Model comparison

Muse Glimmer 30B vs Solar Pro 4

Pricing, context window and real answers (August 2026)

Muse Glimmer 30B (Meta) and Solar Pro 4 (Upstage), 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 30BSolar Pro 4
ProviderMetaUpstage
Input (per 1M tokens)¥62.55¥5.28
Output (per 1M tokens)¥268.05¥21.11
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥197¥16
Context window131,072 tokens524,288 tokens
Release date8/10/20268/10/2026
Input modalitiestext, imagetext
Arena · overallUnranked#173 · ELO 1,376
Arena · JapaneseUnrankedUnranked
Arena · codingUnranked#140 · ELO 1,448

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

Which should you pick?

  • On price, Solar Pro 4: ¥21.11 per 1M output tokens, 92% less than Muse Glimmer 30B.
  • For long documents, Solar Pro 4: a 524,288-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

Solar Pro 4

The word "strawberry" contains **3** 'r's. Here's the step-by-step breakdown: 1. **Spell out the word explicitly** to isolate each letter: `s - t - r - a - w - b - e - r - r - y` 2. **Scan through the letters in order** and count every instance of the lowercase letter `r`: - `s` → 0 - `t` → 0 - `r` → **1** - `a` → 0 - `w` → 0 - `b` → 0 - `e` → 0 - `r` → **2** - `r` → **3** - `y` → 0 3. **Total the count**: The three `r`s appear at positions 3, 8, and 9 in the 10-letter word. **Final count: 3**
11.4s215 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

Solar Pro 4

### What's Causing the Error The error `TypeError: Cannot read properties of undefined (reading 'map')` means that the `users` prop being passed to your `UserList` component is `undefined`. Since you're calling `.map()` directly on it, JavaScript throws an error because `undefined` doesn't have a `map` method. This typically happens when: - The parent component hasn't passed the `users` prop - The prop is still loading (e.g., from an API call) - The prop is conditionally undefined --- ### How to Fix It You have a few options to handle this safely: #### ✅ Option 1: Add a Default Prop Value (Recommended) Provide a fallback empty array so `.map()` always has something to work with: ```j…
24.7s539 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

Solar Pro 4

Here’s a breakdown of the issues in the original function, followed by a refactored version and a detailed explanation of the improvements. ### 🔍 Key Issues in the Original Code | Area | Problem | |------|---------| | **Import organization** | `import` inside the function is evaluated on every call. Imports should live at the top of the module. | | **Exception handling** | Bare `except:` catches `SystemExit`, `KeyboardInterrupt`, and other fatal errors. Always catch specific exceptions (`requests.RequestException`). | | **Loose equality** | `== True` is redundant and can cause subtle bugs. Use `if item["active"]:` or `.get()`. | | **HTTP status handling** | Calling `.json()` only on `200`…
17.5s1172 output tokens

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Frequently asked questions

Which is cheaper, Muse Glimmer 30B or Solar Pro 4?
Per 1M output tokens, Muse Glimmer 30B is ¥268.05 and Solar Pro 4 is ¥21.11 on FastMetal (yen, before tax), so Solar Pro 4 is cheaper.
How do the context windows of Muse Glimmer 30B and Solar Pro 4 compare?
Muse Glimmer 30B takes 131,072 tokens; Solar Pro 4 takes 524,288.
Can I use Muse Glimmer 30B and Solar Pro 4 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "muse-glimmer-30b" or "solar-pro4" 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 Solar Pro 4 from the browser chat and the API. No monthly fee.

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