Model comparison

GPT-6 Astra vs Muse Glimmer 30B

Pricing, context window and real answers (September 2026)

GPT-6 Astra (OpenAI) and Muse Glimmer 30B (Meta), 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

openai logoGPT-6 Astrameta logoMuse Glimmer 30B
ProviderOpenAIMeta
Input (per 1M tokens)¥1,717.72¥62.55
Output (per 1M tokens)¥8,588.62¥268.05
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥6,012¥197
Context window1,050,000 tokens131,072 tokens
Release date9/4/20268/10/2026
Input modalitiesfile, image, texttext, image
Arena · overallUnrankedUnranked
Arena · JapaneseUnrankedUnranked
Arena · codingUnrankedUnranked

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, 97% less than GPT-6 Astra.
  • For long documents, GPT-6 Astra: a 1,050,000-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.

GPT-6 Astra

“strawberry” is spelled **s-t-r-a-w-b-e-r-r-y**. The letter **r** appears in positions **3, 8, and 9**, so there are **3 r’s**.
3.8s85 output tokens

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

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-6 Astra

The error means **`users` is `undefined` when React renders `UserList`**, so calling `users.map(...)` fails. This commonly happens when the parent doesn’t pass the prop or when data hasn’t finished loading. ### 1. Default `users` to an empty array If an absent prop should mean “no users,” use a default value: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This handles a missing or `undefined` prop, but **not `null` or other non-array values**. ### 2. Check where the prop comes from Make sure the parent passes an array. For data loaded asynchronously, initialize state to…
6.7s380 output tokens

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

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-6 Astra

The function is compact, but its biggest issue is that **all failures silently become `[]`**, making an unavailable API indistinguishable from a successful response with no active items. ### Suggested improvements - **Move imports to module scope** for clarity and conventional organization. - **Avoid bare `except:`.** It catches everything, including `KeyboardInterrupt`, and hides bugs such as missing dictionary keys. - **Retry only transient failures**, such as connection errors, timeouts, rate limiting, and selected server errors. Retrying a `401` or `404` usually won’t help. - **Don’t sleep after the final failed attempt.** Use exponential backoff rather than a fixed delay. - **Use desc…
19.2s965 output tokens

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

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Frequently asked questions

Which is cheaper, GPT-6 Astra or Muse Glimmer 30B?
Per 1M output tokens, GPT-6 Astra is ¥8,588.62 and Muse Glimmer 30B is ¥268.05 on FastMetal (yen, before tax), so Muse Glimmer 30B is cheaper.
How do the context windows of GPT-6 Astra and Muse Glimmer 30B compare?
GPT-6 Astra takes 1,050,000 tokens; Muse Glimmer 30B takes 131,072.
Can I use GPT-6 Astra and Muse Glimmer 30B with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-6-astra" or "muse-glimmer-30b" 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-6 Astra and Muse Glimmer 30B from the browser chat and the API. No monthly fee.

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