Model comparison

GPT-4.1 Nano vs GPT-5.4 Nano

Pricing, context window and real answers (September 2026)

GPT-4.1 Nano (OpenAI) and GPT-5.4 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

openai logoGPT-4.1 Nanoopenai logoGPT-5.4 Nano
ProviderOpenAIOpenAI
Input (per 1M tokens)¥17.87¥35.74
Output (per 1M tokens)¥71.48¥223.38
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥54¥147
Context window1,047,576 tokens400,000 tokens
Release date4/14/20253/17/2026
Input modalitiesimage, text, filefile, image, text
Throughput (p50)
Arena · overall#243 · ELO 1,322#146 · ELO 1,402
Arena · Japanese#195 · ELO 1,234#107 · ELO 1,368
Arena · coding#226 · ELO 1,374#128 · ELO 1,460

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 Nano: ¥71.48 per 1M output tokens, 68% less than GPT-5.4 Nano.
  • On the Overall arena board, GPT-5.4 Nano ranks higher (#146; GPT-4.1 Nano is #243).
  • On the Japanese arena board, GPT-5.4 Nano ranks higher (#107; GPT-4.1 Nano is #195).
  • On the Coding arena board, GPT-5.4 Nano ranks higher (#128; GPT-4.1 Nano is #226).
  • For long documents, GPT-4.1 Nano: a 1,047,576-token context window against 400,000 for GPT-5.4 Nano.
  • 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.

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

GPT-5.4 Nano

**Step 1:** Write the word: **strawberry** **Step 2:** Count each letter **r** in the word: - s **t r** a w b e **r r** y There are **3** **r**’s in total (**one** after the **t**, and **two** near the end). ✅ **Answer: 3**
1.5s86 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…

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

GPT-5.4 Nano

This error means that **`users` is `undefined` (or otherwise not an array)** when your component renders, so calling `users.map(...)` throws: ```js users.map(...) ^^^^ reading 'map' of undefined ``` ### Why it happens Common causes: - You render `<UserList />` before data has loaded (e.g., `users` comes from an async fetch). - The parent component passes the wrong prop name (e.g., `user` instead of `users`). - The API/parent state initializes `users` as `undefined` rather than `[]`. - You’re destructuring a prop incorrectly upstream. ### Fix options #### 1) Ensure `users` is always an array (recommended) Initialize/default it in the component: ```js function UserList({ users = []…
3.3s383 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):…

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

GPT-5.4 Nano

Here are key improvements (readability, performance, robustness, best practices) and a revised version of your function. ## What to improve 1. **Avoid bare `except:`** Catch specific exceptions from `requests` (e.g., `requests.exceptions.RequestException`) to avoid hiding bugs. 2. **Prefer `raise_for_status()` or check status codes clearly** `r.raise_for_status()` is a common pattern. 3. **Use exponential backoff (or at least a clear retry delay)** Instead of sleeping the same amount every time, consider increasing delay. 4. **Reuse a `requests.Session()` (optional but best practice)** If this function is called repeatedly, passing a session or creating one outside i…
4.4s718 output tokens

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Frequently asked questions

Which is cheaper, GPT-4.1 Nano or GPT-5.4 Nano?
Per 1M output tokens, GPT-4.1 Nano is ¥71.48 and GPT-5.4 Nano is ¥223.38 on FastMetal (yen, before tax), so GPT-4.1 Nano is cheaper.
How do the context windows of GPT-4.1 Nano and GPT-5.4 Nano compare?
GPT-4.1 Nano takes 1,047,576 tokens; GPT-5.4 Nano takes 400,000.
Which ranks higher, GPT-4.1 Nano or GPT-5.4 Nano?
GPT-5.4 Nano ranks higher on the public arena (GPT-4.1 Nano #195, GPT-5.4 Nano #107). Ranks move as the leaderboard updates.
Can I use GPT-4.1 Nano and GPT-5.4 Nano with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-4.1-nano" or "gpt-5.4-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 GPT-4.1 Nano and GPT-5.4 Nano from the browser chat and the API. No monthly fee.

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