Model comparison

Claude Opus 4.6 vs GPT-5.6 Sol

Pricing, context window and real answers (August 2026)

Claude Opus 4.6 (Anthropic) and GPT-5.6 Sol (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 4.6openai logoGPT-5.6 Sol
ProviderAnthropicOpenAI
Input (per 1M tokens)¥850¥893.5
Output (per 1M tokens)¥4,200¥5,361
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥2,950¥3,574
Context window1,000,000 tokens1,050,000 tokens
Release date2/4/20267/9/2026
Input modalitiestext, imagefile, image, text
Arena · overall#5 · ELO 1,497#17 · ELO 1,482
Arena · Japanese#16 · ELO 1,482#1 · ELO 1,529
Arena · coding#5 · ELO 1,546#15 · ELO 1,528

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 4.6: ¥4,200 per 1M output tokens, 22% less than GPT-5.6 Sol.
  • On the Overall arena board, Claude Opus 4.6 ranks higher (#5; GPT-5.6 Sol is #17).
  • On the Japanese arena board, GPT-5.6 Sol ranks higher (#1; Claude Opus 4.6 is #16).
  • On the Coding arena board, Claude Opus 4.6 ranks higher (#5; GPT-5.6 Sol is #15).
  • For long documents, GPT-5.6 Sol: a 1,050,000-token context window against 1,000,000 for Claude Opus 4.6.
  • 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 4.6

I need to count the number of 'r's in the word 'strawberry'. Let me go through it letter by letter. **s** - not an r **t** - not an r **r** - this is an r ✓ (count: 1) **a** - not an r **w** - not an r **b** - not an r **e** - not an r **r** - this is an r ✓ (count: 2) **r** - this is an r ✓ (count: 3) **y** - not an r There are **3** r's in 'strawberry'.
3.2s158 output tokens

GPT-5.6 Sol

“strawberry” can be split into letters: s, t, **r**, a, w, b, e, **r**, **r**, y The letter **r** appears **3 times**.
3.0s78 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 4.6

# Understanding the Error The error `Cannot read properties of undefined (reading 'map')` means that **`users` is `undefined`** when the component renders. You're trying to call `.map()` on a value that doesn't exist yet. This typically happens when: - The parent component doesn't pass the `users` prop - The data is being fetched asynchronously and hasn't loaded yet - The prop name is misspelled ## Solutions ### 1. Add a Default Parameter Value (Simplest Fix) ```javascript function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` ### 2. Add a Guard with Optional Chaining ```javascript function UserList({…
10.5s599 output tokens

GPT-5.6 Sol

The error occurs because `users` is `undefined` when `UserList` renders, so JavaScript cannot call `.map()` on it. This often happens when data is loaded asynchronously or the parent does not pass the prop. ### Fix options **1. Give `users` a default value:** ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` Note that this handles `undefined`, but not an explicitly passed `null`. **2. Handle missing or invalid data explicitly:** ```jsx function UserList({ users }) { if (!Array.isArray(users)) { return <p>No users available.</p>; } return ( <ul> {users.m…
7.1s395 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 4.6

# Code Review: `get_data` Function ## Original Issues Identified 1. **Imports inside function** – reduces clarity and adds per-call overhead 2. **Bare `except`** – catches everything including `KeyboardInterrupt` and `SystemExit` 3. **`== True` comparison** – non-Pythonic 4. **Manual list building** – could use a list comprehension 5. **No logging** – failures happen silently 6. **No response validation** – assumes JSON is always a list of dicts with specific keys 7. **Magic numbers** – `timeout=10`, `sleep(2)` unexplained 8. **Vague function/variable names** – `r`, `data`, `get_data` --- ## Improved Version ```python import logging import time from typing import Any import requests fr…
19.9s1223 output tokens

GPT-5.6 Sol

### Issues and suggested improvements - Move imports to module scope. - Avoid bare `except:`; it catches programming errors and interrupts such as `KeyboardInterrupt`. - Use `response.raise_for_status()` instead of manually checking only for `200`; other 2xx responses may also be valid. - Retry only transient failures, such as timeouts, connection errors, `429`, and selected `5xx` responses. Retrying most `4xx` errors is not useful. - Use exponential backoff rather than a fixed delay. - Avoid sleeping after the final failed attempt. - Replace `item["active"] == True` with `item.get("active") is True`. - Use a list comprehension for the transformation. - Add type hints and validate arguments…
33.1s1646 output tokens

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Frequently asked questions

Which is cheaper, Claude Opus 4.6 or GPT-5.6 Sol?
Per 1M output tokens, Claude Opus 4.6 is ¥4,200 and GPT-5.6 Sol is ¥5,361 on FastMetal (yen, before tax), so Claude Opus 4.6 is cheaper.
How do the context windows of Claude Opus 4.6 and GPT-5.6 Sol compare?
Claude Opus 4.6 takes 1,000,000 tokens; GPT-5.6 Sol takes 1,050,000.
Which ranks higher, Claude Opus 4.6 or GPT-5.6 Sol?
GPT-5.6 Sol ranks higher on the public arena (Claude Opus 4.6 #16, GPT-5.6 Sol #1). Ranks move as the leaderboard updates.
Can I use Claude Opus 4.6 and GPT-5.6 Sol with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "anthropic-claude-opus-4-6" or "gpt-5.6-sol" 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 4.6 and GPT-5.6 Sol from the browser chat and the API. No monthly fee.

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