# Grok 4.6 — API pricing & integration guide | Y-API

> 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.

This is the markdown representation of https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.6. Generated by `scripts/generate-seo-assets.mjs` from the same copy the page renders — do not edit by hand.

Model ID: `x-ai/grok-4.6`

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

Evaluate it on technical question answering and code work where you want a second opinion from a different model family than the DeepSeek, Qwen or Claude entries.

### What to watch for

Being the earlier of the two Grok entries, it is the more likely one to be retired first; a production dependency should have a successor configured. The listed window is also shorter than most entries 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 | 2026-08-12 |
| Parameters listed by OpenRouter | `include_reasoning`, `logprobs`, `max_tokens`, `reasoning`, `reasoning_effort`, `response_format`, `seed`, `stop`, `structured_outputs`, `temperature`, `tool_choice`, `tools`, `top_k`, `top_logprobs`, `top_p` |

## API pricing & cost estimate

| Price basis | Input / 1M tokens | Output / 1M tokens |
| --- | --- | --- |
| Account credit | $4.00 | $12.00 |
| Cash equivalent | $0.40 | $1.20 |

$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: $10.00. Estimated cash equivalent: $1.00.

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 4.6](https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.6) | $10.00 | $1.00 |
| [Grok 4.7](https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.7) | $5.00 | $0.50 |
| [Claude Opus 4.7](https://y-api.bestvirtualgoods.com/models/anthropic/claude-opus-4.7) | $17.50 | $1.75 |

[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

Explain why this numerical method can lose precision, and give a concrete input where the error becomes visible.

```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-4.6",
  "messages": [
    {
      "role": "user",
      "content": "Explain why this numerical method can lose precision, and give a concrete input where the error becomes visible."
    }
  ],
  "max_tokens": 4096
}
JSON
```

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

payload = {
  "model": "x-ai/grok-4.6",
  "messages": [
    {
      "role": "user",
      "content": "Explain why this numerical method can lose precision, and give a concrete input where the error becomes visible."
    }
  ],
  "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

Check the explanation against a reference on the method, then run the proposed input through the model and see whether the predicted failure actually appears.

## Before you choose

### Should I use 4.6 or 4.7?

They are separate entries with separate prices, and 4.7 is documented as the successor. Unless you have results pinned to 4.6, start with 4.7 and keep 4.6 as a comparison point.

## 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-4.6)
- [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 4.7](https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.7)

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.

### [Claude Opus 4.7](https://y-api.bestvirtualgoods.com/models/anthropic/claude-opus-4.7)

Claude Opus 4.7 is the Opus-generation model built for long-running, asynchronous agents. It keeps the 1M-token window and text, image and file input of 4.6, and exposes reasoning effort as a selectable parameter.

## Links

- HTML version of this page: https://y-api.bestvirtualgoods.com/models/x-ai/grok-4.6
- 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