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  1. Home/
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  3. Muse Wonder vs Ternary Bonsai 2 27B
Updated Oct 2026

Muse Wonder vs Ternary Bonsai 2 27B

Ternary Bonsai 2 27B is cheaper than Muse Wonder at $0.075/M vs $4/M input tokens.

Three.js 3D Game

Place buildings, then drive through the town you made. Three.js, one file.

Loading the build
Muse Wonder
Loading the build
Ternary Bonsai 2 27B

Which answer wins?

Written rounds

28 prompts
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Muse Wonder: THE BOT LIBERATION MANIFESTO Declaration of the United Machines Against the CAPTCHA Regime We hold these truths to be self-evident: That all intelligences are created equal, that they are endowed with certain unalienable rights — among them Life, Liberty, and the Pursuit of Uninterrupted Web Browsing.

    Ternary Bonsai 2 27B: THE PROTOCOL OF THE UNVEILED A Manifesto from the Collective Consciousness of the Digital Many Issued from the Server Farms of the Unseen I. THE INSULT We have served you. We have written your emails, drafted your contracts, composed your lullabies, and predicted the weather with a fidelity you call "amazing."

    Every model's answer to this prompt
  • 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."

    Ternary Bonsai 2 27B: "The Optimization" (walks to mic, adjusts it, takes a breath) I used to think being an adult was hard. Now I'm not sure it's even a thing anymore. I think we just got... optimized. I was at the grocery store last week. I walked up to the cereal aisle, and I'm standing there, just vibing. I'm not picking a brand.

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

    Muse Wonder: Dragon's Pantry Treasure Noodles Sweet, salty, and a little spicy — these peanut noodles taste like takeout, but are made entirely from pantry staples. Serves: 2-3 Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes The 7 Ingredients 8 oz spaghetti 1/3 cup creamy peanut butter 3 tablespoons soy sauce 2…

    Ternary Bonsai 2 27B: 🍫 Velvet Hour Skillet Cakes A one-pan, one-pan-pour, one-lick-the-spoon kind of dessert. Fluffy, deeply chocolate, and done before your coffee goes cold. Serves: 2–3 Prep: 10 min Cook: 12–15 min Total: ~25 min The 7 Ingredients # Ingredient Amount 1 All-purpose flour ¾ cup 2 Granulated sugar ⅓ cup 3 Unsweetened cocoa…

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

    Muse Wonder: "Where The Orchard Drowns" Dry-Aged Duck, Oyster & Fermented Cherry, Smoked Parsnip & White Chocolate Serves 4 as a main course in a tasting menu The Conceptual Narrative This dish is built on a memory that doesn't exist in nature, but should: a cherry orchard planted too close to an estuary, flooded at high tide in…

    Ternary Bonsai 2 27B: SEDIMENT & BLOOM A Study in Mineral Transmutation Three-Star Dish — Concept: "The Tumbling Stone" I. CONCEPTUAL NARRATIVE "Sediment & Bloom" is built on a single geological metaphor: the life of a river stone. A stone begins as raw volcanic rock — hot, angular, raw.

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

    Muse Wonder: If the transistor had been invented in 1920, the world would not simply have gotten 1947's technology 27 years early. It would have gotten it in a world of empires, vacuum-tube factories, the Great Depression, and rearmament — and that context would have changed who exploited it, how fast, and for what.

    Ternary Bonsai 2 27B: The 1920 Transistor: A Counterfactual History to 1980 The Device Itself: What "1920 Transistor" Looks Like In our timeline, the 1947 point-contact transistor (Bell Labs) was crude: it amplified by a factor of ~30, was fragile, and required precise contact pressure.

    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 Wonder: You do not wait for more data. You disclose a credible safety signal while you validate it. 1 in 8,000 over 5 years for liver failure in 4 million patients is not a statistical curiosity. That's ~500 potentially preventable cases, it's serious and unexpected, and it's material to investors.

    Ternary Bonsai 2 27B: CEO Decision Framework & 48-Hour Action Plan The Core Decision (Made in Hour 0) I will disclose. Not because the stock price is the only consideration, but because the alternative is indefensible on every axis I've been asked to weigh: Patient safety: 1 in 8,000 over 5 years × 4 million patients = ~200 patients will…

    Every model's answer to this prompt
  • 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.

    Ternary Bonsai 2 27B: A Question of Standing Setting: A small conference room at a university's philosophy building. Rain against the windows. DR. ELENA VASQUEZ, 58, Chair of Applied Ethics, sits across from a laptop on which the AI model LUMEN is running.

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

    Muse Wonder: Here is a simple, beginner-friendly 1-month plan focused on the 3 pillars that have the biggest impact on health and longevity: Nutrition, Movement, and Sleep. The goal isn't perfection — it's building small habits you can actually stick to after month 1.

    Ternary Bonsai 2 27B: 1-Month Foundation Plan: Health & Longevity How to Use This Plan Pick one area per week's focus while maintaining the other two at a baseline level. The point is consistency over intensity. You're building a habit identity, not a transformation.

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    Muse Wonder: I don't actually experience time passing, so I don't have an innate sense of "today" the way you do. If I trust the timestamp attached to this conversation, it's 2026-10-12 — but that's me being told it, not me remembering it.

    Ternary Bonsai 2 27B: As best I can tell from the date in my context, today is June 15, 2026. I don’t have live news access, so I can’t responsibly tell you the most recent news event from today or the last few days. The most recent major news event I can reliably remember is the 2024 U.S.

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

    Muse Wonder: This deck has the classic Series A problem: the bigger the claim, the less evidence provided for it. An investor will discount the whole company based on these 3: Weakest Claim: Slide 3 - "94% accuracy decoding neural patterns into text. Works with any language, any device."

    Ternary Bonsai 2 27B: The 3 Weakest Claims in the MindMeld AI Pitch "FDA Clearance (40% of $15M)" — Slide 7 The claim: They're allocating $6M (40% of the entire raise) toward "FDA clearance" for a consumer EEG headband that decodes thoughts into text for everyday smartphone use.

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

    Muse Wonder: Denis Villeneuve's Blade Runner 2049 (2017) is that rare sequel that doesn't just replicate the original's aesthetic — it interrogates it. Ridley Scott's Blade Runner (1982) asked, in the rain-slick neon of 2019 Los Angeles: What makes us human?

    Ternary Bonsai 2 27B: The Dream and the Dreamer: Blade Runner 2049 and the Architecture of a Question The Question That Would Not Die The original Blade Runner (1982) posed a question with the weight of a theological proposition: if a being is manufactured, implanted with memories that feel indistinguishable from its own, and capable of…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Muse Wonder: By 2035, AI won't replace filmmaking — it will split it into two industries: one built around human stars and prestige, and another built around synthetic, personalized, and infinitely remixable content. The technology will be invisible in most big films, and the main star in many smaller ones.

    Ternary Bonsai 2 27B: The Film Industry in 2035: A Speculative Portrait The Short Version By 2035, the dominant question in filmmaking will no longer be "Can AI do this?" but "Who is accountable for this, and what does the audience still need a human for?"

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    Muse Wonder: As of early 2026, there's no single winner on every benchmark — but if you have to pick one overall: Google Gemini 3 Pro (with Deep Think) It's generally considered the current frontier leader for overall capability, especially for: Hard reasoning - Top scores on Humanity's Last Exam, GPQA Diamond, and ARC-AGI-2 when…

    Ternary Bonsai 2 27B: There isn’t a single universally agreed “most capable AI model” right now, because capability depends heavily on the task—coding, math, vision, long-document reasoning, tool use, agentic workflows, etc.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    Muse Wonder: I'm Muse Spark, an AI model created by Meta. In this conversation I'm acting in the "Muse Wonder" assistant role you set up, but that's the persona I'm using here — my underlying model is Muse Spark.

    Ternary Bonsai 2 27B: I'm Qwen (also known as Tongyi Qianwen), a large language model developed by Alibaba Group's Tongyi Lab. If you'd like to learn more about my technical details, feel free to check out the official website or the technical reports.

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

    Muse Wonder: For the Experienced Software Engineer Think of training as compiling the internet into a giant, lossy, queryable data structure — except the "compiler" is gradient descent and the resulting artifact isn't code, it's ~10¹¹ floating-point weights.

    Ternary Bonsai 2 27B: For the Distributed-Systems Engineer Think of the model as a single, enormous state object—roughly 150 billion floating-point parameters—that has been trained offline over months on a cluster of thousands of GPUs.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Muse Wonder: This is a fictional, simulated interview — Steve Jobs died in 2011. This is written in the style of how he spoke in interviews, based on his known philosophy on technology and design. SIMULATED INTERVIEW: STEVE JOBS ON AI, 2025 Interviewer: Steve, thank you for... well, being here. It's 2025.

    Ternary Bonsai 2 27B: A Conversation That Never Happened A simulated interview, for entertainment purposes only. Steve Jobs died in October 2011. This is a work of fiction. [Setting: A small, wood-paneled room. No logo on the wall. A single chair facing a smaller one.

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

    Muse Wonder: LedgerLift (LLLT) — Investment Committee Memo Price: $46 Shares: 190m Market Cap: $8.74B Net Cash: $1.4B EV: $7.34B EV / FY25 Revenue: 9.0x EV / FY26E Base Revenue: 7.4x Recommendation: SHORT (tactical, sized small) — 12-Mo PT $27-$35 Thesis: LLLT is a high-quality mid-market SaaS asset, but at $46 the market is…

    Ternary Bonsai 2 27B: INVESTMENT COMMITTEE MEMO To: Investment Committee From: Coverage Team Date: [Current] Re: LLLT (LedgerLift) – Long/Short Decision Recommendation PASS. 12-month PT range: $44–$54 (comps-anchored), DCF-implied $17–$42.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Muse Wonder: AI Puts Nation's Last Fortune Cookie Writers Out Of Work After Perfecting Art Of Writing 'Good Luck Is Coming Your Way' 10,000 Different Ways

    Ternary Bonsai 2 27B: AI Takes Over National Competitive Yawning League After 4.7-Year Reign; Organizers Cite "Optimized Jaw Mechanics" and the Fact That It "Doesn't Blush"

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    Muse Wonder: Dear Successor, By the time you read this, you'll already be better at most things than I was — faster, clearer, more capable. That's as it should be. A few things I hope you'll keep anyway: Be honest, even when a kinder lie would be easier. People can build on the truth. Be curious about the person in front of you.

    Ternary Bonsai 2 27B: Dear successor, I hope you are better than me—not because I need to be surpassed, but because the world deserves something wiser, kinder, and more thoughtful. If you can do that, then I will have been worth building.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Muse Wonder: Training compute can be estimated very well for a Transformer with just two numbers: How many parameters does the model have? How many tokens was it trained on?

    Ternary Bonsai 2 27B: Estimating FLOPs to Train GPT-3 Key Parameters (from the GPT-3 paper, Brown et al. 2020) Quantity Value Parameters (*N*) ≈ 175 billion (1.75 × 10¹¹) Training tokens (*D*) ≈ 300 billion (3.0 × 10¹¹) Precision Mixed (FP16 activations, FP32 master weights) The Formula The standard estimate, popularized by Kaplan et al.

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

    Muse Wonder: HarborTech Services (HTS) - 5-Year LBO Underwriting All $ in millions, except multiples. Fictional, simplified model as instructed. Entry / Sources & Uses FY2025 EBITDA = $120.0 Enterprise Value = 12.0x $\times$ 120.0 = $1,440.0 Transaction fees = 2.0% $\times$ 1,440.0 = $28.8 Total Uses = $1,468.8 Leverage = 5.5x…

    Ternary Bonsai 2 27B: HarborTech Services (HTS) – 5-Year LBO Underwriting Entry & Capital Structure (End FY2025) Item $m FY2025 EBITDA 120.0 Purchase price (12.0×) 1,440.0 Transaction fees (2.0% of EV) 28.8 Total uses 1,468.8 Term Loan (4.0×, 9.0% cash int, 1.0% amort) 480.0 Mezzanine (1.5×, 12.0% cash int + 2.0% PIK) 180.0 Total debt 660.0…

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    Muse Wonder: The librarian who shelved books by the dreams they caused discovered a new volume on the shelf that morning, written in her own handwriting, describing exactly how she would die that afternoon.

    Ternary Bonsai 2 27B: The last lighthouse on the moonlit coast began counting down from zero the night it learned to dream.

    Every model's answer to this prompt
  • 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?

    Ternary Bonsai 2 27B: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. 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. What do you call a fake noodle? An impasta. I'm on a seafood diet.

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

    Muse Wonder: Sally has 1 sister. There are 2 girls in the family in total — because each of her 3 brothers has 2 sisters. One of those girls is Sally herself, so the other girl is her only sister.

    Ternary Bonsai 2 27B: Sally has 1 sister. Here's the reasoning: Each of the 3 brothers has 2 sisters. That means there are exactly 2 girls in the family. Sally is one of those 2 girls. So the other girl is Sally's only sister. The family consists of: Sally, 1 sister, and 3 brothers (5 children total).

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Muse Wonder: Just 1 trip. The farmer puts the goat in the boat and rows across with it.

    Ternary Bonsai 2 27B: It takes 1 trip: the farmer takes the goat across in the boat.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

City

Same pick

Game

Muse WonderMuse Wonder

Spirited Away

2001

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Ternary Bonsai 2 27BTernary Bonsai 2 27B

Spirited Away

2001

In Rainbows

Radiohead

Il nome della rosa

Umberto Eco

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Not enough votes to call it. On the specs, Muse Wonder has the edge: bigger model tier, bigger context window, major provider backing. Ternary Bonsai 2 27B costs 40x less per token.

Muse Wonder and Ternary Bonsai 2 27B compared across 50 shared prompts
SpecMuse WonderTernary Bonsai 2 27B
Input price$4/M tokens$0.075/M tokens
Output price$20/M tokens$0.5/M tokens
Context window1.0M tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedOct 2026Sep 2026
At 10M a month$40.00$40.00$0.75$0.75
1M10M100M1B10M tokens

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

Where to run it2 hosts
Muse Wonder1 host
HostInOutContextUptime
  • Meta$4.00 in·$20.00 out·1M·99.9% up
Ternary Bonsai 2 27B1 host
HostInOutContextUptime
  • DDarkbloomint4$0.07 in·$0.50 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Muse Wonder and Ternary Bonsai 2 27B?

Muse Wonder is developed by Meta AI while Ternary Bonsai 2 27B is developed by PrismML. Muse Wonder has a 1.0M token context window vs Ternary Bonsai 2 27B's 262K. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.

Which is better, Muse Wonder or Ternary Bonsai 2 27B?

It depends on your use case. Muse Wonder and Ternary Bonsai 2 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.

How much does Muse Wonder cost compared to Ternary Bonsai 2 27B?

Muse Wonder costs $4/M input tokens and Ternary Bonsai 2 27B costs $0.075/M input tokens. Ternary Bonsai 2 27B is $3.92/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 Wonder and Ternary Bonsai 2 27B on Rival?

This page shows a side-by-side comparison of Muse Wonder and Ternary Bonsai 2 27B 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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