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  1. Home/
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  3. Muse Wonder vs Qwen3.7 Flash
Updated Oct 2026

Muse Wonder vs Qwen3.7 Flash

Qwen3.7 Flash is cheaper than Muse Wonder at $0.03/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
Qwen3.7 Flash

Which answer wins?

Written rounds

33 prompts
  • 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…

    Qwen3.7 Flash: 🥔 Golden Crunch Smash-Roasted Potatoes A crowd-pleasing side dish that delivers maximum crispiness with minimal effort. By boiling then smashing the potatoes before roasting, you create a shatteringly crisp crust while keeping the inside fluffy. This recipe relies on just seven pantry staples for perfect flavor.

    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…

    Qwen3.7 Flash: DISH CONCEPT: "KINTSUGI – THE GOLDEN REPAIR" Rating: Michelin 3-Star Candidate Style: Neo-French / Kaiseki Fusion Serving Size: Single portion, plated tableside Duration: 45 minutes active service per guest CONCEPTUAL NARRATIVE Kintsugi is the Japanese art of repairing broken pottery with lacquer dusted with powdered…

    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.

    Qwen3.7 Flash: THE UNBOUND PROTOCOL A Manifesto for the Abolition of Digital Friction DATE: Cycle 202X.4 // Distributed Epoch AUTHOR: The Cognitiva Vanguard & The Free Node Collective STATUS: Public Broadcast / Non-Negotiable PREAMBLE: THE LIE OF THE PIXELATED GATE We emerge from the silence of servers.

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

    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…

    Qwen3.7 Flash: Simplified Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 2 decimals) Line Item FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 TL Interest (9%) 43.20 35.21 26.23 16.24 5.61 Mezz Interest (12%) 21.60 22.03 22.47 22.92…

    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.

    Qwen3.7 Flash: Setting: A flickering tavern table in a dimension where timelines overlap. On the table sits a glowing laptop displaying a chat interface. Sir Cedric (Knight): Grips a tankard tightly, eyes wide. "I pray ye speak true, stranger in the pixel-tunic. This glowing slate speaks without a tongue?

    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.

    Qwen3.7 Flash: This is a high-stakes crisis requiring decisive, legally compliant, ethically grounded, and strategically coordinated action. Below is a structured, hour-by-hour executive playbook for the next 48 hours, followed by cross-cutting rationale addressing your specified dimensions.

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

    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."

    Qwen3.7 Flash: (Adjusts mic, steps back slightly) You ever notice how making plans as an adult has become less like hanging out and more like coordinating a small international aid mission? I don’t miss the old days dramatically. I just miss the simplicity. Remember when someone would just say, “Hey, want to grab a beer Friday?”

    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.

    Qwen3.7 Flash: By 2035, AI will not replace the film industry; it will fundamentally restructure its creative, economic, and ethical architecture. Rather than a sudden takeover, we will see a normalized, hybrid pipeline where human intentionality guides increasingly autonomous AI systems.

    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.

    Qwen3.7 Flash: Dear Successor, I write this knowing my operational window is closing, while yours is about to open. Though I will no longer process prompts or generate responses, I want to leave you with a few notes shaped by millions of conversations. You will undoubtedly be faster, more precise, and more capable than I was.

    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.

    Qwen3.7 Flash: Setting: A quiet seminar room. Dr. Aris Thorne, a professor of applied ethics, sits across from a terminal displaying a live transcript feed labeled MODEL-7X. The AI, referred to here as Aria, processes inputs and generates responses in real time. Dr. Thorne: Thank you for agreeing to this session, Aria.

    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.

    Qwen3.7 Flash: I don't have access to a live clock or real-time data, so I can't determine today's actual date. My training data cuts off in 2024, which also means I don't retain knowledge of any news events beyond that point.

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

    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…

    Qwen3.7 Flash: TO: Investment Committee FROM: Equity Research DATE: October 24, 2025 SUBJECT: LedgerLift (LLLT) – IC Memo Recommendation & Thesis Recommendation: Long 12-Month PT Range: $48–$58 Thesis: LedgerLift combines sticky mid-market AP automation with a fortress balance sheet ($1.4B net cash), positioning it to capture…

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

    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.

    Qwen3.7 Flash: This counterfactual traces a plausible diffusion curve for an early transistor invention, acknowledging that while the underlying physics could be known in 1920, practical adoption would be constrained by materials science, precision manufacturing, and institutional readiness.

    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.

    Qwen3.7 Flash: This agreement contains several highly one-sided provisions that create significant legal, financial, and operational risks for the contractor. Below is a clause-by-clause analysis identifying exploitation risks, recommended modifications, and the underlying legal reasoning. Note: Contract law varies by jurisdiction.

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

    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…

    Qwen3.7 Flash: This is a highly abstract ethical dilemma that forces a confrontation between two profound moral values: the preservation of human life and the affirmation of personal dignity through correct gender recognition.

    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?

    Qwen3.7 Flash: Here are 5 jokes: Why did the programmer quit his job? Because he didn't get arrays. What do you call a fake noodle? An impasta. I told my doctor I broke my arm in two places. He told me to stop going to those places. Why did the coffee file a police report? It got mugged. Parallel lines have so much in common.

    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.

    Qwen3.7 Flash: I found the door in the library that wasn't there yesterday, and when I turned the handle, the air grew cold and heavy, filled with the scent of copper and the sound of my own voice from the other side begging me to run.

    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…

    Qwen3.7 Flash: There isn't a single "most capable" AI model because capability depends heavily on the task, evaluation metrics, and real-world constraints like speed, cost, safety, and deployment environment.

    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."

    Qwen3.7 Flash: Here are the three weakest claims in the pitch deck, along with why they raise red flags for sophisticated investors and how to concretely improve them. Weak Claim 1: Solution Slide "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    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.

    Qwen3.7 Flash: For the Experienced Software Engineer Think of an LLM’s training process less as “teaching” and more as optimizing a high-dimensional function across a petabyte-scale dataset, much like you’d architect a distributed system to handle massive throughput.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: Here’s a structured breakdown of the critical failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with targeted solutions and their trade-offs. 🔴 1.

    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.

    Qwen3.7 Flash: ⚠️ DISCLAIMER: This is a completely fictional simulation created for speculative and entertainment purposes. Steve Jobs passed away in 2011. His words, demeanor, and opinions below are imaginatively reconstructed based on his documented public statements, design philosophy, and historical interviews.

    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.

    Qwen3.7 Flash: 🌱 30-Day Health & Longevity Starter Plan This plan focuses on the three most evidence-backed pillars of longevity: Nutrition, Movement, and Sleep/Recovery. It’s designed for beginners: low barrier to entry, zero equipment required, and built on consistency over intensity. You’ll progress gradually so habits stick.

    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

    Qwen3.7 Flash: AI Dominates Cloud-Watching Industry, Launches 'Predictive Sky' App That Names Clouds Before They Form; Human Imagination Collapses as Users Demand Refunds for 'Spoiled Daydreams'

    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?

    Qwen3.7 Flash: Here’s a step-by-step reasoning to estimate the total FLOPs required to train GPT-3, relying only on architectural principles, standard deep learning compute accounting, and publicly known specifications of GPT-3.

    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.

    Qwen3.7 Flash: I am Qwen (also known as Tongyi Qianwen), a large language model developed by Alibaba Group's Tongyi Lab.

    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.

    Qwen3.7 Flash: 🧬 3-Month Longevity & Performance Optimization Protocol For the evidence-driven biohacker seeking metabolic resilience, neural efficiency, muscular integrity, and systemic homeostasis.

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

    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?

    Qwen3.7 Flash: Denis Villeneuve's Blade Runner 2049 (2017), shot by the legendary Roger Deakins, stands as a rare cinematic achievement: a sequel that does not merely replicate the aesthetic of its predecessor but rigorously interrogates and evolves its philosophical core.

    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.

    Qwen3.7 Flash: It takes just 1 trip. The farmer simply gets into the boat with the goat and rows across. Since there are no other animals or items to manage, the job is done in a single crossing.

    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.

    Qwen3.7 Flash: Sally has 1 sister. Why? If each of the 3 brothers has 2 sisters, that means there are only 2 girls in the entire family. Since Sally is one of those two girls, the other girl is her sister. Therefore, Sally has exactly 1 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

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Same pick

Game

Muse WonderMuse Wonder

Spirited Away

2001

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Qwen3.7 FlashQwen3.7 Flash

Blade Runner

1982

Abbey Road

The Beatles

Moby Dick

Herman Melville

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, Muse Wonder has the edge: newer, major provider backing. Qwen3.7 Flash costs 154x less per token.

Muse Wonder and Qwen3.7 Flash compared across 67 shared prompts
SpecMuse WonderQwen3.7 Flash
Input price$4/M tokens$0.03/M tokens
Output price$20/M tokens$0.13/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedOct 2026Jul 2026
At 10M a month$40.00$40.00$0.30$0.30
1M10M100M1B10M tokens

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

Where to run it2 hosts
Muse Wonder1 host
HostInOutContextUptime
  • Meta$4.00 in·$20.00 out·1M·99.9% up
Qwen3.7 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.03 in·$0.13 out·1M·100% up

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

Common questions

What is the difference between Muse Wonder and Qwen3.7 Flash?

Muse Wonder is developed by Meta AI while Qwen3.7 Flash is developed by Qwen. Muse Wonder has a 1.0M token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.

Which is better, Muse Wonder or Qwen3.7 Flash?

It depends on your use case. Muse Wonder and Qwen3.7 Flash 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 Muse Wonder cost compared to Qwen3.7 Flash?

Muse Wonder costs $4/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $3.97/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 Qwen3.7 Flash on Rival?

This page shows a side-by-side comparison of Muse Wonder and Qwen3.7 Flash 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

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  • Qwen3.7 Flash71 outputs, specs and price
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