Model comparison

GLM 5.1 vs Qwen3.7 Max

Pricing, context window and real answers (August 2026)

GLM 5.1 (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

z-ai logoGLM 5.1qwen logoQwen3.7 Max
ProviderZ.aiQwen
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 window204,800 tokens1,000,000 tokens
Release date4/7/20265/21/2026
Input modalitiestexttext
Arena · overall#41 · ELO 1,466#27 · ELO 1,474
Arena · Japanese#49 · ELO 1,430Unranked
Arena · coding#36 · ELO 1,514#18 · ELO 1,525

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

Which should you pick?

  • On price, GLM 5.1: ¥786.28 per 1M output tokens, 1% less than Qwen3.7 Max.
  • On the Overall arena board, Qwen3.7 Max ranks higher (#27; GLM 5.1 is #41).
  • On the Coding arena board, Qwen3.7 Max ranks higher (#18; GLM 5.1 is #36).
  • For long documents, Qwen3.7 Max: a 1,000,000-token context window against 204,800 for GLM 5.1.
  • 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 5.1

There are **3** 'r's in the word "strawberry". Here is the step-by-step reasoning: 1. Let's break down the word "strawberry" letter by letter: s - t - r - a - w - b - e - r - r - y 2. Now, let's check each letter one by one to see if it is an 'r': - **s**: not an 'r' - **t**: not an 'r' - **r**: this is the 1st 'r' - **a**: not an 'r' - **w**: not an 'r' - **b**: not an 'r' - **e**: not an 'r' - **r**: this is the 2nd 'r' - **r**: this is the 3rd 'r' - **y**: not an 'r' 3. Counting them up, there are three 'r's in total (in the 3rd, 8th, and 9th positions).
7.3s565 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 5.1

### What is causing the error? The error `TypeError: Cannot read properties of undefined (reading 'map')` means you are trying to call the `.map()` method on a variable that is `undefined`. In your code, the variable is `users`. When the `UserList` component renders, the `users` prop is `undefined`, so `undefined.map()` throws an error. ### Why is `users` undefined? This usually happens for one of two reasons: 1. **You forgot to pass the prop:** The parent component rendering `<UserList />` is not passing the `users` attribute (e.g., `<UserList />` instead of `<UserList users={myUsers} />`). 2. **Async Data Fetching:** You are fetching the users from an API. On the initial render, befor…
45.0s1680 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 5.1

Here is a review of your function, broken down by areas for improvement, followed by a refactored version of the code. ### Key Areas for Improvement 1. **Imports Inside the Function:** Placing `import` statements inside a function is generally discouraged in Python. It slows down the function execution every time it is called, and it violates PEP 8 (the Python style guide). Imports should always be at the top of the module. 2. **Bare `except` Clause:** Using a bare `except:` catches *everything*, including `KeyboardInterrupt` and `SystemExit`, which makes it hard to terminate a hanging program. You should catch specific exceptions (like `requests.exceptions.RequestException`). 3. *…
70.3s2854 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

Compare on more prompts →

Frequently asked questions

Which is cheaper, GLM 5.1 or Qwen3.7 Max?
Per 1M output tokens, GLM 5.1 is ¥786.28 and Qwen3.7 Max is ¥790.75 on FastMetal (yen, before tax), so GLM 5.1 is cheaper.
How do the context windows of GLM 5.1 and Qwen3.7 Max compare?
GLM 5.1 takes 204,800 tokens; Qwen3.7 Max takes 1,000,000.
Which ranks higher, GLM 5.1 or Qwen3.7 Max?
Qwen3.7 Max ranks higher on the public arena (GLM 5.1 #49, Qwen3.7 Max #27). Ranks move as the leaderboard updates.
Can I use GLM 5.1 and Qwen3.7 Max with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "glm-5.1" 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 5.1 and Qwen3.7 Max from the browser chat and the API. No monthly fee.

More comparisons with GLM 5.1

More comparisons with Qwen3.7 Max