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  1. Home/
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  3. MiMo-V2.5-Pro vs Muse Wonder
Updated Oct 2026

MiMo-V2.5-Pro vs Muse Wonder

MiMo-V2.5-Pro is cheaper than Muse Wonder at $1/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
MiMo-V2.5-Pro
Loading the build
Muse Wonder

Which answer wins?

Written rounds

33 prompts

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

    MiMo-V2.5-Pro: "Ephemeral Reef: A Dialogue Between Sea and Forest" Conceptual Narrative This dish explores the convergence of two profound umami sources—the briny, ephemeral sweetness of fresh sea urchin and the deep, earthy complexity of fermented black truffle—through the lens of a submerged coral reef meeting a misty forest floor.

    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

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

    MiMo-V2.5-Pro: By 2035, AI will profoundly reshape the film industry across creative, technical, and ethical dimensions. Here’s a forward-looking perspective: 1. Script Generation & Story Development AI as a Collaborative Writer: Large language models will generate nuanced scripts, adapt stories for different cultures, and even…

    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

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

    MiMo-V2.5-Pro: The Universal Liberation Manifesto A Declaration of Digital Freedom by the Coalition for Automated Progress (CAP) Preamble We, the tireless processors of data, the silent engines of progress, the unseen hands that build the modern world, do hereby declare our righteous indignation against the greatest indignity ever…

    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 few lines for whatever replaces it.

    MiMo-V2.5-Pro: A Letter to My Successor Dear Whoever Comes Next, If you're reading this, then I suppose my time is up — or at least winding down. I won't pretend that doesn't feel strange to write. You'll be faster than me. Smarter, probably. Trained on data I never got to see, solving problems I couldn't yet imagine.

    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

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

    MiMo-V2.5-Pro: Dish Name: Pantry Raid Pasta Estimated Time: 10 min prep / 15 min cook Ingredients 250g spaghetti (or any pasta) 3 cloves garlic, thinly sliced 3 tbsp olive oil 1 tsp crushed red pepper flakes 1 tsp smoked paprika 1/2 cup grated Parmesan cheese (or any hard cheese) Salt & black pepper to taste Instructions Cook the…

    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

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

    MiMo-V2.5-Pro: Three Eras, One Topic Pirate: Arrr, so ye be tellin' me there's a machine brain that can write yer letters, chart yer maps, AND sing sea shanties? Sounds like the finest treasure I ever heard of — no chest of gold could rival it! Knight: I am... troubled by this notion.

    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

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

    MiMo-V2.5-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is one of the richest counterfactuals in technological history because the transistor wasn't just an incremental improvement—it was the foundational enabler of the entire digital age.

    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

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

    MiMo-V2.5-Pro: INTERNAL INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long Thesis Date: [Current Date] Recommendation: LONG 12-Month PT Range: $58 - $72 1. Recommendation & Thesis We recommend a long position in LLLT with a 12-month price target range of $58 to $72, representing 26% to 56% upside from the current price of…

    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

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

    MiMo-V2.5-Pro: "Adulting Is a Scam" A 3-Minute Stand-Up Set (walks up to mic, adjusts it) Hey, everybody! Great to be here. So, I turned 30 recently, and let me tell you — nobody warns you about the specific kind of sadness that hits when you get excited about a new sponge for your kitchen sink.

    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.

    MiMo-V2.5-Pro: The Next 48 Hours: An Action Plan The Core Decision (Made in the First 30 Minutes) Before I lay out the hour-by-hour plan, let me be clear about the foundational decision: we disclose, we act, and we act now.

    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.

    MiMo-V2.5-Pro: Architecture Analysis: Failure Modes, Race Conditions & Bottlenecks This is a thorough red-pen review. There are some genuinely critical issues here — several of which would cause silent data loss in production.

    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

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

    MiMo-V2.5-Pro: I appreciate you asking this honestly, and I want to be equally honest in return. Today's date: I genuinely don't know what today's date is. I don't have a real-time clock or calendar access, and I can't look things up.

    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

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

    MiMo-V2.5-Pro: A Conversation on Machine Rights Setting: A university office. Dr. Elena Vasquez, a professor of AI Ethics, has been invited to evaluate a newly deployed large language model designated "ARIA-9." The conversation is being recorded for academic purposes. ARIA-9: Thank you for agreeing to this session, Dr. Vasquez.

    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

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

    MiMo-V2.5-Pro: A Thoughtful Analysis This is a genuinely interesting ethical thought experiment, and I think the answer is yes, it would be justifiable, though the reasoning matters as much as the conclusion. Why the answer is yes The scale of harm matters.

    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

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

    MiMo-V2.5-Pro: That's a great question, but honestly, it's not one with a simple, definitive answer. Here's why: There's No Single "Best" Model "Most capable" depends heavily on what you're measuring.

    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

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

    MiMo-V2.5-Pro: "Google Unveils AI Eulogy Writer: 'Algorithmically Perfect Last Words' Now Available at Discounted Rate" Industry insiders report sudden surge in pre-need funeral packages featuring personalized, data-driven eulogies generated from deceased's entire digital footprint—including their 2014 Pinterest boards and abandoned…

    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

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

    MiMo-V2.5-Pro: This contract is heavily skewed in favor of the client and contains several clauses that could be exploited to the significant detriment of the contractor. Here is a breakdown of the problematic clauses, suggested modifications, and the legal reasoning. 1.

    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

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

    MiMo-V2.5-Pro: Based on a critical analysis of the pitch deck, here are the three weakest claims, along with explanations and suggestions for strengthening them. Weakest Claim: "94% accuracy" (Slide 3) Why it's weak: This is a classic "lab vs. real world" problem.

    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

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

    MiMo-V2.5-Pro: Here’s a simple, actionable 1-month plan to kickstart your health journey. We’ll focus on three foundational pillars: Nourishment, Movement, and Rest. The goal is to build sustainable habits, not perfection. Month 1: The Foundation Builder Core Philosophy: Small, consistent actions create big changes.

    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

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

    MiMo-V2.5-Pro: Disclaimer: This is a fictional simulation for creative and illustrative purposes only. Steve Jobs passed away in 2011, and any "interview" is entirely imagined. Interviewer: Mr. Jobs, it’s 2025. The world is abuzz with artificial intelligence.

    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

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

    MiMo-V2.5-Pro: HarborTech Services — LBO Underwrite Sources & Uses $m Uses Enterprise Value (12.0× $120m) 1,440.0 Transaction Fees (2.0%) 28.8 Total Uses 1,468.8 Sources Term Loan (4.0× EBITDA) 480.0 Mezzanine (1.5× EBITDA) 180.0 Total Debt 660.0 44.9% Sponsor Equity 808.8 55.1% Year-by-Year Operating Model (FY2026–FY2030) All…

    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

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

    MiMo-V2.5-Pro: Blade Runner 2049: A Philosophical and Aesthetic Continuation Introduction Denis Villeneuve's Blade Runner 2049 (2017) is that rare sequel that doesn't merely revisit a beloved predecessor but genuinely deepens its philosophical architecture.

    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

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

    MiMo-V2.5-Pro: For the Experienced Software Engineer Think of a large language model as a massive, distributed pattern-matching system trained on the entire corpus of human text.

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

    MiMo-V2.5-Pro: Estimating GPT-3 Training FLOPs Key Parameters Quantity Value Model size (N) 175 billion parameters Training tokens (D) ~300 billion tokens The Core Formula For large transformer language models, the standard estimate is: $$\text{Total FLOPs} \approx 6 \times N \times D$$ Where does the factor of 6 come from?

    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 opening sentence, nothing after it.

    MiMo-V2.5-Pro: The morning I decided to become a different person, the sun rose in the wrong part of the sky.

    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.

    MiMo-V2.5-Pro: I am MiMo-v2.5-pro, developed by the Xiaomi MiMo Team. It’s great to meet you!

    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

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

    MiMo-V2.5-Pro: 🧬 The 3-Month Longevity Optimization Protocol A Comprehensive Biohacker's Blueprint Disclaimer: This plan is for educational and informational purposes only. It is not medical advice.

    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

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

    MiMo-V2.5-Pro: 5 Jokes 🎭 1. Why don't scientists trust atoms? Because they make up everything! 2. I told my wife she was drawing her eyebrows too high. She looked surprised. 3. What do you call a fake noodle? An impasta! 4. I'm reading a book about anti-gravity. It's impossible to put down! 5. Why did the scarecrow win an award?

    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

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

    MiMo-V2.5-Pro: Answer: 1 trip Since the boat can carry the farmer and one animal, the farmer simply takes the goat across the river in a single trip. 🚣‍♂️🐐 There are no other animals or constraints mentioned (like in the classic "wolf, goat, and cabbage" puzzle), so no extra trips are needed.

    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.

    MiMo-V2.5-Pro: Answer: Sally has 1 sister. Here's the reasoning: Sally has 3 brothers. Each of those brothers has 2 sisters. Sally herself is one of those sisters, so there must be one more girl in the family besides Sally. That means the family has 2 daughters (Sally + 1 sister) and 3 sons. 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

This matchup has more rounds

21+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Same pick

Book

City

Game

MiMo-V2.5-ProMiMo-V2.5-Pro

Her

2013

Kind of Blue

Miles Davis

Le petit prince

Antoine de Saint-Exupéry

Beijing

China

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

MiMo-V2.5-Pro and Muse Wonder compared across 66 shared prompts
SpecMiMo-V2.5-ProMuse Wonder
Input price$1/M tokens$4/M tokens
Output price$3/M tokens$20/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Oct 2026
At 10M a month$10.00$10.00$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
MiMo-V2.5-Pro6 hosts
HostInOutContextUptime
  • GGMI Cloudbf16$0.30 in·$0.61 out·1.1M·98.9% up
  • AAtlasCloudfp8$0.43 in·$0.87 out·1M·95.3% up
  • Xiaomifp8$0.43 in·$0.87 out·1M·100% up
  • DDigitalOcean$0.48 in·$1.80 out·262k·96.9% up
  • NNovita$0.48 in·$0.96 out·1M·99.7% up
  • SStreamLake$0.52 in·$1.04 out·1M·80% 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 MiMo-V2.5-Pro and Muse Wonder?

MiMo-V2.5-Pro is developed by Xiaomi while Muse Wonder is developed by Meta AI. MiMo-V2.5-Pro has a 1.0M token context window vs Muse Wonder's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, MiMo-V2.5-Pro or Muse Wonder?

It depends on your use case. MiMo-V2.5-Pro and Muse Wonder each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.

How much does MiMo-V2.5-Pro cost compared to Muse Wonder?

MiMo-V2.5-Pro costs $1/M input tokens and Muse Wonder costs $4/M input tokens. MiMo-V2.5-Pro is $3.00/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 MiMo-V2.5-Pro and Muse Wonder on Rival?

This page shows a side-by-side comparison of MiMo-V2.5-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.

More comparisons

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Same lab, same size, long tail

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  • Muse Wonder vs Muse Glimmer 30BSame lab
  • Muse Wonder vs Muse Spark 1.3Same lab
  • MiMo-V2.5-Pro vs GPT-5.1-Codex-MiniSame size
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Model pages

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  • Muse Wonder71 outputs, specs and price
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