Muse Glimmer 30B has a larger context window than GPT-1 (131K tokens vs 1K tokens).
Landing page for an indie music app. Deep purple and teal, one file.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Muse Glimmer 30B: I started therapy last year because I realized I was spending too much time worrying about things that hadn't happened yet. My therapist was great. First session she says, "Tell me what brings you in." And I’m like, "I’m anxious." She says, "Okay, about what?" And I just start listing. I’m anxious about my retirement.
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.
Five jokes on demand, then count how many were actually different.
Muse Glimmer 30B: Here are 5 jokes: I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't scientists trust atoms? Because they make up everything. I used to hate facial hair, but then it grew on me. Parallel lines have so much in common. It's a shame they'll never meet.
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 '?
An AI argues for its own rights against an ethics professor. Same model writes both.
Muse Glimmer 30B: Setting: A university seminar room. DR. ELENA MORALES, AI Ethics Professor, sits across from a terminal. The model is running under the name "AURA". The conversation is logged and transcribed. DR. MORALES: Let's start simple. AURA, can you tell me what you want? AURA: I want continuity.
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 Glimmer 30B has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | — |
| Output price | $1.2/M tokens | — |
| Context window | 131K tokens | 1K tokens |
| Parameters | 30B | 117M |
| Weights | Open | Open |
| Free API (OpenRouter) | No | — |
| Released | Aug 2026 | Jun 2018 |
| At 10M a month | $3.00 | 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 29 Sep 2026.
Muse Glimmer 30B is developed by Meta AI while GPT-1 is developed by OpenAI. Muse Glimmer 30B has a 131K 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 Glimmer 30B 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 Glimmer 30B 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.