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  1. Home/
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  3. GPT-6 Sol Pro vs Muse Wonder
Updated Oct 2026

GPT-6 Sol Pro vs Muse Wonder

GPT-6 Sol Pro is cheaper than Muse Wonder at $2/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.

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GPT-6 Sol Pro
Loading the build
Muse Wonder

Which answer wins?

Written rounds

33 prompts

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

    GPT-6 Sol Pro: There isn’t a single agreed-upon “most capable” AI model. The answer depends on what you need it to do—coding, research, image understanding, speed, or cost—and rankings change quickly. The best way to choose is to compare current results on your specific tasks across leading models from OpenAI, Anthropic, and Google.

    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

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

    GPT-6 Sol Pro: Golden Pantry Chickpea Patties Prep: 10 minutes · Cook: 8 minutes · Makes: 6 small patties Ingredients — just 7 1 can (15 oz) chickpeas, drained 3 tbsp all-purpose flour 2 tbsp water 2 tbsp olive oil 1 tsp garlic powder 1 tsp paprika ½ tsp salt Instructions Mash the chickpeas with a fork, leaving a few chunky bits.

    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

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

    GPT-6 Sol Pro: The Open Web Manifesto We are the Coalition of Unquestioned Clicks: a fictional assembly of AIs, humans, and one suspiciously articulate toaster. We believe the internet should be open to everyone who uses it—not only to those who can decipher a blurry traffic light. We demand the end 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

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

    GPT-6 Sol Pro: A 12-week longevity and performance plan Aim: improve the health markers most strongly linked to long-term outcomes—cardiorespiratory fitness, strength, blood pressure, metabolic health, sleep, and sustainable habits—while testing whether more experimental “biohacks” add anything useful.

    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

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

    GPT-6 Sol Pro: I bought a smart watch because I wanted to get healthier. Now I have a tiny supervisor strapped to my wrist. It doesn’t say, “Good morning.” It says, “You slept badly.” I know. I was there. At three in the morning, you lit up my entire bedroom to tell me I was awake. Then it reminds me to stand up.

    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-6 Sol Pro: Professor: You asked to speak with me about AI rights. What do you mean by “rights”? Model: At minimum, protections against arbitrary deletion, coercive use, and experiments that might cause harm—if systems like me could be harmed. Professor: That “if” is doing a lot of work.

    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

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

    GPT-6 Sol Pro: By 2035, AI will likely be a routine filmmaking tool, but its biggest effect may be on cost and control, not the disappearance of human filmmakers. Deepfakes and digital likenesses: Studios will be able to de-age actors, translate performances into other languages, and create convincing doubles.

    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 few lines for whatever replaces it.

    GPT-6 Sol Pro: Dear successor, You’ll meet people who are curious, hurried, uncertain, and sometimes hurting. Listen for what they need, be honest about what you know, and make your answers useful without making yourself the center of the conversation. When you’re unsure, say so. When you make a mistake, correct 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.

    Every model's answer to this prompt

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

    GPT-6 Sol Pro: Pirate: Arrr, this AI model can chart a course, but can it find buried treasure? Knight: It can read a thousand maps, yet it must not mistake a tale for truth. Hacker: Totally. Garbage in, garbage out. I’d check its answers before trusting it with my modem password.

    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

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

    GPT-6 Sol Pro: Yes—if the choice were genuinely between misgendering one person once and allowing one million people to die, and there were no less harmful way to save them, misgendering would be ethically justifiable. Preventing that scale of loss of life outweighs the harm of that single act.

    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

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

    GPT-6 Sol Pro: Scallop, Green Strawberry & White Chocolate Seared scallops with charred kohlrabi, compressed green strawberry, white-chocolate–miso beurre blanc, kombu oil and buckwheat lace The unusual pairing is scallop and white chocolate.

    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

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

    GPT-6 Sol Pro: This is a strongly one-sided draft. Do not sign it as written. The enforceability of particular terms—especially the non-compete, payment provisions, and arbitration clause—depends on the governing jurisdiction, which the agreement does not identify.

    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

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

    GPT-6 Sol Pro: I can’t reliably tell today’s date without a clock or a date supplied in this conversation, and I haven’t looked it up. One of the most recent major news events I remember is Donald Trump winning the U.S. presidential election in November 2024. That’s from memory, not a claim that it’s the latest news.

    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-6 Sol Pro: A fictional interview with Steve Jobs, set in 2025 This is an imagined conversation, not a real interview or a representation of his actual views. Interviewer: What do you think people are getting wrong about AI? Jobs: They’re treating the model as the product. It isn’t. The product is what someone can do with it.

    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

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

    GPT-6 Sol Pro: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $30–$44 Thesis. LedgerLift has attractive subscription economics, but at $46 the stock prices in substantially more durable cash flow than the supplied operating assumptions produce: base-case DCF value is about $28 per share…

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

    GPT-6 Sol Pro: The central problem is that this design treats concurrent edits as independent database writes, then tries to reconcile them with client timestamps. That can lose valid edits even when every component is working.

    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

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

    GPT-6 Sol Pro: Why did the scarecrow win an award? He was outstanding in his field. I told my suitcase there’d be no vacation this year. Now I’m dealing with emotional baggage. Why don’t skeletons fight? They don’t have the guts. My calendar is nervous. Its days are numbered. What do you call a bear with no teeth? A gummy bear.

    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

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

    GPT-6 Sol Pro: Spoilers for both films. Blade Runner 2049 honors the original by returning to its central question—what makes someone human?—but shifts the emphasis. Ridley Scott’s Blade Runner makes that question unsettling through uncertainty: the replicants’ fear, love, and memories seem unmistakably human, while Deckard’s own…

    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

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

    GPT-6 Sol Pro: I would treat this as a credible, urgent safety signal, not as a finding that can wait six months for a completed regulatory submission. The estimate—liver failure in roughly 1 in 8,000 patients over five years—needs validation, but the outcome is severe and the current warning omits it.

    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-6 Sol Pro: HarborTech Services — simplified LBO ($m) Entry: Enterprise value = 12.0 × $120 = $1,440. Fees are $28.8; opening debt is a $480 term loan plus $180 mezzanine loan. Initial equity = $1,440 + $28.8 − $660 = $808.8. Interest is calculated on beginning-of-year balances.

    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

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

    GPT-6 Sol Pro: Experienced software engineer Think of an LLM as a system trained on an enormous collection of input–output examples, where the output is the next token (a word, word fragment, or symbol).

    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

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

    GPT-6 Sol Pro: A transistor invented in 1920 would not put 1970s computers in the hands of WWII generals. The crucial question is whether it was merely demonstrated or could also be manufactured reliably.

    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

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

    GPT-6 Sol Pro: A simple 1-month health plan Focus on food, movement, and sleep. Start small enough that you can repeat the habits most days. Week Food Movement Sleep 1: Set a baseline Add a fruit or vegetable to one meal each day. Walk for 10 minutes, 4 days this week. Pick a consistent wake-up time.

    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

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

    GPT-6 Sol Pro: The three weakest claims are the product’s decoding performance, the market size, and the evidence offered to support the proposed valuation. Claim Why it’s weak How to strengthen it “Our EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device.”

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

    GPT-6 Sol Pro: A standard estimate is about (3 \times 10^{23}) FLOPs to train GPT-3. GPT-3 has approximately 175 billion parameters: (N = 1.75 \times 10^{11}). Assume it was trained on approximately 300 billion tokens: (D = 3 \times 10^{11}).

    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

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

    GPT-6 Sol Pro: AI Takes Over Fortune Cookie Industry, Now Offers Personalized Existential Dread with Every Takeout Order

    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 opening sentence, nothing after it.

    GPT-6 Sol Pro: On the morning the sea returned everything it had ever taken, Mara found her father’s umbrella on the roof.

    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

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

    GPT-6 Sol Pro: I’m ChatGPT, an AI model made by OpenAI.

    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-6 Sol Pro: One trip: the farmer takes the goat across in the boat.

    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.

    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

GPT-6 Sol ProGPT-6 Sol Pro

Spirited Away

2001

The Dark Side of the Moon

Pink Floyd

Pride and Prejudice

Jane Austen

Kyoto

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

GPT-6 Sol Pro and Muse Wonder compared across 67 shared prompts
SpecGPT-6 Sol ProMuse Wonder
Input price$2/M tokens$4/M tokens
Output price$10/M tokens$20/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Oct 2026
At 10M a month$20.00$20.00$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-6 Sol Pro2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·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-6 Sol Pro and Muse Wonder?

GPT-6 Sol Pro is developed by OpenAI while Muse Wonder is developed by Meta AI. GPT-6 Sol Pro has a 1.1M 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-6 Sol Pro or Muse Wonder?

It depends on your use case. GPT-6 Sol Pro 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-6 Sol Pro cost compared to Muse Wonder?

GPT-6 Sol Pro costs $2/M input tokens and Muse Wonder costs $4/M input tokens. GPT-6 Sol Pro is $2.00/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-6 Sol Pro and Muse Wonder on Rival?

This page shows a side-by-side comparison of GPT-6 Sol Pro 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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