Model comparison

GPT-4.1 Mini vs gpt-oss-120b

Pricing, context window and real answers (September 2026)

GPT-4.1 Mini (OpenAI) and gpt-oss-120b (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 Miniopenai logogpt-oss-120b
ProviderOpenAIOpenAI
Input (per 1M tokens)¥71.48¥16
Output (per 1M tokens)¥285.92¥79
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥214¥56
Context window1,047,576 tokens131,072 tokens
Release date4/14/20258/5/2025
Input modalitiesimage, text, filetext
Throughput (p50)
Arena · overall#172 · ELO 1,383#201 · ELO 1,352
Arena · Japanese#135 · ELO 1,330#136 · ELO 1,328
Arena · coding#164 · ELO 1,433#208 · ELO 1,391

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

Which should you pick?

  • On price, gpt-oss-120b: ¥79 per 1M output tokens, 72% less than GPT-4.1 Mini.
  • On the Overall arena board, GPT-4.1 Mini ranks higher (#172; gpt-oss-120b is #201).
  • On the Japanese arena board, GPT-4.1 Mini ranks higher (#135; gpt-oss-120b is #136).
  • On the Coding arena board, GPT-4.1 Mini ranks higher (#164; gpt-oss-120b is #208).
  • For long documents, GPT-4.1 Mini: a 1,047,576-token context window against 131,072 for gpt-oss-120b.
  • 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 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

gpt-oss-120b

**Step‑by‑step count of the letter “r” in the word “strawberry”** 1. Write out the word with each letter in order, labeling its position: | Position | Letter | |----------|--------| | 1 | s | | 2 | t | | 3 | **r** | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** | | 9 | **r** | |10 | y | 2. Scan the list and mark every occurrence of the letter **r**. - Position 3 → r (first occurrence) - Position 8 → r (second occurrence) - Position 9 → r (third occurrence) 3. Count the marked entries: there are **3** marked positions. **Result:** The word “strawberry” contains **3** occurrences of the letter **r**…
1.7s332 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 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

gpt-oss-120b

### Why the `map` can’t be called `Array.prototype.map` is a method that exists only on **arrays** (or array‑like objects). When you see ``` TypeError: Cannot read properties of undefined (reading 'map') at UserList (...) ``` it means that the variable you think is an array – `users` in this case – is actually **`undefined`** (or `null`). React is trying to evaluate this line: ```jsx {users.map(user => <li key={user.id}>{user.name}</li>)} ``` and it crashes because you can’t read `.map` from `undefined`. --- ## Common reasons `users` ends up undefined | Reason | Typical scenario | How it shows up | |--------|------------------|-----------------| | **Prop not passed** | `<Use…
7.3s1610 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 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

gpt-oss-120b

Below is a **step‑by‑step review** of the original `get_data` implementation followed by a **refactored version** that addresses readability, performance, and modern Python best‑practice concerns. --- ## 1. What the original function does ```python def get_data(url, retries=3): import requests import time for i in range(retries): try: r = requests.get(url, timeout=10) if r.status_code == 200: data = r.json() result = [] for item in data: if item["active"] == True: result.append({"name": item["name"], "id": item["id"]}) return result…
14.4s3132 output tokens

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Frequently asked questions

Which is cheaper, GPT-4.1 Mini or gpt-oss-120b?
Per 1M output tokens, GPT-4.1 Mini is ¥285.92 and gpt-oss-120b is ¥79 on FastMetal (yen, before tax), so gpt-oss-120b is cheaper.
How do the context windows of GPT-4.1 Mini and gpt-oss-120b compare?
GPT-4.1 Mini takes 1,047,576 tokens; gpt-oss-120b takes 131,072.
Which ranks higher, GPT-4.1 Mini or gpt-oss-120b?
GPT-4.1 Mini ranks higher on the public arena (GPT-4.1 Mini #135, gpt-oss-120b #136). Ranks move as the leaderboard updates.
Can I use GPT-4.1 Mini and gpt-oss-120b with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-4.1-mini" or "gpt-oss-120b" 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 Mini and gpt-oss-120b from the browser chat and the API. No monthly fee.

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