Model comparison

GPT-5.6 Terra vs Pareto

Pricing, context window and real answers (September 2026)

GPT-5.6 Terra (OpenAI) and Pareto (Unbiased), 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-5.6 TerraPareto
ProviderOpenAIUnbiased
Input (per 1M tokens)¥357.4¥446.75
Output (per 1M tokens)¥2,144.4¥1,340.25
Typical cost (1,000 in + 500 out tokens × 1,000 calls)¥1,430¥1,117
Context window1,050,000 tokens262,144 tokens
Release date7/9/20269/17/2026
Input modalitiesfile, image, texttext, image
Throughput (p50)
Arena · overall#45 · ELO 1,466Unranked
Arena · Japanese#20 · ELO 1,467Unranked
Arena · coding#35 · ELO 1,518Unranked

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

Which should you pick?

  • On price, Pareto: ¥1,340.25 per 1M output tokens, 38% less than GPT-5.6 Terra.
  • For long documents, GPT-5.6 Terra: a 1,050,000-token context window against 262,144 for Pareto.
  • 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-5.6 Terra

“strawberry” is spelled: s t **r** a w b e **r** **r** y There are **3** occurrences of the letter **r**.
3.6s71 output tokens

Pareto

To count the number of 'r's in the word "strawberry," let's break it down letter by letter: 1. **s** - not an 'r' 2. **t** - not an 'r' 3. **r** - **Yes**, this is the first 'r'. 4. **a** - not an 'r' 5. **w** - not an 'r' 6. **b** - not an 'r' 7. **e** - not an 'r' 8. **r** - **Yes**, this is the second 'r'. 9. **r** - **Yes**, this is the third 'r'. 10. **y** - not an 'r' Counting the occurrences: - The 3rd letter is 'r'. - The 8th letter is 'r'. - The 9th letter is 'r'. There are **3** 'r's in "strawberry".
5.5s225 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-5.6 Terra

The error means `users` is `undefined` when `UserList` renders, so React tries to evaluate: ```js users.map(...) ``` But `.map()` only exists on arrays. Common causes: - The parent component does not pass a `users` prop. - The user data is loaded asynchronously and has not arrived on the first render. - The API response shape differs from what you expect, e.g. data is in `response.data.users` rather than `response.data`. - The parent initializes its user state as `undefined` or `null`. ## Fix options ### 1. Initialize users as an empty array In the parent component: ```jsx const [users, setUsers] = useState([]); ``` Then pass it normally: ```jsx <UserList users={users} /> ``` An e…
5.8s559 output tokens

Pareto

The error means `users` is `undefined` when `UserList` renders. Destructuring a prop does **not** protect against it: ```jsx function UserList({ users }) { // users can still be undefined return <ul>{users.map(...)}</ul>; // 💥 } ``` This usually happens when: - The parent renders `<UserList />` without passing `users` - The parent’s state starts as `undefined` before an async fetch finishes - The API response is not an array, or `users` is passed as `undefined` ## Fix 1: Default the prop to an empty array ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This works when…
11.6s1478 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-5.6 Terra

Here are the main areas to improve: ### Issues in the original code - **Imports inside the function**: Move `requests` and `time` imports to module scope. - **Bare `except:`**: This catches everything, including `KeyboardInterrupt` and programming errors. Catch `requests.RequestException` (and possibly JSON decoding errors) instead. - **Status code check**: Prefer `response.raise_for_status()` or `response.ok` over manually checking only for `200`. Successful responses can include other 2xx status codes. - **`== True`**: Use `if item.get("active"):` instead. - **Potential `KeyError`**: `item["name"]`, `item["id"]`, and `item["active"]` can fail if the API response is incomplete. Use `.get(…
10.6s939 output tokens

Pareto

The function is straightforward, but its error handling hides failures and retries requests that may never succeed. ### Main improvements - **Move imports to module scope** for readability and conventional dependency management. - **Avoid bare `except:`.** It catches everything, including programming errors and `KeyboardInterrupt`. Catch specific request failures instead. - **Retry selectively.** Timeouts, connection failures, rate limits, and certain server errors may be temporary; most other HTTP errors should surface immediately. - **Use exponential backoff** and avoid sleeping after the last attempt. - **Use a list comprehension** to express the filtering and transformation directly. -…
30.3s1090 output tokens

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Frequently asked questions

Which is cheaper, GPT-5.6 Terra or Pareto?
Per 1M output tokens, GPT-5.6 Terra is ¥2,144.4 and Pareto is ¥1,340.25 on FastMetal (yen, before tax), so Pareto is cheaper.
How do the context windows of GPT-5.6 Terra and Pareto compare?
GPT-5.6 Terra takes 1,050,000 tokens; Pareto takes 262,144.
Can I use GPT-5.6 Terra and Pareto with the same API key?
Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "gpt-5.6-terra" or "pareto" 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-5.6 Terra and Pareto from the browser chat and the API. No monthly fee.

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