Model comparison

Muse Glimmer 30B vs Qwen3.7 Max

Pricing, context window and real answers (August 2026)

Muse Glimmer 30B (Meta) 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

meta logoMuse Glimmer 30Bqwen logoQwen3.7 Max
ProviderMetaQwen
Input (per 1M tokens)¥62.55¥263.58
Output (per 1M tokens)¥268.05¥790.75
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥197¥659
Context window131,072 tokens1,000,000 tokens
Release date8/10/20265/21/2026
Input modalitiestext, imagetext
Arena · overallUnranked#21 · ELO 1,475
Arena · JapaneseUnrankedUnranked
Arena · codingUnranked#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, Muse Glimmer 30B: ¥268.05 per 1M output tokens, 66% less than Qwen3.7 Max.
  • For long documents, Qwen3.7 Max: a 1,000,000-token context window against 131,072 for Muse Glimmer 30B.
  • 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.

Muse Glimmer 30B

The word is 10 letters long. Scanning left to right: 1. **s** - not r 2. **t** - not r 3. **r** - 1st r 4. **a** - not r 5. **w** - not r 6. **b** - not r 7. **e** - not r 8. **r** - 2nd r 9. **r** - 3rd r 10. **y** - not r `s t r a w b e r r y` There is one r in `str-`, and a double `rr` in `-berry`. Total = 1 + 2 = 3 r's.
8.0s614 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…

Muse Glimmer 30B

The error is exactly what it says: you're trying to call `.map` on `users`, but `users` is `undefined` at render time. ```js {users.map(user => ...)} ^^^^^^ ``` `Cannot read properties of undefined [reading 'map']` means `users` was never defined / passed in, so `users.map` throws. This happens very commonly with React components that receive async data. The parent renders `UserList` before the data has loaded, so the prop is `undefined` / `null` on the first render. ### Fix it by guarding the prop **1. Default parameter to an empty array - simplest** ```js function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul>…
5.6s888 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):…

Muse Glimmer 30B

The function works but it mixes concerns and hides errors. Here are the main issues: **Readability** * Imports inside the function. `import requests` and `import time` should be at module level. * Bare `except:` catches `KeyboardInterrupt`, `SystemExit` and masks bugs. * Unused loop variable `i` and vague names `r`, `data`. * No docstring / type hints, so the contract is unclear. * `if item["active"] == True:` is redundant and will raise `KeyError` if the key is missing. **Correctness / Best practices** * `except:` should be `except requests.RequestException`. JSON parsing can also fail. * Check `r.status_code == 200` is too narrow. Use `raise_for_status` / `r.ok` for any 2xx. * Fixed 2 se…
12.0s1795 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

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Frequently asked questions

Which is cheaper, Muse Glimmer 30B or Qwen3.7 Max?
Per 1M output tokens, Muse Glimmer 30B is ¥268.05 and Qwen3.7 Max is ¥790.75 on FastMetal (yen, before tax), so Muse Glimmer 30B is cheaper.
How do the context windows of Muse Glimmer 30B and Qwen3.7 Max compare?
Muse Glimmer 30B takes 131,072 tokens; Qwen3.7 Max takes 1,000,000.
Can I use Muse Glimmer 30B and Qwen3.7 Max with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "muse-glimmer-30b" 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 Muse Glimmer 30B and Qwen3.7 Max from the browser chat and the API. No monthly fee.

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