Model comparison

GPT-4o-mini vs GPT-5.6 Sol

Pricing, context window and real answers (September 2026)

GPT-4o-mini (OpenAI) and GPT-5.6 Sol (OpenAI), 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-4o-miniopenai logoGPT-5.6 Sol
ProviderOpenAIOpenAI
Input (per 1M tokens)¥26.81¥893.5
Output (per 1M tokens)¥107.22¥5,361
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥80¥3,574
Context window128,000 tokens1,050,000 tokens
Release date7/18/20247/9/2026
Input modalitiestext, image, filefile, image, text
Throughput (p50)
Arena · overall#251 · ELO 1,318#18 · ELO 1,483
Arena · Japanese#187 · ELO 1,250#5 · ELO 1,503
Arena · coding#259 · ELO 1,348#17 · ELO 1,528

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

Which should you pick?

  • On price, GPT-4o-mini: ¥107.22 per 1M output tokens, 98% less than GPT-5.6 Sol.
  • On the Overall arena board, GPT-5.6 Sol ranks higher (#18; GPT-4o-mini is #251).
  • On the Japanese arena board, GPT-5.6 Sol ranks higher (#5; GPT-4o-mini is #187).
  • On the Coding arena board, GPT-5.6 Sol ranks higher (#17; GPT-4o-mini is #259).
  • For long documents, GPT-5.6 Sol: a 1,050,000-token context window against 128,000 for GPT-4o-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-4o-mini

To count the number of 'r's in the word "strawberry," we can follow these steps: 1. **Identify the word**: We have the word "strawberry." 2. **Break down the letters**: Let's write out the letters in the word: - s - t - r - a - w - b - e - r - r - y 3. **Locate the 'r's**: Now, we need to look for the letter 'r' among these letters. - In the list of letters, we can see: - The first 'r' is in the 3rd position. - The second 'r' is in the 8th position. - The third 'r' is in the 9th position. 4. **Count the occurrences**: We check each position we identified: - There are three occurrences of 'r' in the word "strawberry." 5. **Conclusion**:…
2.1s239 output tokens

GPT-5.6 Sol

“strawberry” can be split into letters: s, t, **r**, a, w, b, e, **r**, **r**, y The letter **r** appears **3 times**.
3.0s78 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-4o-mini

The error you're encountering, `TypeError: Cannot read properties of undefined (reading 'map')`, indicates that the `users` prop is `undefined` when you try to call the `map` method on it. In your `UserList` component, you're attempting to use `users.map(...)`, but if the `users` prop is not provided or is `undefined`, this will throw an error. ### Fixing the Error 1. **Default Props**: You can set a default value for the `users` prop to prevent the error when it is `undefined`. ```jsx function UserList({ users = [] }) { // Default to an empty array return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ```…
5.0s511 output tokens

GPT-5.6 Sol

The error occurs because `users` is `undefined` when `UserList` renders, so JavaScript cannot call `.map()` on it. This often happens when data is loaded asynchronously or the parent does not pass the prop. ### Fix options **1. Give `users` a default value:** ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` Note that this handles `undefined`, but not an explicitly passed `null`. **2. Handle missing or invalid data explicitly:** ```jsx function UserList({ users }) { if (!Array.isArray(users)) { return <p>No users available.</p>; } return ( <ul> {users.m…
7.1s395 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-4o-mini

Your Python function, `get_data`, essentially performs a GET request, handles retries on failure, and processes the response JSON to return a filtered list of dictionaries. Below, I've highlighted several improvements regarding readability, performance, and best practices: 1. **Avoid blanket exceptions**: It’s best practice to specify which exceptions you expect, allowing for better debugging and error handling. 2. **Use `requests` built-in exception handling**: Handle specific requests exceptions, such as `requests.exceptions.RequestException`. 3. **Improve condition checks**: Check for `item['active']` directly instead of comparing to `True`, which is more Pythonic. 4. **Use `time.sl…
8.8s628 output tokens

GPT-5.6 Sol

### Issues and suggested improvements - Move imports to module scope. - Avoid bare `except:`; it catches programming errors and interrupts such as `KeyboardInterrupt`. - Use `response.raise_for_status()` instead of manually checking only for `200`; other 2xx responses may also be valid. - Retry only transient failures, such as timeouts, connection errors, `429`, and selected `5xx` responses. Retrying most `4xx` errors is not useful. - Use exponential backoff rather than a fixed delay. - Avoid sleeping after the final failed attempt. - Replace `item["active"] == True` with `item.get("active") is True`. - Use a list comprehension for the transformation. - Add type hints and validate arguments…
33.1s1646 output tokens

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Frequently asked questions

Which is cheaper, GPT-4o-mini or GPT-5.6 Sol?
Per 1M output tokens, GPT-4o-mini is ¥107.22 and GPT-5.6 Sol is ¥5,361 on FastMetal (yen, before tax), so GPT-4o-mini is cheaper.
How do the context windows of GPT-4o-mini and GPT-5.6 Sol compare?
GPT-4o-mini takes 128,000 tokens; GPT-5.6 Sol takes 1,050,000.
Which ranks higher, GPT-4o-mini or GPT-5.6 Sol?
GPT-5.6 Sol ranks higher on the public arena (GPT-4o-mini #187, GPT-5.6 Sol #5). Ranks move as the leaderboard updates.
Can I use GPT-4o-mini and GPT-5.6 Sol with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-4o-mini" or "gpt-5.6-sol" 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-4o-mini and GPT-5.6 Sol from the browser chat and the API. No monthly fee.

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