Model comparison

Grok 4.7 vs Pareto

Pricing, context window and real answers (September 2026)

Grok 4.7 (xAI) and Pareto (Unbiased), 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

x-ai logoGrok 4.7Pareto
ProviderxAIUnbiased
Input (per 1M tokens)¥276.2¥446.75
Output (per 1M tokens)¥828.6¥1,340.25
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥691¥1,117
Context window500,000 tokens262,144 tokens
Release date9/21/20269/17/2026
Input modalitiestext, image, filetext, image
Throughput (p50)
Arena · overallUnrankedUnranked
Arena · JapaneseUnrankedUnranked
Arena · codingUnrankedUnranked

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, 38% less than Pareto.
  • For long documents, Grok 4.7: a 500,000-token context window against 262,144 for Pareto.
  • 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.

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

Pareto

To count the number of 'r's in the word "strawberry," let's break it down letter by letter: 1. **s** - not an 'r' 2. **t** - not an 'r' 3. **r** - **Yes**, this is the first 'r'. 4. **a** - not an 'r' 5. **w** - not an 'r' 6. **b** - not an 'r' 7. **e** - not an 'r' 8. **r** - **Yes**, this is the second 'r'. 9. **r** - **Yes**, this is the third 'r'. 10. **y** - not an 'r' Counting the occurrences: - The 3rd letter is 'r'. - The 8th letter is 'r'. - The 9th letter is 'r'. There are **3** 'r's in "strawberry".
5.5s225 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…

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

Pareto

The error means `users` is `undefined` when `UserList` renders. Destructuring a prop does **not** protect against it: ```jsx function UserList({ users }) { // users can still be undefined return <ul>{users.map(...)}</ul>; // 💥 } ``` This usually happens when: - The parent renders `<UserList />` without passing `users` - The parent’s state starts as `undefined` before an async fetch finishes - The API response is not an array, or `users` is passed as `undefined` ## Fix 1: Default the prop to an empty array ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This works when…
11.6s1478 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):…

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

Pareto

The function is straightforward, but its error handling hides failures and retries requests that may never succeed. ### Main improvements - **Move imports to module scope** for readability and conventional dependency management. - **Avoid bare `except:`.** It catches everything, including programming errors and `KeyboardInterrupt`. Catch specific request failures instead. - **Retry selectively.** Timeouts, connection failures, rate limits, and certain server errors may be temporary; most other HTTP errors should surface immediately. - **Use exponential backoff** and avoid sleeping after the last attempt. - **Use a list comprehension** to express the filtering and transformation directly. -…
30.3s1090 output tokens

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Frequently asked questions

Which is cheaper, Grok 4.7 or Pareto?
Per 1M output tokens, Grok 4.7 is ¥828.6 and Pareto is ¥1,340.25 on FastMetal (yen, before tax), so Grok 4.7 is cheaper.
How do the context windows of Grok 4.7 and Pareto compare?
Grok 4.7 takes 500,000 tokens; Pareto takes 262,144.
Can I use Grok 4.7 and Pareto with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "grok-4.7" or "pareto" 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 Grok 4.7 and Pareto from the browser chat and the API. No monthly fee.

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