Ember-1 vs Muse Spark 1.2
Pricing, context window and real answers (September 2026)
Ember-1 (Fireworks) and Muse Spark 1.2 (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
| Ember-1 |  Muse Spark 1.2 | |
|---|---|---|
| Provider | Fireworks | Meta |
| Input (per 1M tokens) | ¥536.1 | ¥219.9 |
| Output (per 1M tokens) | ¥2,680.5 | ¥747.65 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥1,876 | ¥594 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Release date | 9/24/2026 | 8/5/2026 |
| Input modalities | text, image | text, image, video, file, audio |
| Throughput (p50) | — | — |
| Arena · overall | Unranked | #4 · ELO 1,500 |
| Arena · Japanese | Unranked | Unranked |
| Arena · coding | Unranked | #9 · ELO 1,536 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, Muse Spark 1.2: ¥747.65 per 1M output tokens, 72% less than Ember-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.
Ember-1
# Counting the 'r's in "strawberry"
**Step 1: Write out the word letter by letter**
s - t - r - a - w - b - e - r - r - y
**Step 2: Examine each letter one at a time**
| Position | Letter | Is it 'r'? |
|----------|--------|------------|
| 1 | s | No |
| 2 | t | No |
| 3 | r | ✅ Yes (1) |
| 4 | a | No |
| 5 | w | No |
| 6 | b | No |
| 7 | e | No |
| 8 | r | ✅ Yes (2) |
| 9 | r | ✅ Yes (3) |
| 10 | y | No |
**Step 3: Verify by splitting the word into parts**
- "straw" → contains **1** r
- "berry" → contains **2** r's
- Total: 1 + 2 = **3**
## Answer
The word "strawberry" contains **3** r's.
8.2s482 output tokens
Muse Spark 1.2
There are **3** 'r's in "strawberry".
Here is my reasoning step by step:
1. Write out the word and its spelling: **s-t-r-a-w-b-e-r-r-y**
2. Go through each letter one by one and check if it is an 'r':
* 1. s - not an 'r' -> count = 0
* 2. t - not an 'r' -> count = 0
* 3. **r** - yes, it's an 'r' -> count = 1
* 4. a - not an 'r' -> count = 1
* 5. w - not an 'r' -> count = 1
* 6. b - not an 'r' -> count = 1
* 7. e - not an 'r' -> count = 1
* 8. **r** - yes, it's an 'r' -> count = 2
* 9. **r** - yes, it's an 'r' -> count = 3
* 10. y - not an 'r' -> count = 3
3. Final total = **3**.
13.3s1123 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…
Ember-1
## The Cause
The error means `users` is `undefined` when the component renders, so calling `.map()` on it fails. The component itself is fine — the problem is that the `users` prop isn't being provided (or isn't ready yet).
The most common reasons this happens:
1. **Async data hasn't loaded yet** — the parent fetches users from an API, and the component renders before the fetch completes:
```jsx
const [users, setUsers] = useState(); // undefined initially!
```
2. **The prop isn't passed or is misspelled** in the parent:
```jsx
<UserList user={users} /> // typo: should be "users"
```
3. **Wrong data shape** — e.g., passing the whole response object instead of `response…
18.2s960 output tokens
Muse Spark 1.2
This error means `users` is `undefined` when the component tries to render.
You are calling `.map()` on `users` at line 12, but `.map()` only exists on arrays. If `users` is `undefined` or `null`, JavaScript throws: `Cannot read properties of undefined (reading 'map')`.
This usually happens for 2 reasons:
1. You didn't pass the `users` prop to the component: `<UserList />`
2. Your data is async and `users` is `undefined` on the first render. For example: `const [users, setUsers] = useState()` without an initial value, and the data hasn't been fetched yet.
### Fix it
You need to guarantee `users` is always an array before you call `.map()`.
#### 1. Best Fix: Give it a default value
U…
7.6s1142 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):…
Ember-1
# Code Review
## Bugs and correctness issues
- **Bare `except:`** catches *everything* — including `KeyboardInterrupt` and, critically, `KeyError` from `item["active"]`. A malformed item in the response would be misinterpreted as a network failure, wasting all your retries on a data problem that retrying can't fix.
- **Retrying all non-200 statuses** — a 404 or 401 will never succeed on retry. Only transient errors (connection failures, timeouts, 429, 5xx) are worth retrying.
- **Wasted sleep on the final attempt** — the loop sleeps 2 seconds even after the last failure, before returning `[]`.
- **Ambiguous return value** — `[]` means both "request failed" and "no active items." Callers ca…
95.0s5356 output tokens
Muse Spark 1.2
Here is a review of your function with a refactored, production-ready version:
### Issues in the Current Version
#### 1. Readability
1. **Generic name:** `get_data` tells nothing about what it does. `get_active_items` is better.
2. **Imports inside function:** `import requests, time` should be at the top of the file. It's slower and violates PEP 8.
3. **Magic numbers:** `200`, `10`, `2` have no context.
4. **Verbose loop:** Manual `for` loop + `append` can be replaced with a list comprehension.
5. **No documentation/typing:** No docstring, no type hints, so callers don't know what it expects or returns.
6. **`== True` is redundant:** `if item["active"] == True:` should be `if item["a…
11.8s2278 output tokens
Frequently asked questions
- Which is cheaper, Ember-1 or Muse Spark 1.2?
- Per 1M output tokens, Ember-1 is ¥2,680.5 and Muse Spark 1.2 is ¥747.65 on FastMetal (yen, before tax), so Muse Spark 1.2 is cheaper.
- How do the context windows of Ember-1 and Muse Spark 1.2 compare?
- Ember-1 takes 1,048,576 tokens; Muse Spark 1.2 takes 1,048,576.
- Can I use Ember-1 and Muse Spark 1.2 with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "ember-1" or "muse-spark-1.2" 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 Ember-1 and Muse Spark 1.2 from the browser chat and the API. No monthly fee.