Model comparison

Claude Opus 5.5 vs GPT-6 Astra

Pricing, context window and real answers (September 2026)

Claude Opus 5.5 (Anthropic) and GPT-6 Astra (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 5.5openai logoGPT-6 Astra
ProviderAnthropicOpenAI
Input (per 1M tokens)¥692.4¥1,787
Output (per 1M tokens)¥3,462¥8,935
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥2,423¥6,255
Context window1,000,000 tokens1,050,000 tokens
Release date9/22/20269/4/2026
Input modalitiestext, image, filefile, image, text
Throughput (p50)
Arena · overallUnranked#24 · ELO 1,480
Arena · JapaneseUnrankedUnranked
Arena · codingUnranked#6 · ELO 1,543

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

Which should you pick?

  • On price, Claude Opus 5.5: ¥3,462 per 1M output tokens, 61% less than GPT-6 Astra.
  • For long documents, GPT-6 Astra: a 1,050,000-token context window against 1,000,000 for Claude Opus 5.5.
  • 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 5.5

# Counting 'r's in "strawberry" **Step 1: Spell out the word letter by letter.** | Position | Letter | |----------|--------| | 1 | s | | 2 | t | | 3 | **r** ← | | 4 | a | | 5 | w | | 6 | b | | 7 | e | | 8 | **r** ← | | 9 | **r** ← | | 10 | y | **Step 2: Mark each 'r'.** - Position 3: the "r" in "st**r**aw" - Positions 8 and 9: the double "rr" in "be**rr**y" **Step 3: Add them up.** 1 (in "straw") + 2 (in "berry") = **3** **Answer: There are 3 'r's in "strawberry."** A common mistake is to count only 2, because the double "rr" in "berry" can be read as a single sound. Breaking the word into its parts, "straw" + "berry," makes all three easy to see.
5.4s376 output tokens

GPT-6 Astra

“strawberry” is spelled **s-t-r-a-w-b-e-r-r-y**. The letter **r** appears in positions **3, 8, and 9**, so there are **3 r’s**.
3.8s85 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 5.5

## What's causing it The error means `users` is `undefined` when `UserList` renders, so `users.map(...)` fails. The component itself is fine. The problem is the value it receives from its parent. Common reasons: 1. **Async data hasn't loaded yet.** This is the most common cause. The parent fetches users from an API, and on the first render the state is still `undefined`: ```jsx const [users, setUsers] = useState(); // undefined on first render useEffect(() => { fetch('/api/users').then(r => r.json()).then(setUsers); }, []); return <UserList users={users} />; // crashes before fetch completes ``` 2. **The prop isn't being passed**, or has a different name: ```js…
10.9s1040 output tokens

GPT-6 Astra

The error means **`users` is `undefined` when React renders `UserList`**, so calling `users.map(...)` fails. This commonly happens when the parent doesn’t pass the prop or when data hasn’t finished loading. ### 1. Default `users` to an empty array If an absent prop should mean “no users,” use a default value: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This handles a missing or `undefined` prop, but **not `null` or other non-array values**. ### 2. Check where the prop comes from Make sure the parent passes an array. For data loaded asynchronously, initialize state to…
6.7s380 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 5.5

# Code Review: `get_data` The function works in the happy path, but it has several issues that can hide bugs, waste time, and make failures hard to diagnose. ## Issues ### 🔴 Correctness and Reliability **1. The bare `except:` is the most serious problem.** It catches everything, including `KeyboardInterrupt`, `SystemExit`, and bugs in your own code. For example, if an item is missing the `"name"` key, the resulting `KeyError` gets swallowed and the request is retried as if it were a network error. The same happens with invalid JSON. Catch only the exceptions you expect, such as `requests.ConnectionError` and `requests.Timeout`. **2. Failure is indistinguishable from "no results."** Ret…
33.5s4023 output tokens

GPT-6 Astra

The function is compact, but its biggest issue is that **all failures silently become `[]`**, making an unavailable API indistinguishable from a successful response with no active items. ### Suggested improvements - **Move imports to module scope** for clarity and conventional organization. - **Avoid bare `except:`.** It catches everything, including `KeyboardInterrupt`, and hides bugs such as missing dictionary keys. - **Retry only transient failures**, such as connection errors, timeouts, rate limiting, and selected server errors. Retrying a `401` or `404` usually won’t help. - **Don’t sleep after the final failed attempt.** Use exponential backoff rather than a fixed delay. - **Use desc…
19.2s965 output tokens

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Frequently asked questions

Which is cheaper, Claude Opus 5.5 or GPT-6 Astra?
Per 1M output tokens, Claude Opus 5.5 is ¥3,462 and GPT-6 Astra is ¥8,935 on FastMetal (yen, before tax), so Claude Opus 5.5 is cheaper.
How do the context windows of Claude Opus 5.5 and GPT-6 Astra compare?
Claude Opus 5.5 takes 1,000,000 tokens; GPT-6 Astra takes 1,050,000.
Can I use Claude Opus 5.5 and GPT-6 Astra with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-5-5" or "gpt-6-astra" 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 5.5 and GPT-6 Astra from the browser chat and the API. No monthly fee.

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