Model comparison

Claude Sonnet 5.5 vs GPT-4.1 Nano

Pricing, context window and real answers (September 2026)

Claude Sonnet 5.5 (Anthropic) and GPT-4.1 Nano (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 5.5openai logoGPT-4.1 Nano
ProviderAnthropicOpenAI
Input (per 1M tokens)¥357.4¥17.87
Output (per 1M tokens)¥1,787¥71.48
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,251¥54
Context window1,000,000 tokens1,047,576 tokens
Release date9/28/20264/14/2025
Input modalitiestext, image, fileimage, text, file
Throughput (p50)——
Arena · overallUnranked#250 · ELO 1,322
Arena · JapaneseUnranked#202 · ELO 1,233
Arena · codingUnranked#233 · ELO 1,373

Prices are FastMetal's yen rates before tax.

Rankings: LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset), CC BY 4.0, snapshot 2026-09-25; category names mapped and ratings rounded by FastMetal.

Which should you pick?

  • On price, GPT-4.1 Nano: ¥71.48 per 1M output tokens, 96% less than Claude Sonnet 5.5.
  • For long documents, GPT-4.1 Nano: a 1,047,576-token context window against 1,000,000 for Claude Sonnet 5.5.
  • 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 5.5

Let me go through the word letter by letter. **strawberry** | Position | Letter | |---|---| | 1 | s | | 2 | t | | 3 | **r** ← 1st | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** ← 2nd | | 9 | **r** ← 3rd | | 10 | y | **Step-by-step reasoning:** 1. I split the word into individual letters: s-t-r-a-w-b-e-r-r-y (10 letters total). 2. I checked each letter for 'r'. 3. The first 'r' is in position 3, in "str…". 4. The second and third 'r's are in positions 8 and 9, in the "…rry" ending. **Answer: There are 3 r's in "strawberry".** A common mistake is to see "berry" as having only one 'r' (or to treat the double-r as a single letter), which leads to the incorrect answer of 2.
3.1s332 output tokens

GPT-4.1 Nano

Let's analyze the word "strawberry" step by step to count the number of 'r's. 1. Write down the word: **strawberry** 2. Examine each letter one by one: - s: no - t: no - r: yes (first 'r') - a: no - w: no - b: no - e: no - r: yes (second 'r') - r: yes (third 'r') - y: no 3. Counting the 'r's found: - First 'r' (at position 3) - Second 'r' (at position 8) - Third 'r' (at position 9) So, there are **3** 'r's in "strawberry." **Final answer: 3**
2.0s183 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 5.5

## Cause `users` is `undefined` when the component renders, so `users.map(...)` throws. This happens when: 1. **The parent doesn't pass the prop**, or passes it under a different name (e.g. `<UserList data={x} />` or a typo like `user=`). 2. **The data loads asynchronously.** On the first render, the state or fetch result hasn't arrived yet. 3. **The value is wrong.** For example, the API returns `{ users: [...] }` and you passed the whole object, or you're reading a property that doesn't exist (`response.data.users` vs `response.users`). ## Fixes ### 1. Default value (simplest) ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{use…
6.7s824 output tokens

GPT-4.1 Nano

The error: ``` TypeError: Cannot read properties of undefined (reading 'map') ``` indicates that `users` is `undefined` at the time your `UserList` component is rendering, and you're trying to call `map` on it. ### Why is this happening? In React, if a prop (`users` in this case) is not provided or is undefined, trying to do `users.map(...)` causes this error. This can happen if: - The parent component does not pass `users`. - `users` might be `null` or `undefined` initially, especially if data fetching is involved. ### How to fix it **Option 1: Provide a default value for `users`** Ensure that `users` defaults to an empty array if it is not provided: ```jsx function UserList({ users…
4.3s514 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 5.5

# Code Review ## Main Issues ### 1. Bare `except:` hides bugs (most important) It catches everything, including `KeyboardInterrupt` and `SystemExit`. It also wraps your parsing logic, so a missing `"active"` key (`KeyError`) or bad JSON is treated as a network failure, retried 3 times with sleeps, and then silently becomes `[]`. Catch only `requests.RequestException`, and keep parsing outside the `try`. ### 2. Silent failure Returning `[]` after all retries fails is indistinguishable from "the server returned no active items." Callers can't tell whether something went wrong. Raise an exception (or at least log) once retries are exhausted. ### 3. Retry logic - It sleeps after the final at…
20.9s3003 output tokens

GPT-4.1 Nano

Here's a review and an improved version of your function: ### Key improvements: 1. **Move imports to the top**: Imports should generally be at the top of the file, not inside functions. 2. **Specify exception types**: Catch specific exceptions rather than a generic `except`. 3. **Use context managers if needed**: Not necessary here, but good to consider. 4. **Avoid repeated code**: The sleep statement is the same whether there is a request exception or a non-200 status. 5. **Simplify filtering**: Use list comprehensions for clarity. 6. **Improve variable names**: For readability. 7. **Add optional headers or parameters** if needed (not required here). 8. **Optional:** Add more descriptive e…
3.4s391 output tokens

Compare on more prompts →

Frequently asked questions

Which is cheaper, Claude Sonnet 5.5 or GPT-4.1 Nano?
Per 1M output tokens, Claude Sonnet 5.5 is ¥1,787 and GPT-4.1 Nano is ¥71.48 on FastMetal (yen, before tax), so GPT-4.1 Nano is cheaper.
How do the context windows of Claude Sonnet 5.5 and GPT-4.1 Nano compare?
Claude Sonnet 5.5 takes 1,000,000 tokens; GPT-4.1 Nano takes 1,047,576.
Can I use Claude Sonnet 5.5 and GPT-4.1 Nano with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-sonnet-5-5" or "gpt-4.1-nano" 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 5.5 and GPT-4.1 Nano from the browser chat and the API. No monthly fee.

More comparisons with Claude Sonnet 5.5

More comparisons with GPT-4.1 Nano