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
| Pareto | ||
|---|---|---|
| Provider | OpenAI | Unbiased |
| 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 window | 1,050,000 tokens | 262,144 tokens |
| Release date | 7/9/2026 | 9/17/2026 |
| Input modalities | file, image, text | text, image |
| Throughput (p50) | — | — |
| Arena · overall | #45 · ELO 1,466 | Unranked |
| Arena · Japanese | #20 · ELO 1,467 | Unranked |
| Arena · coding | #35 · ELO 1,518 | Unranked |
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
Pareto
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
Pareto
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
Pareto
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.