Model comparison

Claude Sonnet 4.6 vs GPT-4.1 Mini

Pricing, context window and real answers (September 2026)

Claude Sonnet 4.6 (Anthropic) and GPT-4.1 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 Sonnet 4.6openai logoGPT-4.1 Mini
ProviderAnthropicOpenAI
Input (per 1M tokens)¥554.4¥71.48
Output (per 1M tokens)¥2,772¥285.92
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,940¥214
Context window1,000,000 tokens1,047,576 tokens
Release date2/17/20264/14/2025
Input modalitiestext, imageimage, text, file
Throughput (p50)
Arena · overall#37 · ELO 1,473#172 · ELO 1,383
Arena · Japanese#43 · ELO 1,437#135 · ELO 1,330
Arena · coding#16 · ELO 1,528#164 · ELO 1,433

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

Which should you pick?

  • On price, GPT-4.1 Mini: ¥285.92 per 1M output tokens, 90% less than Claude Sonnet 4.6.
  • On the Overall arena board, Claude Sonnet 4.6 ranks higher (#37; GPT-4.1 Mini is #172).
  • On the Japanese arena board, Claude Sonnet 4.6 ranks higher (#43; GPT-4.1 Mini is #135).
  • On the Coding arena board, Claude Sonnet 4.6 ranks higher (#16; GPT-4.1 Mini is #164).
  • For long documents, GPT-4.1 Mini: a 1,047,576-token context window against 1,000,000 for Claude Sonnet 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 Sonnet 4.6

## Counting the letter 'r' in 'strawberry' Let me go through the word letter by letter: | Position | Letter | Is it 'r'? | |----------|--------|------------| | 1 | s | No | | 2 | t | No | | 3 | r | ✅ Yes | | 4 | a | No | | 5 | w | No | | 6 | b | No | | 7 | e | No | | 8 | r | ✅ Yes | | 9 | r | ✅ Yes | | 10 | y | No | ## Result There are **3 r's** in 'strawberry'.
2.2s181 output tokens

GPT-4.1 Mini

Let's count the number of 'r's in the word "strawberry" step by step: 1. Write down the word: s t r a w b e r r y 2. Look at each letter and check if it is 'r': - s → not 'r' - t → not 'r' - r → yes, 1st 'r' - a → not 'r' - w → not 'r' - b → not 'r' - e → not 'r' - r → yes, 2nd 'r' - r → yes, 3rd 'r' - y → not 'r' 3. Total number of 'r's found: 3 **Answer:** There are 3 'r's in the word "strawberry".
2.0s176 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 Sonnet 4.6

## Problem Analysis The error occurs because `users` is `undefined` when the component renders. You're calling `.map()` on `undefined`, which throws a `TypeError`. **Common causes:** - The prop isn't passed by the parent component - Data is still loading asynchronously when the component first renders - The parent passes `undefined` or a misspelled prop name --- ## Solutions ### Option 1: Default Parameter Value (Simplest Fix) ```javascript function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` This assigns an empty array if `users` is `undefined`, so `.map()` always has an array to work with. --- ###…
9.4s798 output tokens

GPT-4.1 Mini

The error **"TypeError: Cannot read properties of undefined (reading 'map')"** means that the `users` prop passed to your `UserList` component is `undefined` at the time the component tries to render, so calling `.map()` on it throws an error. ### What's causing the error? - Your component expects `users` to be an array, but for some reason it is `undefined` when the component renders. - This could happen if: - The parent component that passes the `users` prop did not pass it or passed `undefined`. - The data is being fetched asynchronously and hasn't arrived yet. - The default prop is missing or no default fallback is handled. ### How to fix it? You want to ensure `users` is alway…
8.1s465 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 Sonnet 4.6

## Code Review and Improvements ### Issues Identified 1. **Imports inside function** – should be at module level 2. **Bare `except`** – catches everything including `KeyboardInterrupt`, `SystemExit` 3. **`== True` comparison** – not Pythonic 4. **No logging/error visibility** – silent failures make debugging hard 5. **Magic numbers** – hardcoded `2`, `10` with no explanation 6. **No distinction between retriable/non-retriable errors** – e.g., 404 should not be retried 7. **Inefficient list building** – list comprehension is cleaner 8. **No exponential backoff** – fixed sleep is naive for real-world retry logic 9. **Missing type hints and docstring** --- ### Improved Version ```python im…
14.4s1099 output tokens

GPT-4.1 Mini

Your function is functional but can be improved for readability, performance, and best practices. Here are some suggestions and an improved version of your function: ### Issues and improvements 1. **Imports**: Import at the top of the file rather than inside the function. 2. **Catch specific exceptions**: Avoid bare `except:` clauses. Catch specific exceptions like `requests.RequestException` or `json.decoder.JSONDecodeError`. 3. **Use list comprehension**: Instead of a loop with `append()`, use list comprehension for clarity and conciseness. 4. **Check boolean conditions directly**: Instead of `item["active"] == True`, just use `item["active"]`. 5. **Avoid sleeping after last retry**: No…
5.6s690 output tokens

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Frequently asked questions

Which is cheaper, Claude Sonnet 4.6 or GPT-4.1 Mini?
Per 1M output tokens, Claude Sonnet 4.6 is ¥2,772 and GPT-4.1 Mini is ¥285.92 on FastMetal (yen, before tax), so GPT-4.1 Mini is cheaper.
How do the context windows of Claude Sonnet 4.6 and GPT-4.1 Mini compare?
Claude Sonnet 4.6 takes 1,000,000 tokens; GPT-4.1 Mini takes 1,047,576.
Which ranks higher, Claude Sonnet 4.6 or GPT-4.1 Mini?
Claude Sonnet 4.6 ranks higher on the public arena (Claude Sonnet 4.6 #43, GPT-4.1 Mini #135). Ranks move as the leaderboard updates.
Can I use Claude Sonnet 4.6 and GPT-4.1 Mini with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-sonnet-4-6" or "gpt-4.1-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 Sonnet 4.6 and GPT-4.1 Mini from the browser chat and the API. No monthly fee.

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