Model comparison

Claude Opus 4.8 vs GPT-4.1 Nano

Pricing, context window and real answers (September 2026)

Claude Opus 4.8 (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 Opus 4.8openai logoGPT-4.1 Nano
ProviderAnthropicOpenAI
Input (per 1M tokens)¥893.5¥17.87
Output (per 1M tokens)¥4,467.5¥71.48
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥3,127¥54
Context window1,000,000 tokens1,047,576 tokens
Release date5/27/20264/14/2025
Input modalitiestext, image, fileimage, text, file
Throughput (p50)
Arena · overall#35 · ELO 1,473#243 · ELO 1,322
Arena · Japanese#27 · ELO 1,454#195 · ELO 1,234
Arena · coding#15 · ELO 1,530#226 · ELO 1,374

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, 98% less than Claude Opus 4.8.
  • On the Overall arena board, Claude Opus 4.8 ranks higher (#35; GPT-4.1 Nano is #243).
  • On the Japanese arena board, Claude Opus 4.8 ranks higher (#27; GPT-4.1 Nano is #195).
  • On the Coding arena board, Claude Opus 4.8 ranks higher (#15; GPT-4.1 Nano is #226).
  • For long documents, GPT-4.1 Nano: a 1,047,576-token context window against 1,000,000 for Claude Opus 4.8.
  • 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 4.8

# Counting 'r's in "strawberry" ## Step-by-step process: Let me go through each letter one at a time: | Position | Letter | Is it 'r'? | |----------|--------|-----------| | 1 | s | No | | 2 | t | No | | 3 | r | ✓ Yes (1) | | 4 | a | No | | 5 | w | No | | 6 | b | No | | 7 | e | No | | 8 | r | ✓ Yes (2) | | 9 | r | ✓ Yes (3) | | 10 | y | No | ## Answer: There are **3** 'r's in "strawberry". The three 'r's appear at positions 3, 8, and 9 — one after the "st" and two together in the "rry" ending.
4.5s262 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 Opus 4.8

# What's Causing the Error The error tells you exactly what's happening: ``` TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) ``` At the moment `UserList` renders, the `users` prop is `undefined`, and you can't call `.map()` on `undefined`. This is extremely common when data is fetched asynchronously—the component renders **before** the data arrives. Common reasons `users` is undefined: - The parent hasn't passed the `users` prop at all - Data is still loading from an API (initial state is `undefined`) - The API response shape differs from what you expect (e.g. `data.users` vs `data`) --- # How to Fix It ## Option 1: De…
11.3s761 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 Opus 4.8

# Code Review Here's a breakdown of issues and suggested improvements for your function. ## Key Issues 1. **Imports inside the function** — should be at module level (runs on every call, harder to see dependencies). 2. **Bare `except:`** — catches everything, including `KeyboardInterrupt` and `SystemExit`. Silently swallowing errors makes debugging hard. 3. **Magic numbers** — `10`, `2`, `200` scattered around; extract as parameters/constants. 4. **`== True` comparison** — non-Pythonic; use the value directly (or `is True` if strict). 5. **Blocking `time.sleep(2)`** — fixed delay; exponential backoff is a better practice. 6. **`r.status_code == 200`** — misses other success codes; use `ra…
16.9s1403 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

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Frequently asked questions

Which is cheaper, Claude Opus 4.8 or GPT-4.1 Nano?
Per 1M output tokens, Claude Opus 4.8 is ¥4,467.5 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 Opus 4.8 and GPT-4.1 Nano compare?
Claude Opus 4.8 takes 1,000,000 tokens; GPT-4.1 Nano takes 1,047,576.
Which ranks higher, Claude Opus 4.8 or GPT-4.1 Nano?
Claude Opus 4.8 ranks higher on the public arena (Claude Opus 4.8 #27, GPT-4.1 Nano #195). Ranks move as the leaderboard updates.
Can I use Claude Opus 4.8 and GPT-4.1 Nano with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-4-8" 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 Opus 4.8 and GPT-4.1 Nano from the browser chat and the API. No monthly fee.

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