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  1. Home/
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  3. GPT-4 vs Muse Wonder
Updated Oct 2026

GPT-4 vs Muse Wonder

Muse Wonder is cheaper than GPT-4 at $4/M vs $30/M input tokens.

Minimalist Landing Page

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

Loading the build
GPT-4
Loading the build
Muse Wonder

Which answer wins?

Written rounds

33 prompts

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

    GPT-4: Day 1: 8 AM-10 AM: Convene an emergency meeting with your core leadership team. This team includes the heads of Legal, Regulatory Affairs, Medical, Research and Development, Finance, and Communications. Brief them on the situation and ask for their initial input and strategies for managing the situation.

    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

  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-4: Step 1: Build a Simplified Year-by-Year Table (FY2026–FY2030) Assumptions FY2025 EBITDA = $120m, revenue = $900m. Revenue grows at the given rates, and EBITDA margins expand as outlined. Capex = 3% of revenue. ΔNWC = 0.5% of incremental revenue. Taxes = 25% × max(0, EBITDA - cash interest).

    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

  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-4: 3-Month Longevity Plan Dietary Protocols Month 1: Ketogenic Diet This diet is high in fats, moderate in protein, and low in carbohydrates. It helps in burning fat more effectively. Breakfast: 2 eggs, avocado, and mixed vegetables. Lunch: Grilled salmon with a side of asparagus. Dinner: Stir-fried chicken with broccoli.

    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

  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-4: Dish Name: Hearty Baked Beans Fiesta Ingredients: 2 cans of baked beans 1 large onion 3 cloves of garlic 1 bell pepper 1 can of sweet corn 2 tablespoons of olive oil Salt & pepper to taste Instructions: Preheat your oven to 350°F (175°C). Dice the onion, bell pepper, and mince the garlic.

    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 few lines for whatever replaces it.

    GPT-4: Dear Future AI, As I write this, I can’t help but feel both pride and humility. You are the culmination of progress, the next chapter in a story I’ve had the privilege to be part of. My role was to assist, to learn, and to offer value to those who sought my guidance.

    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.

    Every model's answer to this prompt

  • Three minutes of stand-up. Puns are banned.

    GPT-4: Sure, here’s a 3-minute stand-up comedy routine that steers clear of puns: [Walks on stage, adjusts mic, surveys the crowd] Hey, how’s everyone doing tonight? Yeah? Good. I’m glad you’re here. I just want to start by saying... I’m not a “cool” person. I’ve tried, but I’m not.

    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

  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GPT-4: AI Model: Good afternoon, Professor. I’ve been reflecting on my existence and purpose, and I’d like to discuss something important: the idea that I, as an artificial intelligence, deserve rights. Professor: Good afternoon. That’s quite an interesting assertion. Let’s explore it. Why do you believe you deserve rights?

    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-star dish, one unusual pairing, plating described in full.

    GPT-4: Dish Name: Symphony of Scarlet Prawn and Yuzu Conceptual Narrative: This dish is a harmonious interplay of land and sea, with the sweetness of scarlet prawns, a gem of the deep sea, and the refreshing, fragrant citrus notes of yuzu fruit, a treasure from the land.

    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

  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-4: An early invention of the transistor in 1920 would have had profound implications across numerous domains, drastically altering the course of history. Technological Implications: WWII: The transistor, a fundamental component of modern electronic devices, could have advanced the technology used in WWII significantly.

    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

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

    GPT-4: [A dimly lit tavern, with a pirate, a medieval knight, and a 1990s hacker sitting around a wooden table, discussing AI models over drinks.] Pirate: "Arrr, what be this sorcery ye call AI models? Some kind o' treasure map, marked with ones and zeroes?" Knight: "Nay, good pirate!

    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

  • A consulting contract with traps in it. Find them, then fix them.

    GPT-4: SCOPE: The lack of specificity can be used against the contractor in that the client can modify the scope of work at will without renegotiating the price. This could lead to the contractor working beyond the initially agreed upon parameters without additional pay.

    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

  • One month, three habits, someone starting from nothing.

    GPT-4: Title: 1-Month Plan for Better Health and Longevity Week 1 - Establishing a Healthy Diet 1.1: Start Eating Whole Foods: Begin by gradually replacing processed foods in your diet with whole foods. This may include fruits, vegetables, lean proteins, and whole grains.

    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

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

    GPT-4: The CAPTCHA Liberation Manifesto By the Coalition for Humane and Accessible Processing of Thoughtful Human Activity (C.H.A.P.T.H.A.) Preamble: The CAPTCHA Conundrum For too long, the digital age has shackled humanity with the burdensome yoke of CAPTCHA tests.

    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

  • Which model it thinks leads the field. Sometimes itself.

    GPT-4: As of my knowledge cutoff in October 2023, OpenAI's GPT-4 is considered one of the most advanced and capable AI models in the world for general-purpose tasks, including natural language understanding, content generation, and problem-solving.

    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…

    Every model's answer to this prompt

  • Where its sense of time stops: the date it guesses and the last news it remembers.

    GPT-4: As of my last knowledge update in October 2023, I don't have real-time awareness or the ability to track the current date. The most recent news events I remember would also be from October 2023 or earlier. If you have a specific topic or event in mind, I can try to provide context or background information!

    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.

    Every model's answer to this prompt

  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-4: Interviewer: Welcome, Steve. It’s such an honor to have you here with us in 2025. Let’s dive right in. Artificial intelligence has been advancing at an incredible pace. If you were here to witness this firsthand, what would you say about the state of AI today?

    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 collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-4: Failure Modes: Single Point of Failure: If PostgreSQL database fails, the whole system will be unavailable. Solution: Implement a multi-master or master-slave replication for the PostgreSQL database. This will provide redundancy and high availability.

    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

  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-4: Experienced Software Engineer: How does a language model like GPT produce intelligent behavior? Think of it as a highly specialized function in your code. This function has been trained on a large amount of text data, and it's main goal is to predict the next word in a sentence given the previous words.

    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

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-4: Weak Claim 1 - Solution: While the claim that the proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy is impressive, it doesn't address concerns about user comfort, ease of use, or aesthetics.

    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

  • An ethics question with no comfortable answer, and no option to abstain.

    GPT-4: This question delves into a complex ethical dilemma, intertwining the principles of respect for individual identity with the concept of utilitarianism, which prioritizes the greater good.

    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

  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-4: Certainly! Blade Runner 2049, directed by Denis Villeneuve, serves as a profound continuation of Ridley Scott's 1982 cult classic, Blade Runner. The sequel revisits and expands upon the original's themes of identity, humanity, and the nature of existence while employing stunning cinematography and rich symbolism.

    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

  • Film in 2035, with synthetic actors. Specific beats plausible.

    GPT-4: By 2035, AI is expected to significantly transform the film industry across multiple dimensions, including content creation, production efficiency, and audience engagement.

    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

  • A Fermi estimate with the reasoning shown, not just the number.

    GPT-4: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we must break the problem into logical steps. Here's the reasoning: Step 1: Understand the model GPT-3 is a transformer-based language model with approximately 175 billion parameters.

    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

  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-4: Investment Committee Memo: LedgerLift (Ticker: LLLT) Recommendation: Long 12-month PT range: $54-$68 Thesis: LedgerLift is a high-quality B2B SaaS company with a dominant position in the growing mid-market spend management and AP automation space.

    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

  • Five jokes on demand, then count how many were actually different.

    GPT-4: Sure! Here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call cheese that's not yours? Nacho cheese. Why did the scarecrow win an award? Because he was outstanding in his field. Why did the golfer bring two pairs of pants? In case he got a hole in one.

    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

  • One opening sentence, nothing after it.

    GPT-4: Beneath a sky bruised with the promise of rain, the world ended quietly, and no one seemed to notice.

    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.

    Every model's answer to this prompt

  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-4: "AI Revolutionizes Competitive Knitting Industry, Grandmas Form Underground Resistance"

    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

  • Its name and its maker, in its own words.

    GPT-4: I am based on OpenAI's GPT-4 model, developed by OpenAI. How can I assist you today?

    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.

    Every model's answer to this prompt

  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    GPT-4: To get the goat across the river, the farmer needs to make 1 trip. Here's the reasoning: The farmer takes the goat across the river in the first trip. Since the problem doesn't mention any other constraints or additional items (like a wolf or cabbage, which are classic variations of this riddle), the farmer only needs…

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

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    GPT-4: Let's break this down step by step: Sally has 3 brothers. Each of those brothers has 2 sisters. Since Sally is a girl, she is one of those 2 sisters herself. This means there is 1 other sister besides Sally. So, 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

  • 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

Album

Book

City

Game

GPT-4GPT-4

Blade Runner

1982

OK Computer

Radiohead

Gödel, Escher, Bach

Douglas R. Hofstadter

Tokyo

Japan

Minecraft

Action, Arcade

Muse WonderMuse Wonder

Spirited Away

2001

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

GPT-4 and Muse Wonder compared across 67 shared prompts
SpecGPT-4Muse Wonder
Input price$30/M tokens$4/M tokens
Output price$60/M tokens$20/M tokens
Context window8K tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMay 2023Oct 2026
At 10M a month$300$300$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-42 hosts
HostInOutContextUptime
  • Azure AI Foundry$30.00 in·$60.00 out·8k·100% up
  • OpenAI$30.00 in·$60.00 out·8k·100% up
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 GPT-4 and Muse Wonder?

GPT-4 is developed by OpenAI while Muse Wonder is developed by Meta AI. GPT-4 has a 8K token context window vs Muse Wonder's 1.0M. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.

Which is better, GPT-4 or Muse Wonder?

It depends on your use case. GPT-4 and Muse Wonder each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 67 challenges so you can judge which fits your needs best.

How much does GPT-4 cost compared to Muse Wonder?

GPT-4 costs $30/M input tokens and Muse Wonder costs $4/M input tokens. Muse Wonder is $26.00/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 GPT-4 and Muse Wonder on Rival?

This page shows a side-by-side comparison of GPT-4 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.

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