Model comparison

Claude Opus 4.8 vs GPT-4.1 Mini

Pricing, context window and real answers (September 2026)

Claude Opus 4.8 (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 Opus 4.8openai logoGPT-4.1 Mini
ProviderAnthropicOpenAI
Input (per 1M tokens)¥893.5¥71.48
Output (per 1M tokens)¥4,467.5¥285.92
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥3,127¥214
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#172 · ELO 1,383
Arena · Japanese#27 · ELO 1,454#135 · ELO 1,330
Arena · coding#15 · ELO 1,530#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, 94% less than Claude Opus 4.8.
  • On the Overall arena board, Claude Opus 4.8 ranks higher (#35; GPT-4.1 Mini is #172).
  • On the Japanese arena board, Claude Opus 4.8 ranks higher (#27; GPT-4.1 Mini is #135).
  • On the Coding arena board, Claude Opus 4.8 ranks higher (#15; 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 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 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 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 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 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 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 Opus 4.8 or GPT-4.1 Mini?
Per 1M output tokens, Claude Opus 4.8 is ¥4,467.5 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 Opus 4.8 and GPT-4.1 Mini compare?
Claude Opus 4.8 takes 1,000,000 tokens; GPT-4.1 Mini takes 1,047,576.
Which ranks higher, Claude Opus 4.8 or GPT-4.1 Mini?
Claude Opus 4.8 ranks higher on the public arena (Claude Opus 4.8 #27, GPT-4.1 Mini #135). Ranks move as the leaderboard updates.
Can I use Claude Opus 4.8 and GPT-4.1 Mini with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-4-8" 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 Opus 4.8 and GPT-4.1 Mini from the browser chat and the API. No monthly fee.

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