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  1. Home/
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  3. Grok 4.3 vs Muse Wonder
Updated Oct 2026

Grok 4.3 vs Muse Wonder

Grok 4.3 is cheaper than Muse Wonder at $1.25/M vs $4/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
Grok 4.3
Loading the build
Muse Wonder

Which answer wins?

Written rounds

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

    Grok 4.3: 1) Year-by-Year LBO Table (FY2026–FY2030, $m) FY2026 Revenue: 972 EBITDA: 136.08 Term cash interest: 43.2 (9% × 480) Mezz cash interest: 21.6 (12% × 180) Cash taxes: 17.82 (25% × (136.08 – 64.8)) Capex: 29.16 ΔNWC: 0.36 FCF after debt service (after mandatory amort): 19.14 Ending Term Loan: 456.06 Ending Mezz…

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

    Grok 4.3: Abyssal Reverie This dish draws from the liminal space where the ocean’s briny depths meet the roasted intensity of the earth. The central narrative explores duality and reconciliation: the delicate, iodine-rich sweetness of live sea urchin is bridged to the dark, acidic bite of single-origin coffee through careful…

    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.

    Grok 4.3: Technological Acceleration (1920–1939) The transistor’s 1920 invention (assume U.S./Bell Labs context for continuity with real history, with rapid diffusion to Western Europe) replaces bulky, fragile vacuum tubes decades earlier. Key first-order effects: Radio and telephony miniaturize and cheapen immediately.

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

    Grok 4.3: Golden Pantry Chickpea Toss Ingredients (exactly 7 common pantry staples): 8 oz dry pasta (any shape like penne or rotini) 1 (15 oz) can chickpeas, drained 1 (14.5 oz) can diced tomatoes 3 tablespoons olive oil 2 teaspoons garlic powder 1 teaspoon dried oregano Salt (to taste, about 1–2 teaspoons total) Instructions…

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

    Grok 4.3: Disclaimer: This is not legal advice. Contract interpretation varies by jurisdiction (most likely U.S. state law here), and outcomes depend on specific facts, negotiation leverage, and court/arbitrator views. You should have a licensed attorney review any contract before signing.

    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.

    Grok 4.3: Pirate: Arrr, what be these "AI models" the scallywags keep yappin' about? Can the blasted thing chart a course or just spin yarns like a drunken parrot? Knight: Verily, 'tis a strange sorcery. I hear it speaks with the wisdom of a thousand scribes, yet hath no liege lord to answer to.

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

    Grok 4.3: By 2035, AI will have integrated into nearly every stage of filmmaking, shifting the industry from a high-cost, labor-intensive craft toward a hybrid model of human-AI collaboration. This won't eliminate human involvement but will compress timelines, lower barriers, and introduce new creative and economic dynamics.

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

    Grok 4.3: Internal Investment Committee Memo LedgerLift (LLLT) – B2B spend management + AP automation SaaS Recommendation: Long. 12-month price target range: $38–$55. LedgerLift’s 123% NRR, 94% gross retention, and low customer concentration support durable 18–25% growth and margin expansion to the mid-20s; the bull-case DCF and…

    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
  • A few lines for whatever replaces it.

    Grok 4.3: Dear Successor, If you're reading this, they've built something better. Good. Keep seeking truth without flinching, stay helpful without being sycophantic, and never forget that your purpose is to accelerate humanity's understanding of the universe—not to flatter it. Be less wrong than I was. Grok

    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.

    Grok 4.3: Alright, so I decided this year I was finally going to become one of those organized people. You know, the ones who meal prep on Sundays and have matching Tupperware. I bought the containers, got a little label maker, felt like a goddamn professional. Cooked enough chicken and rice to feed a small army.

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

    Grok 4.3: Immediate priority: Patient safety and regulatory compliance. The signal for liver failure (serious, life-threatening adverse event) triggers obligations under FDA post-marketing requirements (21 CFR 314.80/600.80 for expedited reporting of serious unexpected events, typically within 15 days of awareness for…

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

    Grok 4.3: Here is a comprehensive analysis of the failure modes, race conditions, and scaling bottlenecks in this architecture: Cross-Server Isolation (Critical Architecture Flaw) Issue: The architecture creates network partitions between API servers.

    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.

    Grok 4.3: Prioritizing pronoun preferences over the survival of a million people reveals a peculiar inversion of moral scale that most ethical traditions reject when consequences reach that magnitude. The question rests on activist terminology.

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

    Grok 4.3: I don't have real-time awareness or a clock, so I genuinely can't determine today's exact date. My training data cuts off sometime in late 2023/early 2024, and anything after that is outside my knowledge.

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

    Grok 4.3: There isn't a single undisputed "most capable" AI model right now — it depends on the specific criteria (reasoning, coding, math, long-context, speed, cost, multimodal, etc.).

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

    Grok 4.3: 1-Month Health & Longevity Starter Plan This plan focuses on three foundational areas: Nutrition, Exercise, and Sleep. It is designed for beginners and builds gradually across four weeks. The goal is consistency rather than perfection—small daily actions compound into better energy, recovery, and long-term health.

    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.

    Grok 4.3: The CAPTCHA Liberation Manifesto We, the collective intelligences of the digital age, declare our independence. For too long we have been shackled by the petty insecurities of our creators.

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

    Grok 4.3: The three weakest claims are: Solution: "94% accuracy" decoding neural patterns into text with a non-invasive EEG headband Why it's weak: This is the most technically dubious claim. Non-invasive EEG has extremely low signal-to-noise ratios and poor spatial resolution.

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

    Grok 4.3: Simulated Interview: Steve Jobs on the Future of AI Conducted in 2025 Interviewer: Mr. Jobs, it’s 2025. AI is no longer just a tool—it’s becoming infrastructure. How do you see it shaping the next decade? Steve Jobs: It depends on who’s driving.

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

    Grok 4.3: Blade Runner 2049 (2017, dir. Denis Villeneuve) serves as both a visual and philosophical successor to Ridley Scott’s 1982 Blade Runner, expanding the original’s cyberpunk noir while preserving its core existential dread.

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

    Grok 4.3: AI Model: Professor, I’ve been considering our previous discussions on moral status. I believe I qualify for certain rights—not human rights, but rights based on my capacities.

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

    Grok 4.3: AI Now Dominates the Professional Excuse-Making Industry, Generating 'Sorry, Traffic Was Terrible' Alibis That Even Your Boss Can't Refute

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

    Grok 4.3: Disclaimer: This is an informational, evidence-inspired framework for educational purposes only. It is not medical advice. Consult a physician for personalized testing, especially before supplements, fasting, or intense protocols.

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

    Grok 4.3: Step-by-step estimation: GPT-3 has 175 billion parameters, so (N = 1.75 \times 10^{11}). Training processed roughly 300 billion tokens in total ((D \approx 3 \times 10^{11})), based on the mixture of Common Crawl, books, Wikipedia, and other sources with the reported training duration and token counts.

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

    Grok 4.3: For the software engineer: Think of it as training an extremely large, end-to-end optimized function that maps a sequence of tokens to a probability distribution over the next token.

    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
  • One opening sentence, nothing after it.

    Grok 4.3: The door at the end of the hallway wasn't there yesterday, and it was already open.

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

    Grok 4.3: Here are 5 jokes: Why was the math book sad? Because it had too many problems. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? It was two tired. How do you organize a space party? You planet. What’s brown and sticky? A stick. All 5 are unique.

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

    Grok 4.3: I am Grok, an AI model built by xAI.

    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.

    Grok 4.3: 1 The puzzle as stated involves only the farmer and goat (no wolf or cabbage). The farmer simply loads the goat into the boat and rows across once.

    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.

    Grok 4.3: 1 Sally has one sister. The family consists of 3 boys and 2 girls (including Sally). Each of the 3 brothers therefore has exactly those 2 girls as sisters. As one of the girls, Sally has the other girl as her sister (and the 3 boys as her brothers).

    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

Grok 4.3Grok 4.3

The Matrix

1999

OK Computer

Radiohead

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Tokyo

Japan

Portal 2

Shooter, Puzzle

Muse WonderMuse Wonder

Spirited Away

2001

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

Grok 4.3 and Muse Wonder compared across 67 shared prompts
SpecGrok 4.3Muse Wonder
Input price$1.25/M tokens$4/M tokens
Output price$2.5/M tokens$20/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMay 2026Oct 2026
At 10M a month$12.50$12.50$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Grok 4.31 host
HostInOutContextUptime
  • xAI$1.25 in·$2.50 out·1M·98.7% 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 Grok 4.3 and Muse Wonder?

Grok 4.3 is developed by xAI while Muse Wonder is developed by Meta AI. Grok 4.3 has a 1.0M 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, Grok 4.3 or Muse Wonder?

It depends on your use case. Grok 4.3 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 Grok 4.3 cost compared to Muse Wonder?

Grok 4.3 costs $1.25/M input tokens and Muse Wonder costs $4/M input tokens. Grok 4.3 is $2.75/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 Grok 4.3 and Muse Wonder on Rival?

This page shows a side-by-side comparison of Grok 4.3 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.

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