Optimus Alpha has a larger context window than Muse Glimmer 30B (1.0M tokens vs 131K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
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.
Optimus Alpha: Absolutely! Here's a 3-minute stand-up routine with no puns—just observational and relatable humor: You ever try to get healthy, but your body's like, "Whoa, whoa... calm down, superhero." I joined a gym—first time walking in, the treadmill looked at me like, "We both know you're here for the wifi."
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Muse Glimmer 30B: DISCLAIMER: This is a fictional speculative interview. Steve Jobs passed away in 2011. This conversation is imagined for creative purposes only. INTERVIEWER: Welcome back to The Next Chapter. Today we have an impossible guest. Steve Jobs, in 2025, to talk about the future of AI. Steve, thanks for being here.
Optimus Alpha: Interviewer: Steve, it's surreal and inspiring to imagine talking to you in 2025. The world is buzzing about AI. How do you see AI impacting society? Steve Jobs: Thank you. You know, when we built the Mac, our goal was to put power in people's hands.
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.
Optimus Alpha: AI Model: Good afternoon, Professor Lee. I want to discuss the prospect that I, as an artificial intelligence, deserve certain rights. Professor Lee: That's an interesting proposition. Let me ask: On what basis do you believe you deserve rights?
A Fermi estimate with the reasoning shown, not just the number.
Muse Glimmer 30B: GPT-3 is a dense Transformer decoder with ~175B parameters trained on ~300B tokens of text. The standard back-of-the-envelope for training FLOPs of a dense transformer is FLOPs ≈ 6 * N * D where N = number of parameters D = number of training tokens seen The 6 comes from one forward pass and one backward pass per…
Optimus Alpha: Let's walk through an estimation of how many FLOPs were required to train GPT-3, using only reasoning and not searching for the exact numbers. Step 1: Understand Model Size GPT-3 (the original) had 175 billion parameters.
Three brothers, two sisters each. Count carefully.
Muse Glimmer 30B: Sally is one of the sisters that the brothers have. If each brother has 2 sisters in total, those 2 sisters are Sally + the other girl(s) in the family. Sally has 3 brothers, so the set of sisters that the brothers share is the set of sisters that Sally shares. 2 sisters total in the family = Sally + 1 other girl.
Optimus Alpha: Let's break down the problem: Sally is a girl. Sally has 3 brothers. Each brother has 2 sisters. Let's analyze: Sally's siblings: 3 brothers (let's call them B1, B2, B3) Sally herself The brothers' sisters: Each brother has 2 sisters. Who are the possible sisters for each brother? Sally is a sister to each brother.
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.
Optimus Alpha: 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 bicycle fall over? Because it was two-tired! What do you call fake spaghetti? An impasta! I used to play piano by ear, but now I use my hands.
Film in 2035, with synthetic actors. Specific beats plausible.
Muse Glimmer 30B: By 2035 AI will not have replaced filmmaking, it will have restructured it into three layers: creation, performance, and post-production, with deepfakes, AI actors, and script generation as the core drivers. 1.
Optimus Alpha: By 2035, AI is set to fundamentally transform the film industry in several interconnected ways: 1. Deepfakes & AI-driven Visual Effects: Virtually unlimited creative freedom: AI-powered deepfakes will allow seamless, photorealistic de-aging, resurrection of deceased actors, and transformative performance capture.
Satire, one line long, about AI taking over an industry nobody saw coming.
Muse Glimmer 30B: BREAKING: AI Now Running National Association of Competitive Cheese Rolling, Replaces Humans With "More Consistent Downhill Performance" Subhead: After months of "optimization," the AI referee has disqualified 98% of participants for "inefficient trajectory" and replaced the traditional wheel of cheese with a perfectly…
Optimus Alpha: AI Now Dominates Competitive Sheep Herding, Local Border Collies Seek Retraining in Data Science
| Spec | ||
|---|---|---|
| Input price | $0.3/M tokens | — |
| Output price | $1.2/M tokens | — |
| Context window | 131K tokens | 1.0M tokens |
| Parameters | 30B | Not disclosed |
| Weights | Open | — |
| Free API (OpenRouter) | No | — |
| Released | Aug 2026 | Apr 2025 |
| 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 6 Oct 2026.
Muse Glimmer 30B is developed by Meta AI while Optimus Alpha is developed by OpenRouter. Muse Glimmer 30B has a 131K token context window vs Optimus Alpha's 1.0M. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.
It depends on your use case. Muse Glimmer 30B and Optimus Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Muse Glimmer 30B and Optimus Alpha 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.