Claude Opus 4.6 vs GPT-6 Sol
Pricing, context window and real answers (September 2026)
Claude Opus 4.6 (Anthropic) 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
 Claude Opus 4.6 |  GPT-6 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input (per 1M tokens) | ¥850 | ¥357.4 |
| Output (per 1M tokens) | ¥4,200 | ¥1,787 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥2,950 | ¥1,251 |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| Release date | 2/4/2026 | 9/22/2026 |
| Input modalities | text, image | file, image, text |
| Throughput (p50) | — | — |
| Arena · overall | #6 · ELO 1,497 | Unranked |
| Arena · Japanese | #15 · ELO 1,480 | Unranked |
| Arena · coding | #5 · ELO 1,546 | Unranked |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, GPT-6 Sol: ¥1,787 per 1M output tokens, 57% less than Claude Opus 4.6.
- For long documents, GPT-6 Sol: a 1,050,000-token context window against 1,000,000 for Claude Opus 4.6.
- 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.
Claude Opus 4.6
I need to count the number of 'r's in the word 'strawberry'. Let me go through it letter by letter.
**s** - not an r
**t** - not an r
**r** - this is an r ✓ (count: 1)
**a** - not an r
**w** - not an r
**b** - not an r
**e** - not an r
**r** - this is an r ✓ (count: 2)
**r** - this is an r ✓ (count: 3)
**y** - not an r
There are **3** r's in 'strawberry'.
3.2s158 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…
Claude Opus 4.6
# Understanding the Error
The error `Cannot read properties of undefined (reading 'map')` means that **`users` is `undefined`** when the component renders. You're trying to call `.map()` on a value that doesn't exist yet.
This typically happens when:
- The parent component doesn't pass the `users` prop
- The data is being fetched asynchronously and hasn't loaded yet
- The prop name is misspelled
## Solutions
### 1. Add a Default Parameter Value (Simplest Fix)
```javascript
function UserList({ users = [] }) {
return (
<ul>
{users.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
);
}
```
### 2. Add a Guard with Optional Chaining
```javascript
function UserList({…
10.5s599 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):…
Claude Opus 4.6
# Code Review: `get_data` Function
## Original Issues Identified
1. **Imports inside function** – reduces clarity and adds per-call overhead
2. **Bare `except`** – catches everything including `KeyboardInterrupt` and `SystemExit`
3. **`== True` comparison** – non-Pythonic
4. **Manual list building** – could use a list comprehension
5. **No logging** – failures happen silently
6. **No response validation** – assumes JSON is always a list of dicts with specific keys
7. **Magic numbers** – `timeout=10`, `sleep(2)` unexplained
8. **Vague function/variable names** – `r`, `data`, `get_data`
---
## Improved Version
```python
import logging
import time
from typing import Any
import requests
fr…
19.9s1223 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, Claude Opus 4.6 or GPT-6 Sol?
- Per 1M output tokens, Claude Opus 4.6 is ¥4,200 and GPT-6 Sol is ¥1,787 on FastMetal (yen, before tax), so GPT-6 Sol is cheaper.
- How do the context windows of Claude Opus 4.6 and GPT-6 Sol compare?
- Claude Opus 4.6 takes 1,000,000 tokens; GPT-6 Sol takes 1,050,000.
- Can I use Claude Opus 4.6 and GPT-6 Sol with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-4-6" 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 Claude Opus 4.6 and GPT-6 Sol from the browser chat and the API. No monthly fee.