GPT-5.6 Terra vs Grok 4.7
Pricing, context window and real answers (September 2026)
GPT-5.6 Terra (OpenAI) and Grok 4.7 (xAI), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.
Specs and pricing
 GPT-5.6 Terra |  Grok 4.7 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Input (per 1M tokens) | ¥357.4 | ¥276.2 |
| Output (per 1M tokens) | ¥2,144.4 | ¥828.6 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥1,430 | ¥691 |
| Context window | 1,050,000 tokens | 500,000 tokens |
| Release date | 7/9/2026 | 9/21/2026 |
| Input modalities | file, image, text | text, image, file |
| Throughput (p50) | — | — |
| Arena · overall | #45 · ELO 1,466 | Unranked |
| Arena · Japanese | #20 · ELO 1,467 | Unranked |
| Arena · coding | #35 · ELO 1,518 | Unranked |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, Grok 4.7: ¥828.6 per 1M output tokens, 61% less than GPT-5.6 Terra.
- For long documents, GPT-5.6 Terra: a 1,050,000-token context window against 500,000 for Grok 4.7.
- If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.
Real answers to the same prompts
Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.
Count the number of 'r's in 'strawberry'
Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.
GPT-5.6 Terra
“strawberry” is spelled:
s t **r** a w b e **r** **r** y
There are **3** occurrences of the letter **r**.
3.6s71 output tokens
Grok 4.7
The word "strawberry" consists of the letters S-T-R-A-W-B-E-R-R-Y.
- The 3rd letter is R.
- The 8th letter is R.
- The 9th letter is R.
This gives a total of 3 R's.
4.7s299 output tokens
Debug This Error
I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…
GPT-5.6 Terra
The error means `users` is `undefined` when `UserList` renders, so React tries to evaluate:
```js
users.map(...)
```
But `.map()` only exists on arrays.
Common causes:
- The parent component does not pass a `users` prop.
- The user data is loaded asynchronously and has not arrived on the first render.
- The API response shape differs from what you expect, e.g. data is in `response.data.users` rather than `response.data`.
- The parent initializes its user state as `undefined` or `null`.
## Fix options
### 1. Initialize users as an empty array
In the parent component:
```jsx
const [users, setUsers] = useState([]);
```
Then pass it normally:
```jsx
<UserList users={users} />
```
An e…
5.8s559 output tokens
Grok 4.7
The error happens because `users` is `undefined` when `UserList` renders, so calling `.map` on it fails.
That usually means the parent rendered `<UserList />` (or `<UserList users={undefined} />`) before data was loaded, or the prop name doesn’t match.
**Fix it in the component** so it tolerates a missing list:
```jsx
function UserList({ users = [] }) {
return (
<ul>
{users.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
);
}
```
Or guard the call:
```jsx
function UserList({ users }) {
return (
<ul>
{(users ?? []).map(user => <li key={user.id}>{user.name}</li>)}
</ul>
);
}
```
**Also check the parent** so you pass an array once data exists:
`…
12.8s393 output tokens
Code Review
Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…
GPT-5.6 Terra
Here are the main areas to improve:
### Issues in the original code
- **Imports inside the function**: Move `requests` and `time` imports to module scope.
- **Bare `except:`**: This catches everything, including `KeyboardInterrupt` and programming errors. Catch `requests.RequestException` (and possibly JSON decoding errors) instead.
- **Status code check**: Prefer `response.raise_for_status()` or `response.ok` over manually checking only for `200`. Successful responses can include other 2xx status codes.
- **`== True`**: Use `if item.get("active"):` instead.
- **Potential `KeyError`**: `item["name"]`, `item["id"]`, and `item["active"]` can fail if the API response is incomplete. Use `.get(…
10.6s939 output tokens
Grok 4.7
## Review
The function works for the happy path, but it hides failures, retries the wrong errors, and is harder to read and debug than it needs to be.
### Issues
1. **Imports inside the function** — move them to module level unless you have a strong reason (circular imports, optional dependency).
2. **Bare `except`** — swallows `KeyboardInterrupt`, `SystemExit`, and programming bugs. Catch specific exceptions.
3. **Retries non-retryable failures** — 4xx (except maybe 429) will not succeed on retry. Network errors and 5xx are the usual candidates.
4. **Sleeps after the last attempt** — wastes up to 2 seconds before returning `[]`.
5. **Unused loop variable** and vague names (`r`, `i`).
6.…
22.3s1525 output tokens
Frequently asked questions
- Which is cheaper, GPT-5.6 Terra or Grok 4.7?
- Per 1M output tokens, GPT-5.6 Terra is ¥2,144.4 and Grok 4.7 is ¥828.6 on FastMetal (yen, before tax), so Grok 4.7 is cheaper.
- How do the context windows of GPT-5.6 Terra and Grok 4.7 compare?
- GPT-5.6 Terra takes 1,050,000 tokens; Grok 4.7 takes 500,000.
- Can I use GPT-5.6 Terra and Grok 4.7 with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-5.6-terra" or "grok-4.7" as the model. Each is billed at its own rate from the same prepaid balance.
Try both on one API key
Create an account and add credit to call GPT-5.6 Terra and Grok 4.7 from the browser chat and the API. No monthly fee.