Model comparison

Claude Opus 4.6 vs GPT-4o-mini

Pricing, context window and real answers (September 2026)

Claude Opus 4.6 (Anthropic) and GPT-4o-mini (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

anthropic logoClaude Opus 4.6openai logoGPT-4o-mini
ProviderAnthropicOpenAI
Input (per 1M tokens)¥850¥26.81
Output (per 1M tokens)¥4,200¥107.22
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥2,950¥80
Context window1,000,000 tokens128,000 tokens
Release date2/4/20267/18/2024
Input modalitiestext, imagetext, image, file
Throughput (p50)
Arena · overall#6 · ELO 1,497#251 · ELO 1,318
Arena · Japanese#15 · ELO 1,480#187 · ELO 1,250
Arena · coding#5 · ELO 1,546#259 · ELO 1,348

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

Which should you pick?

  • On price, GPT-4o-mini: ¥107.22 per 1M output tokens, 97% less than Claude Opus 4.6.
  • On the Overall arena board, Claude Opus 4.6 ranks higher (#6; GPT-4o-mini is #251).
  • On the Japanese arena board, Claude Opus 4.6 ranks higher (#15; GPT-4o-mini is #187).
  • On the Coding arena board, Claude Opus 4.6 ranks higher (#5; GPT-4o-mini is #259).
  • For long documents, Claude Opus 4.6: a 1,000,000-token context window against 128,000 for GPT-4o-mini.
  • 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-4o-mini

To count the number of 'r's in the word "strawberry," we can follow these steps: 1. **Identify the word**: We have the word "strawberry." 2. **Break down the letters**: Let's write out the letters in the word: - s - t - r - a - w - b - e - r - r - y 3. **Locate the 'r's**: Now, we need to look for the letter 'r' among these letters. - In the list of letters, we can see: - The first 'r' is in the 3rd position. - The second 'r' is in the 8th position. - The third 'r' is in the 9th position. 4. **Count the occurrences**: We check each position we identified: - There are three occurrences of 'r' in the word "strawberry." 5. **Conclusion**:…
2.1s239 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-4o-mini

The error you're encountering, `TypeError: Cannot read properties of undefined (reading 'map')`, indicates that the `users` prop is `undefined` when you try to call the `map` method on it. In your `UserList` component, you're attempting to use `users.map(...)`, but if the `users` prop is not provided or is `undefined`, this will throw an error. ### Fixing the Error 1. **Default Props**: You can set a default value for the `users` prop to prevent the error when it is `undefined`. ```jsx function UserList({ users = [] }) { // Default to an empty array return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ```…
5.0s511 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-4o-mini

Your Python function, `get_data`, essentially performs a GET request, handles retries on failure, and processes the response JSON to return a filtered list of dictionaries. Below, I've highlighted several improvements regarding readability, performance, and best practices: 1. **Avoid blanket exceptions**: It’s best practice to specify which exceptions you expect, allowing for better debugging and error handling. 2. **Use `requests` built-in exception handling**: Handle specific requests exceptions, such as `requests.exceptions.RequestException`. 3. **Improve condition checks**: Check for `item['active']` directly instead of comparing to `True`, which is more Pythonic. 4. **Use `time.sl…
8.8s628 output tokens

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Frequently asked questions

Which is cheaper, Claude Opus 4.6 or GPT-4o-mini?
Per 1M output tokens, Claude Opus 4.6 is ¥4,200 and GPT-4o-mini is ¥107.22 on FastMetal (yen, before tax), so GPT-4o-mini is cheaper.
How do the context windows of Claude Opus 4.6 and GPT-4o-mini compare?
Claude Opus 4.6 takes 1,000,000 tokens; GPT-4o-mini takes 128,000.
Which ranks higher, Claude Opus 4.6 or GPT-4o-mini?
Claude Opus 4.6 ranks higher on the public arena (Claude Opus 4.6 #15, GPT-4o-mini #187). Ranks move as the leaderboard updates.
Can I use Claude Opus 4.6 and GPT-4o-mini with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-4-6" or "gpt-4o-mini" 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-4o-mini from the browser chat and the API. No monthly fee.

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