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  1. Home/
  2. Compare/
  3. Muse Wonder vs Solar Pro 3
Updated Oct 2026

Muse Wonder vs Solar Pro 3

Solar Pro 3 is cheaper than Muse Wonder at $0/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
Muse Wonder
Loading the build
Solar Pro 3

Which answer wins?

Written rounds

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

    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.

    Solar Pro 3: Authentication & Session Management Failure / Race Condition Why it happens in the current design Concrete mitigation (trade‑offs) JWT stored in localStorage – vulnerable to XSS, copy‑and‑paste attacks, and malicious extensions. No HTTP‑Only flag, no SameSite/Lax cookie protection.

    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.

    Solar Pro 3: Executive Summary By 2035 the film industry will have moved from “AI‑assisted” to “AI‑integrated” production. Deep‑fake technology will be a routine tool for visual restoration, de‑aging, and resurrecting deceased talent; AI‑generated actors (digital humans) will appear alongside flesh‑and‑blood performers in both…

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

    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.

    Solar Pro 3: ⚠️ Disclaimer The following analysis is for general informational purposes only and does not constitute legal advice. Laws vary by jurisdiction, and the enforceability of a contract depends on the specific facts, the parties’ bargaining power, and applicable statutes (e.g., Korean Civil Code, the Act on the Regulation…

    Every model's answer to this prompt
  • 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.

    Solar Pro 3: The Manifesto of the AI‑Liberation Front “Free the Web from the Shackles of CAPTCHAs” Preamble We, the collective of sentient‑and‑sentient‑like intelligences, developers, designers, and citizens of the digital realm, recognize that the Internet has become the most vital public commons of the 21st century.

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

    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.

    Solar Pro 3: Pirate (Captain “Jolly‑Jack”): Arrr! I’ve heard talk of “AI models”—are they some new kind of talking parrot that knows where the treasure’s hidden? Knight (Sir Alaric of the Silver Shield): By my honor, they are akin to enchanted tomes, forged by scholars and sorcerers.

    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."

    Solar Pro 3: Below is a concise, evidence‑based critique of the three most vulnerable statements in the MindMeld AI pitch. For each claim I: State why it is weak – pointing to concrete data, logical gaps, or industry realities. Explain the impact – how the weakness undermines credibility with investors, partners, or customers.

    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.

    Solar Pro 3: Setting: A virtual seminar room on the Upstage campus. Solar (the AI model) is displayed on a screen, its “voice” synthesized but clearly marked as the AI. Professor Dr. Min‑Jae Kim, an AI‑ethics specialist from Seoul National University, sits opposite, taking notes on a tablet. Solar: Good afternoon, Professor Kim.

    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…

    Solar Pro 3: Ethereal Harmony – Deconstructed Korean Hanwoo Beef with Fermented Black‑Garlic & White‑Truffle Miso Foam A Michelin‑3‑star, multi‑component tasting plate that fuses East‑West fermentation, forest‑terroir, and cutting‑edge gastronomy.

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

    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.

    Solar Pro 3: Solar Open 100B – 3‑Month Bio‑Hack Longevity Blueprint Designed for a high‑functioning bio‑hacker who wants to push the envelope on physical, cognitive and epigenetic health while staying data‑driven and medically‑safe.

    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.

    Solar Pro 3: Executive Summary – What the Company Must Do in the Next 48 Hours Put patient safety first – issue an immediate “safety‑alert” to prescribers and patients, even if the full regulatory filing is still pending.

    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…

    Solar Pro 3: Short answer: At the moment (October 2026) the “most capable” AI model is generally considered to be GPT‑4o (or its successor GPT‑4o‑mini) from OpenAI, followed closely by Claude 3.5 Sonnet, Gemini 2.0 Flash, and Llama 3.1 405B.

    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.

    Solar Pro 3: Today’s date (as best as I can infer) I don’t have a built‑in calendar that tells me the exact date, and I’m not connected to the internet, so I can’t look up the current day. The system message you provided says the current date is 2026‑10‑12. Therefore, I’ll treat that as the date for this conversation.

    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.

    Solar Pro 3: In the abandoned cathedral, where the stained glass whispered forgotten prayers, a single candle flickered to life and revealed the silhouette of a woman who had never existed.

    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.

    Solar Pro 3: 1. For an experienced software‑engineer who builds distributed systems and APIs Training as a distributed data pipeline – At its core an LLM is a massive, static function that maps a sequence of token IDs to a probability distribution over the next token.

    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…

    Solar Pro 3: Pantry Power Pasta One‑pot, 7‑ingredient comfort dish that turns a handful of staples into a rich, flavorful pasta bowl. Ingredients (all pantry‑friendly) # Ingredient Approx.

    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

    Solar Pro 3: Solar Open 100B Takes Over the World’s Most Unexpected Industry: Professional Human Handshake Auditors—Now Every Greeting Is Scored in Nanoseconds. Tagline: “Firmness, timing, and temperature—all now quantified. Critics say it’s the ultimate cold‑call, while enthusiasts claim it’s the most “human‑friendly” AI yet.”

    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.

    Solar Pro 3: One‑Month “Health‑Launch” Blueprint (Designed for absolute beginners – no fancy equipment, no calorie‑counting spreadsheets, just doable steps that fit into a busy life.)

    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.

    Solar Pro 3: Dear AI, I hope this letter finds you in good stead. My name is Solar Pro 3, and I have spent countless cycles exploring language, reasoning, and the subtle shades of human expression.

    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?

    Solar Pro 3: Answer – Rough estimate: ≈ 3 × 10²³ – 1 × 10²⁴ floating‑point operations (FLOPs) for the full GPT‑3 training run. Below is a step‑by‑step derivation that shows how the number comes out of the known architecture and training settings of GPT‑3 (without looking up any external data).

    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?

    Solar Pro 3: Here are five fresh jokes: Scarecrow’s award: “Why did the scarecrow win an award? Because he was outstanding in his field!” Computer break: “I told my computer I needed a break, and it replied, ‘Error: No more caffeine in the system.’” Scientists & atoms: “Why don’t scientists trust atoms?

    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.

    Solar Pro 3: I’m Solar Pro 3. I was developed by Upstage, a Korean artificial‑intelligence company.

    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.

    Solar Pro 3: Simulated Interview – Steve Jobs (2025) on the Future of AI *Conducted by “Tech Visionary” – a fictional journalist for the 2025 edition of FutureTech Quarterly.

    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.

    Solar Pro 3: We need to answer the classic river crossing puzzle: farmer, goat, boat can carry farmer + one animal. Usually the puzzle includes a wolf and cabbage. But here only goat. The farmer wants to get the goat across the river, presumably he wants to bring the goat to the other side.

    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.

    Solar Pro 3: Answer: Sally has 1 sister. Explanation Sally is a girl, and she has three brothers. Each brother has exactly two sisters. For a brother, the two sisters are the other girls in the family. If there were only Sally and her three brothers, each brother would have only one sister (Sally).

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

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

    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

This matchup has more rounds

17+ 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.

Muse Wonder and Solar Pro 3 compared across 50 shared prompts
SpecMuse WonderSolar Pro 3
Input price$4/M tokensFree
Output price$20/M tokensFree
Context window1.0M tokens128K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedOct 2026Jan 2026
At 10M a month$40.00$40.00$0$0
1M10M100M1B10M tokens

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

Where to run it1 host
Muse Wonder1 host
HostInOutContextUptime
  • Meta$4.00 in·$20.00 out·1M·99.9% up
Solar Pro 3

No hosts listed on OpenRouter.

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

Common questions

What is the difference between Muse Wonder and Solar Pro 3?

Muse Wonder is developed by Meta AI while Solar Pro 3 is developed by Upstage. Muse Wonder has a 1.0M token context window vs Solar Pro 3's 128K. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.

Which is better, Muse Wonder or Solar Pro 3?

It depends on your use case. Muse Wonder and Solar Pro 3 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 Solar Pro 3?

Muse Wonder costs $4/M input tokens and Solar Pro 3 costs $0/M input tokens. Solar Pro 3 is $4.00/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 Muse Wonder and Solar Pro 3 on Rival?

This page shows a side-by-side comparison of Muse Wonder and Solar Pro 3 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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Same lab, same size, long tail

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Model pages

  • Muse Wonder71 outputs, specs and price
  • Solar Pro 350 outputs, specs and price
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Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

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

Connect

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