GLM 5.2 vs Qwen3.7 Max
Pricing, context window and real answers (August 2026)
GLM 5.2 (Z.ai) 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
 GLM 5.2 |  Qwen3.7 Max | |
|---|---|---|
| Provider | Z.ai | Qwen |
| Input (per 1M tokens) | ¥250.18 | ¥263.58 |
| Output (per 1M tokens) | ¥786.28 | ¥790.75 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥643 | ¥659 |
| Context window | 1,048,576 tokens | 1,000,000 tokens |
| Release date | 6/16/2026 | 5/21/2026 |
| Input modalities | text | text |
| Arena · overall | #31 · ELO 1,469 | #21 · ELO 1,475 |
| Arena · Japanese | #13 · ELO 1,472 | Unranked |
| Arena · coding | #46 · ELO 1,506 | #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, GLM 5.2: ¥786.28 per 1M output tokens, 1% less than Qwen3.7 Max.
- On the Overall arena board, Qwen3.7 Max ranks higher (#21; GLM 5.2 is #31).
- On the Coding arena board, Qwen3.7 Max ranks higher (#15; GLM 5.2 is #46).
- For long documents, GLM 5.2: a 1,048,576-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.
GLM 5.2
To count the number of 'r's in the word 'strawberry', let's look at the word letter by letter:
1. **s** - no 'r'
2. **t** - no 'r'
3. **r** - this is the 1st 'r'
4. **a** - no 'r'
5. **w** - no 'r'
6. **b** - no 'r'
7. **e** - no 'r'
8. **r** - this is the 2nd 'r'
9. **r** - this is the 3rd 'r'
10. **y** - no 'r'
Total count: 3
There are **3** 'r's in the word 'strawberry'.
2.6s439 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…
GLM 5.2
The error `TypeError: Cannot read properties of undefined (reading 'map')` happens because the `users` prop being passed to your `UserList` component is currently `undefined`. When JavaScript tries to call `.map()` on `undefined`, it throws this error.
Here are the best ways to fix this:
### Fix 1: Provide a default value (Recommended)
You can provide a default empty array `[]` when destructuring the props. This ensures that even if `users` is not passed down, the `.map()` function will still have an array to iterate over (resulting in an empty list rather than a crash).
```jsx
function UserList({ users = [] }) {
return (
<ul>
{users.map(user => <li key={user.id}>{user.name}</…
8.3s1006 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):…
GLM 5.2
Here is a review of your Python function, broken down by readability, performance, and best practices, followed by a refactored version of the code.
### 1. Best Practices
* **Move imports to the top:** Importing modules inside a function is generally discouraged. While Python caches imports, putting `import requests` and `import time` at the top of your file is the standard convention and improves readability.
* **Avoid bare `except:` blocks:** Using a bare `except:` catches everything, including `KeyboardInterrupt` and `SystemExit`. This makes it hard to interrupt your program if it gets stuck in a loop. You should catch specific exceptions, such as `requests.exceptions.RequestException` (…
10.9s2061 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, GLM 5.2 or Qwen3.7 Max?
- Per 1M output tokens, GLM 5.2 is ¥786.28 and Qwen3.7 Max is ¥790.75 on FastMetal (yen, before tax), so GLM 5.2 is cheaper.
- How do the context windows of GLM 5.2 and Qwen3.7 Max compare?
- GLM 5.2 takes 1,048,576 tokens; Qwen3.7 Max takes 1,000,000.
- Which ranks higher, GLM 5.2 or Qwen3.7 Max?
- GLM 5.2 ranks higher on the public arena (GLM 5.2 #13, Qwen3.7 Max #21). Ranks move as the leaderboard updates.
- Can I use GLM 5.2 and Qwen3.7 Max with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "glm-5.2" 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 GLM 5.2 and Qwen3.7 Max from the browser chat and the API. No monthly fee.