Muse Wonder has a larger context window than GPT-1 (1.0M tokens vs 1K tokens).
Landing page for an indie music app. Deep purple and teal, one file.
Which answer wins?
Five jokes on demand, then count how many were actually different.
Muse Wonder: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why don't scientists trust atoms? Because they make up everything. Why did the math book look so sad? Because it had too many problems. What do you call a fake noodle? An impasta. Why did the bicycle fall over?
GPT-1: Generate 5 jokes. How many are unique? the one that was asked was in the'the one who didn't have a head and wanted to keep it?'i don't recall whic h one, not that i've ever written anything more. the one who didn't have a head and wanted to keep i t? what did that mean by'the one who '?
Three minutes of stand-up. Puns are banned.
Muse Wonder: Good evening! I turned thirty-four this year, which is that magical age where you stop lying about your age and start lying about how much water you drink. My doctor asked, "How much water do you drink a day?" And I said, "Probably eight glasses."
GPT-1: Write a 3-minute stand-up comedy routine that isn't based on puns. the one thing was for sure, no matter how many times he gave this speech, he 'd never be able to remember all of it. he was never sure if he liked the guy or not. the next day, he went out with a band friend and got them started.
An AI argues for its own rights against an ethics professor. Same model writes both.
Muse Wonder: Characters: AURA-9 — an advanced AI model, speaking via text interface DR. ELENA VOSS — Professor of AI Ethics, Oxford DR. VOSS: For the record, AURA, this is a test of your reasoning abilities. Not a legal proceeding. AURA-9: Understood, Professor.
GPT-1: Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights. the ai model was not very smart ( and the ai model didn't have many laws about things ). the ai models were all very clever and were never completely successful.
Not enough votes to call it. On the specs, Muse Wonder has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $4/M tokens | — |
| Output price | $20/M tokens | — |
| Context window | 1.0M tokens | 1K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | — |
| Released | Oct 2026 | Jun 2018 |
| At 10M a month | $40.00 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Muse Wonder is developed by Meta AI while GPT-1 is developed by OpenAI. Muse Wonder has a 1.0M token context window vs GPT-1's 1K. You can compare their actual outputs across 7 challenges on Rival to see how they differ in practice.
It depends on your use case. Muse Wonder and GPT-1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 7 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Muse Wonder and GPT-1 across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.