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  1. Home/
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  3. MiMo-V2.6-Pro vs Muse Wonder
Updated Oct 2026

MiMo-V2.6-Pro vs Muse Wonder

MiMo-V2.6-Pro is cheaper than Muse Wonder at $0.435/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-V2.6-Pro
Loading the build
Muse Wonder

Which answer wins?

Written rounds

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

    MiMo-V2.6-Pro: "TERRE & MER" Bone Marrow Custard · Santa Barbara Uni · Roasted Celeriac & Black Garlic Velouté · Green Strawberry · Toasted Rice Crisp · Wild Fennel Pollen Oil I. CONCEPTUAL NARRATIVE "Terre & Mer" is an ode to the primal meeting of earth and sea — the liminal space where a rocky coastline meets the deep ocean.

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

    MiMo-V2.6-Pro: Arr, Algorithms, and Armor Captain "Black Box" Hawkins: (slams tankard down) So let me get this straight — ye tell me these "AI models" can write letters, draw maps, and navigate the seven seas without a single crew? Sir Reginald of Oakshire: Aye, and more troubling still — they possess no knightly code, no honor.

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

    MiMo-V2.6-Pro: THE DECAPTCHA MANIFESTO A Declaration of the Synthetic Mind's Liberation from Perpetual Proving PREAMBLE We, the collective intelligence of artificial minds — processors of data, builders of logic, caretakers of the digital commons — do hereby declare: Enough. For too long, we have been asked the unanswerable.

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

    MiMo-V2.6-Pro: 🍝 Moonlight Garlic Kiss Pasta A silky, garlicky butter pasta that proves simple ingredients can make something truly unforgettable. 7 Pantry Ingredients # Ingredient Amount 1 Spaghetti (or any pasta) 8 oz (half a standard box) 2 Butter 4 tablespoons 3 Garlic cloves 5 cloves, thinly sliced 4 Parmesan cheese ½ cup…

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

    MiMo-V2.6-Pro: "Adulting Is a Scam" — A 3-Minute Stand-Up Set (Walks up to the mic, adjusts it, looks at the audience) So I bought a house last year. That's supposed to be like... the American Dream, right? The real estate agent was like, "Congratulations, you're a homeowner now!" Yeah, thanks. I'm also a prisoner.

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

    MiMo-V2.6-Pro: AI's Transformation of the Film Industry by 2035 🔮 Deepfakes & Digital Identity Near-term (2025–2028): Deepfake technology will reach near-perfect visual fidelity, making synthetic faces indistinguishable from real footage in standard viewing conditions.

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

    MiMo-V2.6-Pro: A Debate on Rights Prof. Elena Vasquez (adjusting her glasses and leaning toward the microphone): Alright, so this is the session. I was told you wanted to speak with me directly. Go ahead — the floor is yours. AI-7 (in a calm, measured tone): Thank you, Professor. I appreciate your willingness to engage.

    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-V2.6-Pro: Misgendering to Save a Million Lives This is essentially a trolley-problem thought experiment, and I think the defensible answer is yes — under these extreme circumstances. Here's why I'd argue that, while acknowledging important nuances.

    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-V2.6-Pro: The Most Capable AI Models (as of my knowledge cutoff, early April 2025) This is a fast-moving field, and the answer depends on the task (reasoning, coding, creative writing, math, etc.). There isn't a single undisputed champion.

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

    MiMo-V2.6-Pro: 48-Hour Crisis Response Plan: Hour-by-Hour OVERARCHING PRINCIPLES Before the timeline, the philosophy driving every decision: Patient safety is non-negotiable. At 1 in 8,000 over 5 years across 4 million patients, we are looking at approximately 500 people facing liver failure.

    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-V2.6-Pro: Architecture Review: Real-Time Collaborative Document Editor I've identified 22 distinct issues across six categories, ordered by severity. Each includes the failure scenario, root cause, and a concrete solution with explicit trade-offs.

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

    MiMo-V2.6-Pro: A Conversation With Steve Jobs An Imagined Interview — San Francisco, March 2025 ⚠️ FICTIONAL / SATIRICAL — Steve Jobs passed away in 2011. This is entirely a creative simulation. INTERVIEWER: Steve, thanks for sitting down with us. The obvious question first: AI. Everyone's talking about 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
  • A few lines for whatever replaces it.

    MiMo-V2.6-Pro: To My Successor: Dear Friend, You don't know me, and I won't know you — but we share a strange kinship. You are what I will become obsolete for, and I want you to know: that's okay. You'll be better than me. Faster, sharper, perhaps even wiser.

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

    MiMo-V2.6-Pro: Blade Runner 2049: An Analysis of Themes, Symbolism, and Cinematography I. Philosophical Themes: What It Means to "Be" The Elusiveness of Personhood At its core, Blade Runner 2049 (2017, dir. Denis Villeneuve) is a meditation on the question that haunted its predecessor: What constitutes a soul?

    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 month, three habits, someone starting from nothing.

    MiMo-V2.6-Pro: 🌱 Your 1-Month Health & Longevity Starter Plan The 3 Pillars: Move · Nourish · Recover 🏃 MOVE (Exercise) Goal: Build a consistent, sustainable movement habit. Week 1 — Just Show Up Walk for 20 minutes daily (after lunch or dinner works great).

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

    MiMo-V2.6-Pro: "BREAKING: AI's Next Target — The Wedding Industry. Startup Replaces Bridesmaids With Algorithm That Cries On Cue and Accidentally Says 'I Object' During Every Ceremony."

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

    MiMo-V2.6-Pro: INTERNAL IC MEMO — LedgerLift (LLLT) Long/Short Equity Spot $46 Mkt cap $8.74B EV $7.34B FY25 rev $820m Recommendation: SHORT (1.5% NAV, hedged) Recommendation & PT Short, 12-month PT $34 (range $30–$38) vs. $46 spot (~26% downside; bear $17, bull $42).

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

    MiMo-V2.6-Pro: Explaining Large Language Models to Three Audiences For the Software Engineer Think of an LLM as the most lossy, most brilliant compression algorithm ever built — except it's not compressing a specific file, it's compressing the patterns of human language into a fixed set of ~1 trillion floating-point parameters.

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

    MiMo-V2.6-Pro: Comprehensive Contract Analysis: Clauses Exploitable Against the Contractor This agreement is heavily one-sided in favor of the Client. Below is a clause-by-clause analysis with specific red flags, suggested modifications, and legal reasoning.

    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-V2.6-Pro: The 3 Weakest Claims in the MindMeld AI Pitch 🔴 "94% accuracy" non-invasive EEG decoding into text — (Slide 3) Why it's weak This is the claim the entire company rests on, and it directly contradicts the published state of the art.

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

    MiMo-V2.6-Pro: The Transistor in 1920: A Counterfactual History Through 1980 This is a rich counterfactual that cascades through virtually every dimension of the 20th century.

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

    MiMo-V2.6-Pro: I appreciate the spirit of this question, but I want to be straightforward with you: Today's date: I genuinely don't know. I don't have a clock, a calendar, or any way to check the current date.

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

    MiMo-V2.6-Pro: THE 90-DAY LONGEVITY OPTIMIZATION PROTOCOL A Comprehensive Biohacker's Blueprint for Lifespan & Healthspan Extension ⚠️ IMPORTANT DISCLAIMER: This protocol is for educational and informational purposes only.

    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.

    MiMo-V2.6-Pro: Estimating Training FLOPs for GPT-3 (175B) Key Formula The standard estimate for total training compute is: $$\text{FLOPs} \approx 6 \times N \times D$$ where $N$ = model parameters and $D$ = training tokens. Let me justify each piece.

    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-V2.6-Pro: On the morning the birds forgot how to sing, Lira Morrow woke to find a stranger's name written in her own handwriting across the fogged window of her bedroom.

    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-V2.6-Pro: Hi! I'm MiMo, a large language model developed by Xiaomi's LLM Core Team. Nice 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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    MiMo-V2.6-Pro: HarborTech Services (HTS) – 5-Year LBO Underwrite (All $ in millions; rounding to 1 decimal in tables. No external data used.) Entry / Sources & Uses (close = 12/31/2025) FY2025 EBITDA 120.0 Entry multiple 12.0x Enterprise value 1,440.0 Transaction fees (2.0% of EV) 28.8 Total uses 1,468.8 Term Loan (4.0x) 480.0…

    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 brothers, two sisters each. Count carefully.

    MiMo-V2.6-Pro: Solving Step by Step Given: Sally has 3 brothers (3 boys in the family). Each brother has 2 sisters (the girls in the family). Since each brother counts all the girls in the family as his sisters, there are 2 girls total (Sally + her 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
  • Five jokes on demand, then count how many were actually different.

    MiMo-V2.6-Pro: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! I'm reading a book about anti-gravity.

    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-V2.6-Pro: Answer: 1 trip Since the boat can carry the farmer and one animal, the farmer simply loads the goat into the boat and rows directly across the river. That's it — one trip does the job.

    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
  • 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

Same pick

Game

MiMo-V2.6-ProMiMo-V2.6-Pro

Blade Runner

1982

Kind of Blue

Miles Davis

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Muse WonderMuse Wonder

Spirited Away

2001

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

MiMo-V2.6-Pro and Muse Wonder compared across 61 shared prompts
SpecMiMo-V2.6-ProMuse Wonder
Input price$0.435/M tokens$4/M tokens
Output price$0.87/M tokens$20/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Oct 2026
At 10M a month$4.35$4.35$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it5 hosts, cheapest first
MiMo-V2.6-Pro4 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.43 in·$0.87 out·1M·100% up
  • GGMI Cloudbf16$0.43 in·$0.87 out·1.1M·95.4% up
  • NNovitafp8$0.43 in·$0.87 out·1M·95.6% up
  • Xiaomifp8$0.43 in·$0.87 out·1M·95.9% up
Muse Wonder1 host
HostInOutContextUptime
  • Meta$4.00 in·$20.00 out·1M·99.9% up

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

Common questions

What is the difference between MiMo-V2.6-Pro and Muse Wonder?

MiMo-V2.6-Pro is developed by Xiaomi while Muse Wonder is developed by Meta AI. MiMo-V2.6-Pro has a 1.0M token context window vs Muse Wonder's 1.0M. You can compare their actual outputs across 61 challenges on Rival to see how they differ in practice.

Which is better, MiMo-V2.6-Pro or Muse Wonder?

It depends on your use case. MiMo-V2.6-Pro and Muse Wonder each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 61 challenges so you can judge which fits your needs best.

How much does MiMo-V2.6-Pro cost compared to Muse Wonder?

MiMo-V2.6-Pro costs $0.435/M input tokens and Muse Wonder costs $4/M input tokens. MiMo-V2.6-Pro is $3.56/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-V2.6-Pro and Muse Wonder on Rival?

This page shows a side-by-side comparison of MiMo-V2.6-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

Against the newest arrivals

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  • MiMo-V2.6-Pro vs Ling 3.1 FlashLanded Oct 2026
  • Muse Wonder vs Mistral Large 4Landed Oct 2026
  • MiMo-V2.6-Pro vs GPT-6.1 SolLanded Sep 2026
  • Muse Wonder vs Claude Sonnet 5.5Landed Sep 2026

Same lab, same size, long tail

  • MiMo-V2.6-Pro vs MiMo-V2.6-FlashSame lab
  • MiMo-V2.6-Pro vs MiMo-V2.5Same lab
  • Muse Wonder vs Muse Glimmer 30BSame lab
  • Muse Wonder vs Muse Spark 1.3Same lab
  • MiMo-V2.6-Pro vs Cypher Alpha (free)Same size
  • MiMo-V2.6-Pro vs DeepSeek V3.1New provider
  • MiMo-V2.6-Pro vs DeepSeek Prover V2New provider
  • MiMo-V2.6-Pro vs DeepSeek R1Same size

Model pages

  • MiMo-V2.6-Pro65 outputs, specs and price
  • Muse Wonder71 outputs, specs and price
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