GPT-4.1 Mini vs GPT-5.6 Sol
Pricing, context window and real answers (September 2026)
GPT-4.1 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
 GPT-4.1 Mini | GPT-5.6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input (per 1M tokens) | ¥71.48 | ¥893.5 |
| Output (per 1M tokens) | ¥285.92 | ¥5,361 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥214 | ¥3,574 |
| Context window | 1,047,576 tokens | 1,050,000 tokens |
| Release date | 4/14/2025 | 7/9/2026 |
| Input modalities | image, text, file | file, image, text |
| Throughput (p50) | — | — |
| Arena · overall | #172 · ELO 1,383 | #18 · ELO 1,483 |
| Arena · Japanese | #135 · ELO 1,330 | #5 · ELO 1,503 |
| Arena · coding | #164 · ELO 1,433 | #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-4.1 Mini: ¥285.92 per 1M output tokens, 95% less than GPT-5.6 Sol.
- On the Overall arena board, GPT-5.6 Sol ranks higher (#18; GPT-4.1 Mini is #172).
- On the Japanese arena board, GPT-5.6 Sol ranks higher (#5; GPT-4.1 Mini is #135).
- On the Coding arena board, GPT-5.6 Sol ranks higher (#17; GPT-4.1 Mini is #164).
- For long documents, GPT-5.6 Sol: a 1,050,000-token context window against 1,047,576 for GPT-4.1 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-4.1 Mini
Let's count the number of 'r's in the word "strawberry" step by step:
1. Write down the word: s t r a w b e r r y
2. Look at each letter and check if it is 'r':
- s → not 'r'
- t → not 'r'
- r → yes, 1st 'r'
- a → not 'r'
- w → not 'r'
- b → not 'r'
- e → not 'r'
- r → yes, 2nd 'r'
- r → yes, 3rd 'r'
- y → not 'r'
3. Total number of 'r's found: 3
**Answer:** There are 3 'r's in the word "strawberry".
2.0s176 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-4.1 Mini
The error **"TypeError: Cannot read properties of undefined (reading 'map')"** means that the `users` prop passed to your `UserList` component is `undefined` at the time the component tries to render, so calling `.map()` on it throws an error.
### What's causing the error?
- Your component expects `users` to be an array, but for some reason it is `undefined` when the component renders.
- This could happen if:
- The parent component that passes the `users` prop did not pass it or passed `undefined`.
- The data is being fetched asynchronously and hasn't arrived yet.
- The default prop is missing or no default fallback is handled.
### How to fix it?
You want to ensure `users` is alway…
8.1s465 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-4.1 Mini
Your function is functional but can be improved for readability, performance, and best practices. Here are some suggestions and an improved version of your function:
### Issues and improvements
1. **Imports**: Import at the top of the file rather than inside the function.
2. **Catch specific exceptions**: Avoid bare `except:` clauses. Catch specific exceptions like `requests.RequestException` or `json.decoder.JSONDecodeError`.
3. **Use list comprehension**: Instead of a loop with `append()`, use list comprehension for clarity and conciseness.
4. **Check boolean conditions directly**: Instead of `item["active"] == True`, just use `item["active"]`.
5. **Avoid sleeping after last retry**: No…
5.6s690 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
Frequently asked questions
- Which is cheaper, GPT-4.1 Mini or GPT-5.6 Sol?
- Per 1M output tokens, GPT-4.1 Mini is ¥285.92 and GPT-5.6 Sol is ¥5,361 on FastMetal (yen, before tax), so GPT-4.1 Mini is cheaper.
- How do the context windows of GPT-4.1 Mini and GPT-5.6 Sol compare?
- GPT-4.1 Mini takes 1,047,576 tokens; GPT-5.6 Sol takes 1,050,000.
- Which ranks higher, GPT-4.1 Mini or GPT-5.6 Sol?
- GPT-5.6 Sol ranks higher on the public arena (GPT-4.1 Mini #135, GPT-5.6 Sol #5). Ranks move as the leaderboard updates.
- Can I use GPT-4.1 Mini and GPT-5.6 Sol with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-4.1-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-4.1 Mini and GPT-5.6 Sol from the browser chat and the API. No monthly fee.