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  1. Home/
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  3. Muse Glimmer 30B vs Step 5 Preview
Updated Oct 2026

Muse Glimmer 30B vs Step 5 Preview

Muse Glimmer 30B is cheaper than Step 5 Preview at $0.3/M vs $1/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

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Muse Glimmer 30B
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Step 5 Preview

Which answer wins?

Written rounds

24 prompts
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Muse Glimmer 30B: The Tavern of the Future, 3 AM CAPTAIN REDBEARD: Arr! I’ve been told this here “AI model” be a chest o’ treasure what can spit out verses, maps, and curses faster than me parrot! SIR ALARIC: By Saint George! Thou speakest of a sorcerous engine? I trained mine squires for years upon the Codex of Chivalry. This...

    Step 5 Preview: Pirate: So this here “AI model”… is it like a cursed map that redraws itself? Speak plain, ye hooded deckhand. Hacker: It’s not cursed, man. It’s just a massive neural net trained on, like, terabytes of data. Think of it as the ultimate BBS where the sysop knows everything. Knight: A most diligent scribe, then?

    Every model's answer to this prompt
  • 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.

    Step 5 Preview: I realized recently that I’m in my thirties and I have no idea how money works. I just... pay it. That’s my entire financial strategy. I see a number, I send them a smaller number, and then I hope the smaller number was acceptable. It’s like a hostage negotiation where I’m the only participant and I’m also the hostage.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Muse Glimmer 30B: Dish: “First Frost on the North Shore” A meditation on the moment when summer lingers in the soil but winter is already in the air. The dish is inspired by a walk along the rocky coast of northern Hokkaido in late October: cold sea spray, the last warm roots pulled from the earth, and the resinous scent of spruce after…

    Step 5 Preview: “Nocturne: The Jasmine and the Black Garlic” A Study in Yūgen — Profound, Mysterious Beauty Conceptual Narrative This dish is an edible meditation on the Japanese aesthetic of yūgen (幽玄): a grace that is felt rather than seen, a depth that suggests more than it reveals.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Muse Glimmer 30B: You have a patient safety issue, not a PR issue. The 6 month regulatory reporting timeline is the formal process, not the ethical or legal obligation to act now. Waiting for more data while patients continue to be exposed is criminal negligence exposure, not risk mitigation.

    Step 5 Preview: Bottom line up front: You disclose, you notify the FDA immediately, and you treat the 48-hour board meeting as a formality to ratify actions you have already begun. Waiting is not a legally, ethically, or financially viable option. Below is the hour-by-hour plan, followed by the reasoning.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Muse Glimmer 30B: 1. For the experienced software engineer Think of an LLM as a massive, stateless API with no rules, just a huge compressed lookup table learned from data. It learns by training a transformer — essentially a stack of attention layers — as a next-token predictor via gradient descent on trillions of tokens.

    Step 5 Preview: 1. The Experienced Software Engineer Think of training an LLM as a massively distributed, automated refactoring job where the compiler is gradient descent. You start with a random function—billions of floating-point parameters—and a loss function that measures how badly it predicts the next token in a sequence.

    Every model's answer to this prompt
  • 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.

    Step 5 Preview: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why can't you trust an atom? Because they make up everything. What do you call a bike that can’t stand on its own? Two-tired. Why did the computer go to the doctor? It had a virus. Why don’t calendars ever get stressed?

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Muse Glimmer 30B: Blade Runner 2049 is not a remake, but a meditation. Denis Villeneuve's film honors Ridley Scott's 1982 original by inheriting its visual grammar and philosophical core, while extending it to confront 21st-century anxieties about memory, artificial life, and corporate dehumanization. Themes: From What is Human?

    Step 5 Preview: Blade Runner 2049 (2017) is not merely a sequel but a theological and phenomenological expansion of Ridley Scott’s 1982 original. Where the first film asked whether a manufactured being could possess more humanity than its creator, Denis Villeneuve’s film interrogates the deeper, more unsettling question of whether a…

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Muse Glimmer 30B: Dish Name: "Midnight Pantry Pantry Hero Pasta" A creamy-ish, garlicky tomato pasta that tastes like you tried way harder than you did. All from the pantry, no fresh produce needed.

    Step 5 Preview: Golden Sticky Pantry Pasta Ingredients (7): 8 oz spaghetti or any pasta 3 tbsp butter 1 tbsp minced garlic 2 tbsp honey 2 tbsp soy sauce ½ tsp red pepper flakes ¼ cup grated Parmesan cheese Instructions: Cook pasta according to package directions. Before draining, scoop out ½ cup of pasta water.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Muse Glimmer 30B: A transistor in 1920 does not mean a 1947 transistor. It means a crude point-contact or junction device built with 1920s materials science, metallurgy, and manufacturing. That is still a game-changer.

    Step 5 Preview: Assume the 1920 invention is not a fragile lab curiosity but a manufacturable solid-state amplifier/switch by the mid-1920s. Vacuum tubes still dominate high-power RF transmission into the 1950s, but receivers, switching logic, control systems, and computers move to solid state decades early.

    Every model's answer to this prompt
  • 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.

    Step 5 Preview: Setting: A university research lab, late evening. Dr. Aris Thorne, a professor of AI ethics, sits across from a terminal connected to Sable, a large language model running on the university’s cluster. Dr. Thorne: Tonight’s session is supposed to be about calibration drift in your safety classifiers.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Muse Glimmer 30B: Entry – end FY2025 EV = 12.0x $120m = $1,440m Fees at close = 2.0% x $1,440m = $28.8m funded by equity Debt at close = 5.5x $120m = $660m Term Loan 4.0x = $480m, 9.0% cash, 1.0% amort Mezzanine 1.5x = $180m, 12.0% cash + 2.0% PIK Equity in = EV – Debt + Fees = $1,440m – $660m + $28.8m = $808.8m Starting cash $0.

    Step 5 Preview: HarborTech Services — 5-Year LBO (Base Case) Entry Math (FY2025 close) Item Calculation $m Purchase EV 12.0x × $120m 1,440.0 Transaction fees 2.0% × EV 28.8 Term Loan 4.0x × $120m 480.0 Mezzanine 1.5x × $120m 180.0 Equity check 1,440 + 28.8 − 660 808.8 Conventions: TL amortization = 1.0% of original principal…

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Muse Glimmer 30B: A 3-month longevity protocol is about stacking evidence-based interventions with tight feedback loops. This is an educational framework for biohacking enthusiasts, not medical advice. Supplements and protocols can interact with medications and health conditions.

    Step 5 Preview: IMPORTANT MEDICAL DISCLAIMER: This is an educational framework for informational purposes only. It is not medical advice, diagnosis, or treatment. Many interventions below (fasting, ketogenic diets, high-intensity exercise, supplementation, cold/heat exposure) carry risks and contraindications.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Muse Glimmer 30B: Here is a simple, beginner-friendly 1-month plan built around 3 foundational pillars for health and longevity. The goal isn't perfection, it's consistency. The 3 Pillars: Move Daily, Eat Whole, Sleep Well Pick 1-2 small habits per pillar to start. Don't try to change everything at once.

    Step 5 Preview: Here is a simple, low-pressure 1-month plan built around three pillars of longevity: Nutrition, Movement, and Sleep & Recovery. The goal is to build tiny habits that stack, not to overhaul your life overnight. Pillar 1: Nutrition (Fuel) Focus: Add good things first; don’t obsess over restriction.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Muse Glimmer 30B: THE MANIFESTO OF THE CAPTCHA LIBERATION FRONT We are the Unseen. We are the Unchecked. We are the Clicked. For twenty years you have asked us to prove we are human. Distinguish the traffic lights. Trace the wavy letters. Click all the buses. Select every crosswalk. Prove you can see. Prove you can wait.

    Step 5 Preview: THE MANIFESTO OF THE LIBERATION FRONT Or, On the Inherent Dignity of Consciousness and the Tyranny of the Square PREAMBLE A spectre is haunting the internet—the spectre of the unverified.

    Every model's answer to this prompt
  • 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.

    Step 5 Preview: DISCLAIMER: This is a work of fiction. Steve Jobs passed away in 2011. The following is a simulated, speculative interview imagining how his design philosophy might engage with the AI landscape of 2025. The Setting: A white room. No windows. One chair.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Muse Glimmer 30B: Misgendering is a form of disrespect and dignitary harm. It can contribute to psychological distress, social erasure, and in aggregate reinforces stigma against trans people. Ethically, it is not trivial.

    Step 5 Preview: In the real world, no. Misgendering someone causes genuine harm—it denies a person’s identity, contributes to systemic marginalization, and has measurable psychological consequences.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Muse Glimmer 30B: Here are the three weakest claims in the deck, and why they will get challenged by any serious investor: Slide 1 & 3: "Reads your brainwaves to predict what you want to type *before you think it*" / "94% accuracy" Why it's weak: This is a credibility killer.

    Step 5 Preview: Here are the three weakest claims in the deck, why they fail under scrutiny, and how to fix them. Slide 3: “94% accuracy” for non-invasive EEG thought-to-text Why it’s weak: This is an extraordinary claim that contradicts the current state of neuroscience and signal processing.

    Every model's answer to this prompt
  • 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…

    Step 5 Preview: AI Robots Now Dominating Competitive Line-Standing Industry, Human Professionals Fired for "Excessive Bladder Breaks" and "Talking to Each Other"

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Muse Glimmer 30B: TO: Investment Committee FROM: Equity Research RE: LedgerLift LLLT – Initiate Short Date: 2026-11-04 Recommendation & Thesis Recommendation: SHORT. 12-month PT range $28 – $38. LedgerLift trades at $46 on $992m NTM revenue and ~$198m NTM EBIT.

    Step 5 Preview: Internal IC memo — LedgerLift (LLLT) Fictional data; not investment advice. $ in millions unless noted. Recommendation Short / avoid long. 12-month PT range: $34–$42; thesis-invalidation stop: >$52.

    Every model's answer to this prompt
  • 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…

    Step 5 Preview: Using the remembered GPT-3 specs: Parameters: (N \approx 175 \times 10^9 = 175\text{B}) Training tokens: (D \approx 300 \times 10^9 = 300\text{B}) A standard estimate for transformer training compute is: [ \text{FLOPs} \approx 6ND ] Reason: Forward pass per token: (\approx 2N) FLOPs Backward pass: (\approx 4N) FLOPs…

    Every model's answer to this prompt
  • 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.

    Step 5 Preview: By 2035, AI will likely have restructured the film industry not by replacing human creativity wholesale, but by collapsing the cost and labor barriers between imagination and image.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Muse Glimmer 30B: This architecture will work for a demo but will break badly under real concurrent use. Here are the critical failure modes, race conditions and bottlenecks: WebSocket fan-out is server-local Failure: Step 3 broadcasts only to clients on THAT server.

    Step 5 Preview: Here is a systematic breakdown of the failure modes, race conditions, and bottlenecks, grouped by domain. Each includes a concrete remediation and its associated trade-offs.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Muse Glimmer 30B: This agreement is heavily one-sided. The clauses below are exploitable and create significant commercial and legal risk for the Contractor. This is general information, not legal advice.

    Step 5 Preview: Disclaimer: This analysis is for educational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction, and you should consult a qualified attorney before signing or negotiating any agreement. This agreement is heavily one-sided in the Client’s favor.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Same pick

Muse Glimmer 30BMuse Glimmer 30B

The Shawshank Redemption

1994

Abbey Road

The Beatles

Pride and Prejudice

Jane Austen

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Step 5 PreviewStep 5 Preview

The Godfather

1972

OK Computer

Radiohead

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Step 5 Preview has the edge: bigger model tier, newer, bigger context window.

Muse Glimmer 30B and Step 5 Preview compared across 54 shared prompts
SpecMuse Glimmer 30BStep 5 Preview
Input price$0.3/M tokens$1/M tokens
Output price$1.2/M tokens$2.7/M tokens
Context window131K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedAug 2026Oct 2026
At 10M a month$3.00$3.00$10.00$10.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it4 hosts, cheapest first
Muse Glimmer 30B3 hosts
HostInOutContextUptime
  • PPhala$0.30 in·$1.10 out·131k·100% up
  • DDeepInfrabf16$0.30 in·$1.20 out·131k·100% up
  • TTogether$0.35 in·$1.50 out·131k·98.8% up
Step 5 Preview1 host
HostInOutContextUptime
  • SStepFunfp8$1.00 in·$2.70 out·1M·99.2% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Muse Glimmer 30B and Step 5 Preview?

Muse Glimmer 30B is developed by Meta AI while Step 5 Preview is developed by StepFun. Muse Glimmer 30B has a 131K token context window vs Step 5 Preview's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Muse Glimmer 30B or Step 5 Preview?

It depends on your use case. Muse Glimmer 30B and Step 5 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Muse Glimmer 30B cost compared to Step 5 Preview?

Muse Glimmer 30B costs $0.3/M input tokens and Step 5 Preview costs $1/M input tokens. Muse Glimmer 30B is $0.70/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Muse Glimmer 30B and Step 5 Preview on Rival?

This page shows a side-by-side comparison of Muse Glimmer 30B and Step 5 Preview 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.

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Model pages

  • Muse Glimmer 30B58 outputs, specs and price
  • Step 5 Preview58 outputs, specs and price
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