Muse Spark 1.3 vs Qwen3.8 Max
Pricing, context window and real answers (September 2026)
Muse Spark 1.3 (Meta) and Qwen3.8 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
 Muse Spark 1.3 |  Qwen3.8 Max | |
|---|---|---|
| Provider | Meta | Qwen |
| Input (per 1M tokens) | ¥219.9 | ¥357.4 |
| Output (per 1M tokens) | ¥747.65 | ¥1,072.2 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥594 | ¥894 |
| Context window | 1,048,576 tokens | 1,000,000 tokens |
| Release date | 9/2/2026 | 8/3/2026 |
| Input modalities | text, image, video, file, audio | text, image |
| Arena · overall | Unranked | #22 · ELO 1,480 |
| Arena · Japanese | Unranked | #10 · ELO 1,492 |
| Arena · coding | Unranked | #30 · ELO 1,520 |
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 1.3: ¥747.65 per 1M output tokens, 30% less than Qwen3.8 Max.
- For long documents, Muse Spark 1.3: a 1,048,576-token context window against 1,000,000 for Qwen3.8 Max.
- 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 Spark 1.3
The word is **strawberry** — there are **3** 'r's in it.
Here's my reasoning step by step:
1. **Write out the word:**
strawberry
2. **Break it into individual letters:**
s - t - r - a - w - b - e - r - r - y
3. **Go through each letter one by one and check if it is 'r':**
1. s → not r, count = 0
2. t → not r, count = 0
3. r → is r, count = 1
4. a → not r, count = 1
5. w → not r, count = 1
6. b → not r, count = 1
7. e → not r, count = 1
8. r → is r, count = 2
9. r → is r, count = 3
10. y → not r, count = 3
4. **Total up the matches:**
The 'r' appears at position 3, 8, and 9.
**Final answer: 3**
10.5s1063 output tokens
Qwen3.8 Max
The word **strawberry** is spelled:
**s t r a w b e r r y**
Now count the letter **r**:
1. s
2. t
3. **r** ← first r
4. a
5. w
6. b
7. e
8. **r** ← second r
9. **r** ← third r
10. y
There are **3** letters **r** in **strawberry**.
3.5s156 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 Spark 1.3
This error means `users` is `undefined` when your component tries to render.
`users.map(...)` only works if `users` is an array. On the first render, if you haven't passed the prop yet, or your data hasn't loaded from an API yet, `users` is `undefined`, so JavaScript throws:
> Cannot read properties of undefined (reading 'map')
This almost always happens in one of these 2 cases:
1. You forgot to pass the prop:
```js
<UserList /> // users is undefined!
```
vs.
```js
<UserList users={myUsers} />
```
2. Your data is async and is `undefined` on the first render:
```js
const [users, setUsers] = useState(); // undefined at first!
// ...
<UserList users={users} />
```
### How to fix it
**1.…
16.7s1242 output tokens
Qwen3.8 Max
The error means `users` is `undefined` when `UserList` tries to render:
```js
{users.map(user => ...)}
```
JavaScript cannot call `.map()` on `undefined`, so React throws:
```text
Cannot read properties of undefined (reading 'map')
```
## Most likely cause
The parent component is rendering `UserList` without passing a valid `users` array, or it is passing `users` before the data has loaded.
For example:
```jsx
<UserList />
```
or:
```jsx
<UserList users={undefined} />
```
or:
```jsx
const [users, setUsers] = useState(); // undefined initially
```
Then later:
```jsx
<UserList users={users} />
```
On the first render, `users` is still `undefined`.
---
## Fix 1: Give `users` a d…
17.7s1020 output tokens
Professional Email
Write a professional email to a client explaining that the project delivery will be delayed by two weeks due to unexpected technical challenges discovered during integration testing. The tone should be apologetic but con…
Muse Spark 1.3
Here is a professional draft you can customize:
---
**Subject:** Update on [Project Name] Delivery Timeline – Revised to [New Delivery Date]
Dear [Client Name],
I hope you are well. I am writing to provide you with an important update regarding the delivery of [Project Name], originally scheduled for [Original Delivery Date].
First, please accept our sincere apologies. During our integration testing phase this week, our team discovered unexpected technical challenges related to [e.g., API incompatibility between the new platform and your legacy system / data synchronization latency under load]. While individual modules passed all functional tests, these issues only surfaced when the ful…
18.8s1344 output tokens
Qwen3.8 Max
Subject: Revised Project Delivery Timeline – Updated Schedule and Next Steps
Dear [Client Name],
I hope this message finds you well.
I am writing to provide an update on the current status of the project and to inform you that, during our recent integration testing phase, we encountered several unexpected technical challenges that will impact the original delivery timeline. After careful review with the technical team, we now anticipate the revised delivery date will be [insert date – two weeks from original delivery date].
Please accept my sincere apologies for this delay. We understand the importance of this project and the expectations tied to the original schedule. While this situati…
11.9s547 output tokens
Frequently asked questions
- Which is cheaper, Muse Spark 1.3 or Qwen3.8 Max?
- Per 1M output tokens, Muse Spark 1.3 is ¥747.65 and Qwen3.8 Max is ¥1,072.2 on FastMetal (yen, before tax), so Muse Spark 1.3 is cheaper.
- How do the context windows of Muse Spark 1.3 and Qwen3.8 Max compare?
- Muse Spark 1.3 takes 1,048,576 tokens; Qwen3.8 Max takes 1,000,000.
- Can I use Muse Spark 1.3 and Qwen3.8 Max with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "muse-spark-1.3" or "qwen3.8-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 Spark 1.3 and Qwen3.8 Max from the browser chat and the API. No monthly fee.