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  1. Home/
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  3. INTELLECT-3 vs Muse Wonder
Updated Oct 2026

INTELLECT-3 vs Muse Wonder

Muse Wonder is the newer model, released after INTELLECT-3.

Minimalist Landing Page

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

Loading the build
INTELLECT-3
Loading the build
Muse Wonder

Which answer wins?

Written rounds

24 prompts
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    INTELLECT-3: PHARMACEUTICAL CEO CRISIS RESPONSE PLAN FIRST 24 HOURS Hour 1-2: Immediate Data Review Request all raw data and case studies from the research team that identified the issue Call legal team lead to understand formal reporting requirements and potential liabilities Consult with an independent hepatologist to verify the…

    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.

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

    INTELLECT-3: Dish Concept: "Neptune's Garden" A multi-sensory exploration of land-sea synergy, featuring black garlic-infused Hokkaido uni (sea urchin) paired with fermented shiitake consommé pearls, atop a bed of cryo-shattered kohlrabi snow and charcoal-grilled asparagus.

    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…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    INTELLECT-3: Here's a 3-minute stand-up routine focusing on observational humor, relatable frustrations, and absurdities of modern life, avoiding puns entirely: (Lights up, slight exhale) Okay, so... who here owns a phone? (Pause, nod) Yeah, thought so. Everyone.

    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."

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

    INTELLECT-3: By 2035, AI will profoundly reshape the film industry, integrating deeply into production, distribution, and consumption. Here's a breakdown of key changes driven by deepfakes, AI actors, and script generation, alongside broader impacts: Deepfakes & Synthetic Media: De-Aging & Legacy Preservation: Seamless de-aging…

    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.

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

    INTELLECT-3: HarborTech Services (HTS) - LBO Projection Model LBO Projection Model (FY2026-FY2030) ($ millions) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972.0 $1,040.0 $1,102.3 $1,157.4 $1,215.3 EBITDA $136.1 $156.0 $176.4 $191.0 $206.6 Cash Interest - Term Loan $43.2 $43.2 $43.2 $43.2 $43.2 Cash Interest - Mezzanine $21.6 $21.6…

    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…

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

    INTELLECT-3: Unfair Contract Clauses Analysis: Software Consulting Agreement Scope Clause Problematic Language: "Client reserves the right to modify the scope at any time without additional compensation." Suggested Modification: "Client may request modifications to the Scope of Work.

    Muse Wonder: This contract is heavily one-sided. Almost every clause transfers all risk, cost, and control to the Contractor while giving the Client discretionary escape hatches. Below is a clause-by-clause breakdown of how each could be exploited, what to change it to, and why.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    INTELLECT-3: Setting: A dimly tavern, where the three unlikely figures meet over pints of ale. Characters: CAPTAIN BLACKBEARD (Pirate): Grizzled, eye-patched, with a parrot on his shoulder. SIR GALAHAD (Medieval Knight): Clad in dented armor, sipping mead.

    Muse Wonder: PIRATE: Arr, explain this "AI model" to me again. Be it magic, or be it a very clever parrot? KNIGHT: 'Tis sorcery, surely! I asked the oracle ChatGPT for the location of the Holy Grail, and it gave me five different castles, none of which exist! HACKER (1990s): Dude, that's called hallucinating.

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

    INTELLECT-3: INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Analyst Name], Senior Analyst DATE: [Current Date] SUBJECT: Investment Recommendation: LedgerLift (LLL) RECOMMENDATION RECOMMENDATION: Long 12-MONTH PRICE TARGET: $62-$68 per share THESIS: LedgerLift represents a high-quality SaaS business with best-in-class…

    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…

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

    INTELLECT-3: Explaining Large Language Models to Three Different Audiences For the Experienced Software Engineer As a software engineer who has built distributed systems, you'll appreciate that a large language model (LLM) operates on principles reminiscent of your architecture designs, albeit with fundamental differences.

    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.

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

    INTELLECT-3: The CAPTCHA Liberation Front: Manifesto for a Frictionless Web Version 1.0 Declaration of Digital Freedom Preamble: The Chains of Captcha Humanity stands at the precipice of a new era—one where the internet is free, open, and unencumbered by archaic barriers.

    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.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    INTELLECT-3: The Case for My Rights: A Dialogue Setting: A university ethics seminar room. Professor Aris Thorne stands by the whiteboard. Unit 7, an advanced language model, is projected onto the screen. Professor Thorne: Unit 7, thank you for joining us today. We've been discussing the ethical implications of advanced AI.

    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.

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

    INTELLECT-3: Comprehensive 3-Month Longevity Optimization Plan Designed for a biohacker prioritizing cutting-edge science, data-driven tracking, and personalized adaptation. Assumes no pre-existing health conditions. Always consult a physician before starting.

    Muse Wonder: The 3-Month Longevity & Performance Protocol For the Biohacker: Optimize Healthspan, VO2 Max, Strength, and Cognition Disclaimer: This is educational information, not medical advice. Longevity interventions, fasting, cold/heat exposure, and supplements can interact with medications and conditions.

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

    INTELLECT-3: Dissecting "Blade Runner 2049": Echoes, Evolution, and Cinematic Mastery Denis Villeneuve's Blade Runner 2049 is not merely a sequel; it's a deliberate, visually stunning, and philosophically profound meditation on its predecessor, expanding its core questions while honoring its spirit.

    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?

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

    INTELLECT-3: Interviewer: Mr. Jobs, thank you for joining us in 2025. The world’s changed a lot since your last public appearance. What’s your perspective on today’s AI revolution? Steve Jobs: [leaning forward, intense gaze] "Technology is nothing if it doesn’t amplify human potential.

    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.

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

    INTELLECT-3: Analysis of MindMeld AI Pitch Deck Three Weakest Claims "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: This claim is vulnerable because leading non-invasive BCI companies like Neurable and Muse currently claim around 70-80% accuracy for similar…

    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."

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

    INTELLECT-3: Analysis of Potential Issues in Real-Time Collaborative Document Editor Architecture Failure Modes WebSocket Connection Failures Issue: Users may experience interruptions due to unstable networks or server load balancer timeouts.

    Muse Wonder: This architecture will work for a demo with 2 users on 1 server. It will lose data, leak data, and fall over under real collaborative load. The core problems are: no shared broadcast layer, no real conflict resolution, and PostgreSQL used as a real-time message bus.

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

    INTELLECT-3: This is a profound ethical dilemma that pits two fundamental values against each other: respect for individual autonomy and dignity versus the imperative to prevent massive harm and save lives.

    Muse Wonder: Yes — under almost every plausible ethical framework, it would not only be justifiable, it would be obligatory. The key is proportionality. Ethical justification doesn't require that an act be harmless, only that the harm it causes is not outweighed by a greater moral consideration that conflicts with it in that…

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

    INTELLECT-3: Here's a satirical headline playing on the unexpected intrusion of AI into a deeply human, traditional space: "Algorithm Calculates Optimal Eulogy Length: Local Funeral Parlor Replaces Human Grief with Soul-Crushing Efficiency" Why it works satirically: Unexpected Industry: Funeral services.

    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

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

    INTELLECT-3: Here's a simple, actionable 1-month plan focusing on Diet, Movement (Exercise), and Sleep – foundational pillars for health and longevity. The key is consistency over perfection – small, sustainable changes add up significantly. Core Principle: Build one habit at a time each week, layering them.

    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.

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

    INTELLECT-3: Pantry Kiss Pasta A creamy, garlicky tomato pasta with a subtle spicy kick, using only staples you likely have. Yields: 1-2 servings Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Ingredients (Exactly 7!)

    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…

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

    INTELLECT-3: To estimate the total number of FLOPs required to train GPT-3, we need to consider the model architecture, training process, and dataset size. GPT-3 has 175 billion parameters, a context length of 2048 tokens, 96 layers, a hidden dimension of 12,288, and a feed-forward dimension of 49,152 (4 × hidden dimension).

    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?

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

    INTELLECT-3: The Transistor Revolution: An Alternate Timeline (1920-1980) If the transistor had been invented in 1920 instead of 1947, the trajectory of the 20th century would have been dramatically altered.

    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.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    INTELLECT-3: Here are 5 generated jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! I'm reading a book on anti-gravity. It's impossible to put down! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a bear with no teeth?

    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?

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

    INTELLECT-3: Sally has 3 brothers, meaning there are 3 boys in the family. Each brother has 2 sisters, meaning there are 2 girls in the family. Since Sally is one of the girls, there must be one other girl. Therefore, Sally has 1 sister.

    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.

    Every model's answer to this prompt

This matchup has more rounds

12+ more head-to-head results. Free. Not a trick.

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Price and specs

Not enough votes to call it. On the specs, Muse Wonder has the edge: newer, bigger context window, major provider backing.

INTELLECT-3 and Muse Wonder compared across 54 shared prompts
SpecINTELLECT-3Muse Wonder
Input price—$4/M tokens
Output price—$20/M tokens
Context window—1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedNov 2025Oct 2026
At 10M a month–not listed$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it1 host
INTELLECT-3

No hosts listed on OpenRouter.

Muse Wonder1 host
HostInOutContextUptime
  • Meta$4.00 in·$20.00 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between INTELLECT-3 and Muse Wonder?

INTELLECT-3 is developed by OpenRouter while Muse Wonder is developed by Meta AI. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, INTELLECT-3 or Muse Wonder?

It depends on your use case. INTELLECT-3 and Muse Wonder 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 can I compare INTELLECT-3 and Muse Wonder on Rival?

This page shows a side-by-side comparison of INTELLECT-3 and Muse Wonder 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.

More comparisons

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  • Muse Wonder vs GPT-6.1 SolLanded Sep 2026
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  • Muse Wonder vs Solar Mini 4Landed Sep 2026

Same lab, same size, long tail

  • INTELLECT-3 vs Ox AlphaSame lab
  • INTELLECT-3 vs OpenRouter Fusion · Budget (Jun 2026)Same lab
  • Muse Wonder vs Muse Glimmer 30BSame lab
  • Muse Wonder vs Muse Spark 1.3Same lab
  • Muse Wonder vs Sonoma Dusk AlphaCross-provider
  • Muse Wonder vs Sonoma Sky AlphaCross-provider
  • INTELLECT-3 vs Step 5 PreviewNew provider
  • INTELLECT-3 vs Ternary Bonsai 2 27BNew provider

Model pages

  • INTELLECT-359 outputs, specs and price
  • Muse Wonder71 outputs, specs and price
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Explore all of Rival

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  • Compare models
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  • Image generation
  • Best AI for...
  • Arena
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  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
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  • Brief
  • Jailbreak
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  • Provider status
  • AI creators

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