Model comparison

Gemini 3.8 Flash vs Muse Spark 1.3

Pricing, context window and real answers (September 2026)

Gemini 3.8 Flash (Google) and Muse Spark 1.3 (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

google logoGemini 3.8 Flashmeta logoMuse Spark 1.3
ProviderGoogleMeta
Input (per 1M tokens)¥128.83¥219.9
Output (per 1M tokens)¥644.15¥747.65
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥451¥594
Context window1,048,576 tokens1,048,576 tokens
Release date9/2/20269/2/2026
Input modalitiestext, image, video, file, audiotext, image, video, file, audio
Arena · overall#8 · ELO 1,494Unranked
Arena · JapaneseUnrankedUnranked
Arena · coding#7 · ELO 1,537Unranked

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

Which should you pick?

  • On price, Gemini 3.8 Flash: ¥644.15 per 1M output tokens, 14% less than Muse Spark 1.3.
  • 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.

Gemini 3.8 Flash

There are **3** 'r's in the word "strawberry". Here is the step-by-step breakdown: 1. **Break the word into its individual letters:** * **s** (1st letter) * **t** (2nd letter) * **r** (3rd letter) — **1st 'r'** * **a** (4th letter) * **w** (5th letter) * **b** (6th letter) * **e** (7th letter) * **r** (8th letter) — **2nd 'r'** * **r** (9th letter) — **3rd 'r'** * **y** (10th letter) 2. **Count the occurrences:** * One 'r' is in the first syllable: "st**r**aw" * Two 'r's are in the second syllable: "be**rr**y" Total: **3**
3.9s562 output tokens

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

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…

Gemini 3.8 Flash

### The Cause This error occurs because the `users` prop is `undefined` when the component renders, and JavaScript cannot call `.map()` on `undefined`. This typically happens in two common scenarios: 1. **Asynchronous data fetching:** The parent component fetches `users` from an API. On the initial render, the data hasn't arrived yet, so `users` defaults to `undefined`. 2. **Missing prop:** The parent component forgot to pass `users` (e.g., `<UserList />` instead of `<UserList users={data} />`). --- ### How to Fix It Here are the most common ways to resolve this: #### Option 1: Provide a default parameter (Recommended) Set a default value of an empty array (`[]`) for `users`. If `users…
7.1s1003 output tokens

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

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):…

Gemini 3.8 Flash

Here is a code review of your function, broken down by issue category, followed by refactored versions. --- ### Key Issues & Areas for Improvement #### 1. Correctness & Error Handling * **Bare `except:` clause:** Catching all exceptions with a bare `except:` is dangerous. It suppresses system exits (`KeyboardInterrupt`, `SystemExit`) and masks programming bugs (like `KeyError` or `NameError`). You should catch specific exceptions, primarily `requests.RequestException`. * **Silent failure returning `[]`:** If all retries fail, returning an empty list makes it impossible for the caller to distinguish between *"the API returned 0 active items"* and *"the network is completely down"*. It is u…
15.1s2139 output tokens

Muse Spark 1.3

Here's a friendly review of your `get_data` function — it works, but there are a few readability, robustness, and performance issues worth fixing: ### 1. Readability Issues **a) Imports inside the function** ```python import requests import time ``` This runs on every call (though Python caches it). Move to the top of the file per PEP 8. **b) Poor variable names & magic numbers** `r`, `i`, `data`, `2`, `10`, `200` don't tell the reader much. **c) `== True` anti-pattern** ```python if item["active"] == True: ``` Just use `if item.get("active"):` or `is True`. The current version will also crash with `KeyError` if `active` is missing. **d) No docstring / type hints** No one knows what `ur…
26.9s2141 output tokens

Compare on more prompts →

Frequently asked questions

Which is cheaper, Gemini 3.8 Flash or Muse Spark 1.3?
Per 1M output tokens, Gemini 3.8 Flash is ¥644.15 and Muse Spark 1.3 is ¥747.65 on FastMetal (yen, before tax), so Gemini 3.8 Flash is cheaper.
How do the context windows of Gemini 3.8 Flash and Muse Spark 1.3 compare?
Gemini 3.8 Flash takes 1,048,576 tokens; Muse Spark 1.3 takes 1,048,576.
Can I use Gemini 3.8 Flash and Muse Spark 1.3 with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gemini-3.8-flash" or "muse-spark-1.3" 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 Gemini 3.8 Flash and Muse Spark 1.3 from the browser chat and the API. No monthly fee.

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