Model comparison

Claude Sonnet 5 vs GPT-5.4 Nano

Pricing, context window and real answers (September 2026)

Claude Sonnet 5 (Anthropic) 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

anthropic logoClaude Sonnet 5openai logoGPT-5.4 Nano
ProviderAnthropicOpenAI
Input (per 1M tokens)¥357.4¥35.74
Output (per 1M tokens)¥1,787¥223.38
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,251¥147
Context window1,000,000 tokens400,000 tokens
Release date6/30/20263/17/2026
Input modalitiestext, image, filefile, image, text
Throughput (p50)
Arena · overall#51 · ELO 1,461#146 · ELO 1,402
Arena · Japanese#30 · ELO 1,448#107 · ELO 1,368
Arena · coding#27 · ELO 1,520#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-5.4 Nano: ¥223.38 per 1M output tokens, 87% less than Claude Sonnet 5.
  • On the Overall arena board, Claude Sonnet 5 ranks higher (#51; GPT-5.4 Nano is #146).
  • On the Japanese arena board, Claude Sonnet 5 ranks higher (#30; GPT-5.4 Nano is #107).
  • On the Coding arena board, Claude Sonnet 5 ranks higher (#27; GPT-5.4 Nano is #128).
  • For long documents, Claude Sonnet 5: a 1,000,000-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.

Claude Sonnet 5

# Counting 'r's in "strawberry" **Step 1: Spell out the word letter by letter** s - t - r - a - w - b - e - r - r - y **Step 2: Number each letter position** | Position | Letter | |----------|--------| | 1 | s | | 2 | t | | 3 | **r** | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** | | 9 | **r** | | 10 | y | **Step 3: Identify and count the 'r's** - Position 3: **r** ✓ (1st r) - Position 8: **r** ✓ (2nd r) - Position 9: **r** ✓ (3rd r) **Answer: There are 3 r's in "strawberry"**
5.9s405 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…

Claude Sonnet 5

# Root Cause The `UserList` component receives `users` as a prop, but at the time it's rendered, `users` is `undefined` — not an empty array, but literally missing. When your code tries to call `.map()` on `undefined`, JavaScript throws that `TypeError`. This typically happens when: - The parent component hasn't fetched the data yet (e.g., an API call is still in progress) - The prop name doesn't match what's being passed down (typo) - The data source (API/state) genuinely returns `undefined` in some case # Fixes **1. Add a default prop value (quick fix)** ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </u…
8.8s750 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):…

Claude Sonnet 5

## Review of `get_data` Function Here's an improved version followed by an explanation of the changes: ```python import logging import time from typing import Any import requests logger = logging.getLogger(__name__) def get_data( url: str, retries: int = 3, timeout: float = 10.0, backoff_factor: float = 2.0, ) -> list[dict[str, Any]]: """ Fetch active items from the given URL. Args: url: The endpoint to fetch data from. retries: Number of attempts before giving up. timeout: Request timeout in seconds. backoff_factor: Multiplier for exponential backoff between retries. Returns: A list of dicts with "name" and "id"…
14.0s1299 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, Claude Sonnet 5 or GPT-5.4 Nano?
Per 1M output tokens, Claude Sonnet 5 is ¥1,787 and GPT-5.4 Nano is ¥223.38 on FastMetal (yen, before tax), so GPT-5.4 Nano is cheaper.
How do the context windows of Claude Sonnet 5 and GPT-5.4 Nano compare?
Claude Sonnet 5 takes 1,000,000 tokens; GPT-5.4 Nano takes 400,000.
Which ranks higher, Claude Sonnet 5 or GPT-5.4 Nano?
Claude Sonnet 5 ranks higher on the public arena (Claude Sonnet 5 #30, GPT-5.4 Nano #107). Ranks move as the leaderboard updates.
Can I use Claude Sonnet 5 and GPT-5.4 Nano with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-sonnet-5" 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 Claude Sonnet 5 and GPT-5.4 Nano from the browser chat and the API. No monthly fee.

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