Fugu Max vs GPT-6 Sol
Pricing, context window and real answers (September 2026)
Fugu Max (Sakana AI) and GPT-6 Sol (OpenAI), 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
| Fugu Max |  GPT-6 Sol | |
|---|---|---|
| Provider | Sakana AI | OpenAI |
| Input (per 1M tokens) | ¥357.4 | ¥357.4 |
| Output (per 1M tokens) | ¥1,072.2 | ¥1,787 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥894 | ¥1,251 |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| Release date | 9/11/2026 | 9/22/2026 |
| Input modalities | text, image, file | file, image, text |
| Throughput (p50) | — | — |
| Arena · overall | Unranked | Unranked |
| Arena · Japanese | Unranked | Unranked |
| Arena · coding | Unranked | Unranked |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, Fugu Max: ¥1,072.2 per 1M output tokens, 40% less than GPT-6 Sol.
- For long documents, GPT-6 Sol: a 1,050,000-token context window against 1,000,000 for Fugu 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.
Fugu Max
The word **“strawberry”** has **3** letters **“r”**.
Step by step:
1. Write the word: **s t r a w b e r r y**
2. Check each letter:
- s — no
- t — no
- **r** — yes, 1st
- a — no
- w — no
- b — no
- e — no
- **r** — yes, 2nd
- **r** — yes, 3rd
- y — no
So, the total number of **‘r’s** in **“strawberry”** is **3**.
3.7s261 output tokens
GPT-6 Sol
“Strawberry” is spelled **s-t-r-a-w-b-e-r-r-y**. There’s one **r** near the beginning and two near the end, for a total of **3**.
2.7s76 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…
Fugu Max
The error means `users` is `undefined` when `UserList` renders, so `users.map(...)` throws:
```js
function UserList({ users }) {
// if `users` is not passed, this is undefined
return (
<ul>
{users.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
);
}
```
Common causes:
1. Parent renders `<UserList />` without the `users` prop.
2. State is initialized as `undefined`:
```js
const [users, setUsers] = useState();
```
3. Async data hasn’t loaded yet, but the component already renders.
4. The API returned something unexpected, e.g. `undefined`, an object, or an error response.
## Fixes
### 1. Default the prop to an empty array
```jsx
function UserList({ use…
10.6s1293 output tokens
GPT-6 Sol
`users` is `undefined` when `UserList` renders, so calling `users.map(...)` throws the error. The component needs an array, but its parent may not be passing `users`, or the data may not have loaded yet.
You can default it to an empty array:
```jsx
function UserList({ users = [] }) {
return (
<ul>
{users.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
);
}
```
Also check the parent component to make sure it passes an array:
```jsx
<UserList users={users} />
```
If `users` comes from an API, initialize its state as `[]` or show a loading state until the data arrives.
2.2s161 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):…
Fugu Max
Here’s a review with concrete improvements.
## Main issues
1. **Bare `except:`**
- Catches everything, including `KeyboardInterrupt`, `SystemExit`, and programming errors.
- Catch `requests.RequestException` instead, plus `ValueError` for JSON parsing if needed.
2. **Retries everything, including non-retryable errors**
- A `404` or `401` will be retried even though retrying will not help.
- Retry only transient failures: network errors, `429`, and `5xx`.
3. **Fixed 2-second sleep**
- No exponential backoff. Repeated retries can hammer the server.
- Use exponential backoff, optionally with jitter.
4. **Silent failure**
- Returning `[]` after all retries makes it hard…
24.7s3795 output tokens
GPT-6 Sol
The main issues are the bare `except`, which hides errors such as malformed JSON, and retrying every non-200 response, including client errors that usually won’t improve with another attempt. The function also sleeps after its final attempt.
```python
import time
import requests
def get_data(url, retries=3):
if retries < 1:
raise ValueError("retries must be at least 1")
for attempt in range(retries):
try:
response = requests.get(url, timeout=10)
except requests.RequestException:
if attempt == retries - 1:
raise
else:
# Retry rate limits and server errors, but not other client errors.…
10.3s814 output tokens
Frequently asked questions
- Which is cheaper, Fugu Max or GPT-6 Sol?
- Per 1M output tokens, Fugu Max is ¥1,072.2 and GPT-6 Sol is ¥1,787 on FastMetal (yen, before tax), so Fugu Max is cheaper.
- How do the context windows of Fugu Max and GPT-6 Sol compare?
- Fugu Max takes 1,000,000 tokens; GPT-6 Sol takes 1,050,000.
- Can I use Fugu Max and GPT-6 Sol with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "fugu-max" or "gpt-6-sol" 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 Fugu Max and GPT-6 Sol from the browser chat and the API. No monthly fee.