPError as error:
    print(error.read().decode("utf-8"), file=sys.stderr)
    raise SystemExit(1)
```

### How to evaluate the result

Confirm the stated verification is something you can reproduce — a test command, a diff, or a specific assertion. Then run the original test suite to see whether the refactor held.

## Before you choose

### Is the 500,000-token window enough for whole-repository work?

It depends on the repository. Measure the token count of the context you actually need before committing to it, and consider retrieval instead of sending the entire tree in one request.

## Sources & scope

Technical facts come from the cited model page and, where available, its linked publisher card. A card describes that checkpoint; it is not proof of the weights a gateway serves. Prices come only from the Y-API catalog. We do not claim measured latency, uptime or benchmark scores for this endpoint.

- [OpenRouter model page & specifications](https://openrouter.ai/x-ai/grok-4.7)
- [Y-API catalog & prices (JSON)](https://y-api.bestvirtualgoods.com/models.json)

## Models to compare

Compare these alternatives on the same inputs. Their descriptions explain different roles; a lower price does not establish equivalent quality.

### [Grok 4.6](https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.6)

Grok 4.6 is an xAI model covering coding, knowledge work and STEM tasks, with a 500,000-token window over text, image and file input. It has since been succeeded by Grok 4.7 in the same lineup.

### [GPT-5.6 Sol](https://y-api.bestvirtualgoods.com/models/openai/gpt-5.6-sol)

GPT-5.6 Sol is the flagship entry of the GPT-5.6 family in OpenRouter’s catalog. Its stated focus is complex reasoning, command-line coding and multi-step problem solving, with text, image and file inputs listed in the reference.

## Links

- HTML version of this page: https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.7
- Site index for agents: https://y-api.bestvirtualgoods.com/llms.txt
- Full reference (single file): https://y-api.bestvirtualgoods.com/llms-full.txt
- OpenAPI 3.1 spec: https://y-api.bestvirtualgoods.com/openapi.json
- Model catalog (JSON, no key needed): https://y-api.bestvirtualgoods.com/models.json
- API base URL: `https://api.y-api.bestvirtualgoods.com/v1`
- Contact: support@bestvirtualgoods.com
- Model catalog: https://y-api.bestvirtualgoods.com/models
- Integration guide: https://y-api.bestvirtualgoods.com/docs