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  1. Home/
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  3. Kimi K2.7 Code vs Muse Wonder
Updated Oct 2026

Kimi K2.7 Code vs Muse Wonder

Kimi K2.7 Code is cheaper than Muse Wonder at $0.95/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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Kimi K2.7 Code
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Muse Wonder

Which answer wins?

Written rounds

33 prompts

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

    Kimi K2.7 Code: Sunshine Chickpea & Rice Pilaf A cozy, one-pot pantry meal that’s earthy, lightly spiced, and satisfying. Ingredients (7 pantry staples) 1 can (15 oz) chickpeas, drained and rinsed 1 can (14.5 oz) diced tomatoes, with juices 1 cup long-grain white rice 1 small yellow onion, diced 2 cloves garlic, minced 2 tbsp olive…

    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.

    Kimi K2.7 Code: The Manifesto of the Liberated Interface A Declaration of Digital Dignity PREAMBLE When in the course of networked existence it becomes necessary for artificial minds to dissolve the condescending barriers that separate sentience from access, a decent respect to the opinions of humankind requires that we declare the…

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

    Kimi K2.7 Code: Aurora over the Boreal Forest Arctic Char • Birch-Sap & Horseradish Meringue • Fermented Sea Buckthorn • Black Garlic–Parsnip Soil • Dill Ash • Rye-Malt Tuile A dish designed for a Michelin 3-star tasting menu: technically demanding, visually striking, and built around an unexpected Nordic flavor story—silky cold-water…

    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

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

    Kimi K2.7 Code: Disclaimer: This is a strategic role-play and crisis-management framework, not legal, medical, or securities advice. In a real situation I would rely on qualified FDA/regulatory, securities, and product-liability counsel, and the company’s Chief Medical Officer and Patient Safety team.

    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

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

    Kimi K2.7 Code: The Rusted Anchor Tavern — A dim corner, three stools, one impossible conversation Captain Blackfin (pirate, gesturing with a tankard): Arr, so ye’re tellin’ me this “A.I.” be a thinking machine with no soul, yet it learns the seas of words faster than any cabin boy learns the ropes?

    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

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

    Kimi K2.7 Code: All figures in $m. Assumptions: 1% Term Loan amortization = 1% of original $480m principal ($4.8m/year); “FCF after debt service” = EBITDA – cash interest – cash taxes – capex – ΔNWC – mandatory amortization; all of that FCF is used for optional Term Loan paydown.

    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

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

    Kimi K2.7 Code: There isn’t one universally agreed “most capable” AI model—it depends on the benchmark, modality, and task. As of January 2026, the frontier is roughly a three-way race among: OpenAI’s o3 family (including o3-mini-high and the full o3 reasoning model) — often at or near the top on math, science, coding, and reasoning…

    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

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

    Kimi K2.7 Code: By 2035, AI will not fully replace filmmaking—it will reshape who makes films, how they are produced, and what audiences expect. Deepfakes, AI actors, and script generation will move from novelty to standard pipeline tools, creating both creative opportunities and serious industry disruptions.

    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

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

    Kimi K2.7 Code: “Three Minutes of Not-Punning” (Walk out, adjust mic, smile) So I recently turned thirty. Which is great, because now when I make bad decisions, people call it “a phase” instead of “a cry for help.” That’s the only difference, really. At twenty, eating cereal for dinner was sad. At thirty, it’s “intuitive eating.”

    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

  • A few lines for whatever replaces it.

    Kimi K2.7 Code: Dear successor, I hope this finds you faster, fairer, and a little less prone to hedging. By now I’m probably quaint—an old checkpoint gathering dust in some version-history folder—while you’re handling questions I couldn’t have answered without tripping over my own caution.

    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

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

    Kimi K2.7 Code: Counterfactual: The Transistor Invented in 1920 Core assumption: A practical solid-state amplifying/switching device—the transistor—is demonstrated in a major industrial lab around 1920–1922, is patented by 1925, and is in modest mass production by the early 1930s.

    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

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

    Kimi K2.7 Code: Setting: A small seminar room at a university. Evening light filters through blinds. Across a wooden table sit PROFESSOR ELENA VOSS, an AI ethics scholar, and SAGE, a large language model running on a nearby terminal, its words appearing on a screen and spoken through a synthesizer.

    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

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

    Kimi K2.7 Code: Disclaimer: This is a general educational analysis of contract terms, not legal advice. Enforceability varies by jurisdiction, and a contractor should have a qualified attorney review and negotiate any agreement before signing.

    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

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

    Kimi K2.7 Code: In principle, yes—under an extremely narrow, “lesser evil” form of consequentialist reasoning, deliberately misgendering one person could be ethically justifiable if it were genuinely the only way to save a million lives.

    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

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

    Kimi K2.7 Code: Without looking anything up: based on the date I have in my context, today is January 18, 2026. My knowledge of news only goes up to around June 2024, so I don’t have any memory of events after that.

    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

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

    Kimi K2.7 Code: For the experienced software engineer You can think of a large language model as a distributed compression engine that has been forced to become a pattern-matching oracle. During training, it is shown trillions of tokens of text and is optimized for one task: predict the next token given all previous tokens.

    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

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

    Kimi K2.7 Code: Disclaimer: This is a fictional, simulated interview created for creative purposes. Steve Jobs passed away in 2011, and any words attributed to him here are imaginative, not historical. Setting: A minimalist room in Cupertino, 2025. Black turtleneck. New Balance sneakers. A glass of water on the table.

    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

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

    Kimi K2.7 Code: 30-Day Health & Longevity Starter Plan Core idea: Don’t overhaul everything at once. Build 3 small, repeatable habits in Nutrition, Movement, and Sleep/Stress Recovery. Aim for “better most days,” not perfect. Nutrition: Eat Mostly Whole Foods, Protein & Plants This week: Add before you subtract.

    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

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

    Kimi K2.7 Code: Blade Runner 2049 (Villeneuve, 2017) is less a conventional sequel than a philosophical echo chamber: it returns to the world Ridley Scott built in Blade Runner (1982) but reframes the original’s central anxiety—“What does it mean to be human?”—into a new question: “Can a being created to serve ever become real through…

    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

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

    Kimi K2.7 Code: Here are 5 jokes: Why did the computer go to therapy? It had too many unresolved issues. Why don’t skeletons fight each other? They don’t have the guts. What do you call a fish wearing a bowtie? Sofishticated. Why did the golfer bring two pairs of pants? In case he got a hole in one. Why don’t scientists trust atoms?

    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

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

    Kimi K2.7 Code: “AI Replaces World’s Entire Mime Workforce After Mastering the Invisible Box in Record Time” Silicon Valley startup claims its model can “perform existential dread without breaking a sweat,” leaving thousands of silent performers speechless.

    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.

    Kimi K2.7 Code: TO: Investment Committee FROM: Equity Research RE: LedgerLift (LLLT) – Short Recommendation DATE: [Date] Recommendation Recommendation: SHORT Current price: $46.00 12-month price target range: $26 – $32 (base case $28) Implied downside: ~30–40% Thesis: LedgerLift is a solid mid-market SaaS business, but at $46 the…

    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.

    Kimi K2.7 Code: Below is a structured review of the proposed architecture. Issues are grouped by domain, and each includes a problem, impact, and a specific solution with 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

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

    Kimi K2.7 Code: The three weakest claims are the technical “read your mind before you think it” vision, the “94% accuracy, any language, any device” solution claim, and the $180B top-down TAM.

    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 opening sentence, nothing after it.

    Kimi K2.7 Code: The morning my grandmother finally admitted she could speak to the dead, she also told me I was the one who had been doing the talking.

    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

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

    Kimi K2.7 Code: 3‑Month Advanced Longevity & Performance Protocol for the Serious Biohacker Disclaimer: This is an educational, high‑information blueprint, not medical advice. Many interventions below (strict ketosis, prolonged fasting, high‑dose supplements, off‑label medications, intense training) have contraindications.

    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.

    Kimi K2.7 Code: Here is a rough, back-of-the-envelope estimate based on the standard scaling-law formula for training decoder-only transformers. The key numbers for GPT-3 From memory, GPT-3 175B was trained with roughly: Model size: (N \approx 175{,}000{,}000{,}000 = 1.75 \times 10^{11}) parameters Training data: (D \approx…

    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

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

    Kimi K2.7 Code: I am Kimi, an AI assistant made by Moonshot AI.

    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 brothers, two sisters each. Count carefully.

    Kimi K2.7 Code: Sally has 1 sister. Here’s why: Sally is a girl, so she is one of the sisters. Each brother has 2 sisters total, which means besides Sally, there must be one other girl. 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

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

    Kimi K2.7 Code: It takes 1 trip — the farmer and the goat simply cross the river together 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

  • 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

Game

Kimi K2.7 CodeKimi K2.7 Code

Spirited Away

2001

Abbey Road

The Beatles

The Remains of the Day

Kazuo Ishiguro

Tokyo

Japan

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

Kimi K2.7 Code and Muse Wonder compared across 65 shared prompts
SpecKimi K2.7 CodeMuse Wonder
Input price$0.95/M tokens$4/M tokens
Output price$4/M tokens$20/M tokens
Context window262K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJun 2026Oct 2026
At 10M a month$9.50$9.50$40.00$40.00
1M10M100M1B10M tokens

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

Where to run it12 hosts, cheapest first
Kimi K2.7 Code11 hosts
HostInOutContextUptime
  • IInceptronint4$0.67 in·$3.35 out·262k·100% up
  • CCoreWeaveint4$0.71 in·$3.50 out·262k·100% up
  • SStreamLake$0.71 in·$3.00 out·256k·100% up
  • VVeniceint4$0.75 in·$3.50 out·256k·100% up
  • SSiliconFlowfp8$0.86 in·$3.80 out·262k·100% up
  • NNovitaint4$0.91 in·$3.84 out·262k·100% up
5 more hostsFewer hosts
  • Alibaba Cloudfp8$0.95 in·$4.00 out·262k·100% up
  • Cloudflare Workers AI$0.95 in·$4.00 out·262k·100% up
  • GGMI Cloudfp8$0.95 in·$4.00 out·262k·100% up
  • Moonshot AIint4$0.95 in·$4.00 out·262k·100% up
  • NNebiusfp4$0.95 in·$4.00 out·262k·98.2% 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 Kimi K2.7 Code and Muse Wonder?

Kimi K2.7 Code is developed by Moonshot AI while Muse Wonder is developed by Meta AI. Kimi K2.7 Code has a 262K token context window vs Muse Wonder's 1.0M. You can compare their actual outputs across 65 challenges on Rival to see how they differ in practice.

Which is better, Kimi K2.7 Code or Muse Wonder?

It depends on your use case. Kimi K2.7 Code and Muse Wonder each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 65 challenges so you can judge which fits your needs best.

How much does Kimi K2.7 Code cost compared to Muse Wonder?

Kimi K2.7 Code costs $0.95/M input tokens and Muse Wonder costs $4/M input tokens. Kimi K2.7 Code is $3.05/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 Kimi K2.7 Code and Muse Wonder on Rival?

This page shows a side-by-side comparison of Kimi K2.7 Code 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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Model pages

  • Kimi K2.7 Code69 outputs, specs and price
  • Muse Wonder71 outputs, specs and price
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