GPT-5.6 Sol vs Qwen3.7 Max
Pricing, context window and real answers (August 2026)
GPT-5.6 Sol (OpenAI) and Qwen3.7 Max (Qwen), 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 Sol |  Qwen3.7 Max | |
|---|---|---|
| Provider | OpenAI | Qwen |
| Input (per 1M tokens) | ¥893.5 | ¥263.58 |
| Output (per 1M tokens) | ¥5,361 | ¥790.75 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥3,574 | ¥659 |
| Context window | 1,050,000 tokens | 1,000,000 tokens |
| Release date | 7/9/2026 | 5/21/2026 |
| Input modalities | file, image, text | text |
| Arena · overall | #13 · ELO 1,485 | #21 · ELO 1,475 |
| Arena · Japanese | Unranked | Unranked |
| Arena · coding | #16 · ELO 1,524 | #15 · ELO 1,526 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, Qwen3.7 Max: ¥790.75 per 1M output tokens, 85% less than GPT-5.6 Sol.
- On the Overall arena board, GPT-5.6 Sol ranks higher (#13; Qwen3.7 Max is #21).
- On the Coding arena board, Qwen3.7 Max ranks higher (#15; GPT-5.6 Sol is #16).
- For long documents, GPT-5.6 Sol: a 1,050,000-token context window against 1,000,000 for Qwen3.7 Max.
- 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 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
Qwen3.7 Max
To count the number of 'r's in the word "strawberry", let's break the word down letter by letter from left to right:
1. **s** - not an 'r'
2. **t** - not an 'r'
3. **r** - This is the **1st** 'r'
4. **a** - not an 'r'
5. **w** - not an 'r'
6. **b** - not an 'r'
7. **e** - not an 'r'
8. **r** - This is the **2nd** 'r'
9. **r** - This is the **3rd** 'r'
10. **y** - not an 'r'
By examining each character individually, we can see that the letter 'r' appears in the 3rd, 8th, and 9th positions.
Therefore, there are **3** 'r's in "strawberry".
15.1s842 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 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
Qwen3.7 Max
This error occurs because the `users` prop being passed to your `UserList` component is **`undefined`** at the time React tries to render it. JavaScript cannot call the `.map()` method on `undefined`, which throws the error.
This usually happens for one of three reasons:
1. **Asynchronous Data Fetching:** The parent component is fetching `users` from an API. On the *initial render*, the data hasn't arrived yet, so the variable is `undefined`.
2. **Missing Prop:** The parent component forgot to pass the `users` prop (e.g., `<UserList />` instead of `<UserList users={myUsers} />`).
3. **Incorrect State Initialization:** The parent component initialized its state as `undefined` or `null` inste…
34.9s1851 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 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
Qwen3.7 Max
Here is a comprehensive review of your function, broken down by readability, performance, and best practices, followed by a refactored version.
### 1. Readability & Style (PEP 8)
* **Imports inside the function:** Imports should generally be placed at the top of the file, not inside the function. This makes dependencies clear and avoids slight overhead on every function call.
* **`item["active"] == True`:** In Python, explicitly comparing to `True` is discouraged (PEP 8). You should just use `if item.get("active"):`. Using `.get()` also prevents `KeyError` if the key is missing.
* **Manual List Building:** The `for` loop with `.append()` can be replaced with a much cleaner and faster **list…
58.3s3301 output tokens
Frequently asked questions
- Which is cheaper, GPT-5.6 Sol or Qwen3.7 Max?
- Per 1M output tokens, GPT-5.6 Sol is ¥5,361 and Qwen3.7 Max is ¥790.75 on FastMetal (yen, before tax), so Qwen3.7 Max is cheaper.
- How do the context windows of GPT-5.6 Sol and Qwen3.7 Max compare?
- GPT-5.6 Sol takes 1,050,000 tokens; Qwen3.7 Max takes 1,000,000.
- Which ranks higher, GPT-5.6 Sol or Qwen3.7 Max?
- GPT-5.6 Sol ranks higher on the public arena (GPT-5.6 Sol #13, Qwen3.7 Max #21). Ranks move as the leaderboard updates.
- Can I use GPT-5.6 Sol and Qwen3.7 Max with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-5.6-sol" or "qwen3.7-max" 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 Sol and Qwen3.7 Max from the browser chat and the API. No monthly fee.