Model comparison

GPT-5 Mini vs Grok 4.5

Pricing, context window and real answers (September 2026)

GPT-5 Mini (OpenAI) and Grok 4.5 (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

openai logoGPT-5 Minix-ai logoGrok 4.5
ProviderOpenAIxAI
Input (per 1M tokens)¥44.68¥357.4
Output (per 1M tokens)¥357.4¥1,072.2
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥223¥894
Context window400,000 tokens500,000 tokens
Release date8/7/20257/8/2026
Input modalitiestext, image, filetext, image, file
Throughput (p50)
Arena · overall#163 · ELO 1,390#42 · ELO 1,468
Arena · Japanese#109 · ELO 1,365#37 · ELO 1,443
Arena · coding#172 · ELO 1,431#33 · ELO 1,518

Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.

Which should you pick?

  • On price, GPT-5 Mini: ¥357.4 per 1M output tokens, 67% less than Grok 4.5.
  • On the Overall arena board, Grok 4.5 ranks higher (#42; GPT-5 Mini is #163).
  • On the Japanese arena board, Grok 4.5 ranks higher (#37; GPT-5 Mini is #109).
  • On the Coding arena board, Grok 4.5 ranks higher (#33; GPT-5 Mini is #172).
  • For long documents, Grok 4.5: a 500,000-token context window against 400,000 for GPT-5 Mini.
  • 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 Mini

We examine the word "strawberry" letter by letter: 1. s — not an r (count = 0) 2. t — not an r (count = 0) 3. r — an r (count = 1) 4. a — not an r (count = 1) 5. w — not an r (count = 1) 6. b — not an r (count = 1) 7. e — not an r (count = 1) 8. r — an r (count = 2) 9. r — an r (count = 3) 10. y — not an r (count = 3) Total number of 'r's = 3.
5.2s382 output tokens

Grok 4.5

The word "strawberry" is spelled as follows: **s-t-r-a-w-b-e-r-r-y** - Position 1: **s** - Position 2: **t** - Position 3: **r** ← (1st "r") - Position 4: **a** - Position 5: **w** - Position 6: **b** - Position 7: **e** - Position 8: **r** ← (2nd "r") - Position 9: **r** ← (3rd "r") - Position 10: **y** There are **3** occurrences of the letter "r".
6.5s350 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 Mini

That error means users is undefined when you call users.map(...). map is an Array method, so calling it on undefined throws "Cannot read properties of undefined (reading 'map')". Common causes - The parent component didn't pass a users prop. - users is still loading (e.g. fetched asynchronously) and is null/undefined until the fetch completes. - The parent initialized users to null instead of an empty array. How to fix Choose one or more of these approaches depending on your app: 1) Initialize the parent state as an array If users is state in the parent, initialize it to [] so the child always receives an array: const [users, setUsers] = useState([]); // fetch and setUsers(data) 2) Give…
8.0s966 output tokens

Grok 4.5

The error occurs because `users` is `undefined` when the component renders, so calling `.map()` on it fails. This commonly happens when: - The parent component doesn’t pass a `users` prop at all - The data is loaded asynchronously and is still `undefined` on the first render - The prop is accidentally set to `undefined`/`null` instead of an array ### Fixes **1. Default to an empty array (simplest)** ```js function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` **2. Optional chaining (also fine)** ```js function UserList({ users }) { return ( <ul> {users?.map(user => (…
7.9s507 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 Mini

Thanks — this is a nice simple function, but it can be improved in several ways: move imports to module scope, avoid broad except:, use connection pooling (Session) for performance, use specific exception types, add logging and docstring, avoid comparing to True, use list comprehensions, validate JSON shape, and implement backoff (or use urllib3 Retry). Below are two improved alternatives and a short rationale for the changes. 1) A simple, clear improvement (small changes, explicit errors, backoff + jitter) - Moves imports to top-level - Uses requests.Session for connection pooling - Catches specific exceptions (requests.RequestException, ValueError) - Uses list comprehension and item.get(…
13.6s1702 output tokens

Grok 4.5

## Code Review: `get_data` ### Issues | Area | Problem | |------|---------| | **Imports** | `requests` / `time` inside the function — re-imported on every call; belong at module level | | **Exceptions** | Bare `except:` swallows `KeyboardInterrupt`, `SystemExit`, and hides bugs | | **Boolean check** | `item["active"] == True` is unidiomatic; truthiness is enough | | **Loop** | Manual `for` + `append` can be a list comprehension | | **Retries** | Sleeps on non-200 but never logs or distinguishes failure modes; unused loop variable `i` | | **Robustness** | No guard for non-list JSON, missing keys (`KeyError`), or invalid JSON | | **API** | Magic numbers (`timeout=10`, `sleep=2`); no docstrin…
25.3s1363 output tokens

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Frequently asked questions

Which is cheaper, GPT-5 Mini or Grok 4.5?
Per 1M output tokens, GPT-5 Mini is ¥357.4 and Grok 4.5 is ¥1,072.2 on FastMetal (yen, before tax), so GPT-5 Mini is cheaper.
How do the context windows of GPT-5 Mini and Grok 4.5 compare?
GPT-5 Mini takes 400,000 tokens; Grok 4.5 takes 500,000.
Which ranks higher, GPT-5 Mini or Grok 4.5?
Grok 4.5 ranks higher on the public arena (GPT-5 Mini #109, Grok 4.5 #37). Ranks move as the leaderboard updates.
Can I use GPT-5 Mini and Grok 4.5 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-5-mini" or "grok-4.5" 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 Mini and Grok 4.5 from the browser chat and the API. No monthly fee.

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