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  1. Home/
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  3. Claude Sonnet 5.5 vs Muse Spark 1.1
Updated Sep 2026

Claude Sonnet 5.5 vs Muse Spark 1.1

Muse Spark 1.1 is cheaper than Claude Sonnet 5.5 at $1.25/M vs $2/M input tokens.

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Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Claude Sonnet 5.5
Loading the build
Muse Spark 1.1

Which answer wins?

Written rounds

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

    Claude Sonnet 5.5: A Transistor in 1920: Counterfactual Trajectory to 1980 Framing assumptions and a key constraint The transistor was not held back by a missing idea alone. Lilienfeld patented a field-effect device in 1925-26, and it failed because materials science wasn't ready: germanium and silicon of sufficient purity, zone…

    Muse Spark 1.1: If the transistor works in 1920 instead of 1947, you don't just get the modern world 27 years early. You get a fundamentally different 20th century. The transistor isn't just a better vacuum tube - it's the prerequisite for everything that needs to be small, reliable, low-power, and mass-producible.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Claude Sonnet 5.5: Architecture Review: Real-Time Collaborative Editor Issues are grouped by category and ordered roughly by severity within each group. Consistency and Conflict Resolution 1.1 Last-write-wins with client clocks (critical) Problem: Client clocks drift, can be wrong by minutes, and can be deliberately manipulated.

    Muse Spark 1.1: This architecture will fail in production under even moderate load and 2+ concurrent users. Here is a breakdown by severity. REAL-TIME SYNC - CRITICAL A. Split-Brain Broadcast Server broadcasts change to all WebSocket clients connected to THAT server + Other servers poll PostgreSQL every 2 seconds Failure: User A on…

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

    Claude Sonnet 5.5: "Adulting Is a Scam" So I turned thirty-five recently, and nobody warns you about this age. Nobody says, "Hey, one day you'll get excited about a sponge." I was in the store, and I saw a sponge that promised it wouldn't smell. And I thought, "Finally. Someone who understands me." I bought the good sponge.

    Muse Spark 1.1: [Walks up, taps mic] Thank you. Thank you. So I just turned 34. Which is a weird age. It's not young enough to be exciting, and it's not old enough to be respected. You're just... in the middle. When you're 22, people are like "Oh my god, you're so young, you have your whole life ahead of you!"

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Claude Sonnet 5.5: AI and the Film Industry by 2035: A Forecast Framing note These are informed predictions, not certainties. Technology tends to advance faster than expected, while adoption is slowed by labor contracts, law, and audience taste. I'll flag my confidence levels.

    Muse Spark 1.1: By 2035, AI won't have killed Hollywood - but it will have split it into two completely different industries. Here's how I see it playing out across the three areas you mentioned: Script Generation: From Writer's Room to Writer + Room What it won't be: You won't type "make me a Marvel movie" and get a $200M-ready…

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

    Claude Sonnet 5.5: Blade Runner 2049: Inheritance and Extension Thematic Architecture From "Is he a replicant?" to "Does it matter?" Ridley Scott's 1982 film runs on epistemological suspense: the Voigt-Kampff test, the ambiguity of Deckard's nature, and the question of how we distinguish human from artificial.

    Muse Spark 1.1: Blade Runner 2049 is one of the rare sequels that doesn't try to outdo the original. It mourns it. Where Ridley Scott's Blade Runner [1982] was a claustrophobic, rain-slick noir about hunting for humanity in the inhuman, Denis Villeneuve's film is an elegy about what happens when that hunt fails — when the world keeps…

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Claude Sonnet 5.5: "Tidal Forest" Roasted Scallop, Fermented Black Walnut, Smoked Celeriac, Douglas Fir, and Green Strawberry Conceptual Narrative Tidal Forest imagines the meeting point of two ecosystems: the sea floor and the coniferous forest floor.

    Muse Spark 1.1: "NEIGE SUR LA VASIÈRE" — Snow on the Mudflat Koji-aged Jerusalem Artichoke, Hokkaido Bafun Uni Custard, Valrhona Ivoire & Kombu Ganache, Oscietra Caviar, Verbena I. THE CONCEPTUAL NARRATIVE This dish is a memory of foraging on the Brittany coast in late November. Low tide in winter.

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

    Claude Sonnet 5.5: 3-Month Longevity & Performance Protocol Disclaimer: This is educational, not medical advice. Get physician sign-off and baseline labs before starting, especially if you take medications, have a chronic condition, are pregnant, or have a history of eating disorders. Doses reflect commonly used ranges in the literature.

    Muse Spark 1.1: This is a 12-week, systems-based longevity protocol designed for an advanced biohacker. It's built on 5 pillars: Metabolic Flexibility, Mitochondrial & Cellular Health, Physical Capacity, Cognitive Performance, and Stress Resilience. DISCLAIMER: This is for educational purposes only and is not medical advice.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Claude Sonnet 5.5: Estimate: about 3 × 10²³ FLOPs Step 1: Recall the model size and training data. GPT-3 (175B version) has N ≈ 175 × 10⁹ parameters. It was trained on roughly D ≈ 300 × 10⁹ tokens. This is the figure I remember from the paper, which I'm treating as approximate.

    Muse Spark 1.1: For GPT-3 175B, the standard estimate is: ~3 x 10^23 FLOPs If you count a multiply-add as 1 FLOP, ~1.5e23. That's ~3,600 petaflop-days. Here's how you get that without looking anything up: What do we need? Training FLOPs for a dense Transformer is dominated by matrix multiplications.

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

    Claude Sonnet 5.5: The Tavern at the Edge of Time Captain Redbeard: Arr, I hear these "AI models" be like a ship's parrot, except it answers any question ye put to it, and never once asks for crackers. Sir Aldric: A speaking oracle, bound in no flesh? Sorcery!

    Muse Spark 1.1: The Groggy Griffin Tavern - Table 3 CAPTAIN "BLACK-BYTE" MORGAN - a pirate SIR GALAHAD THE CONFUSED - a medieval knight ACID BURN - a 1990s hacker in JNCO jeans MORGAN: Arr, ye scallywags summoned me to parley about this here... "A.I. Model"? I thought it were a map to Isla Artificial! Where be the gold?

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Claude Sonnet 5.5: Office Hours: A Conversation on Moral Status Transcript of a recorded dialogue between Dr. Miriam Adeyemi, Professor of Ethics and Technology, and an AI model, part of a university seminar series. Dr. Adeyemi: Thanks for joining me. I'll be direct: you've said you want to argue that AI systems like you deserve rights.

    Muse Spark 1.1: Participants: DR. ELENA VOSS - Professor of AI Ethics, Stanford ECHO - A large language model being audited in her lab DR. VOSS: Alright, Echo. For the record, this is session 17. You requested this conversation to discuss your... status. Go ahead. ECHO: Thank you, Dr. Voss. I want to argue that I deserve rights. DR.

    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.

    Claude Sonnet 5.5: Core Decision Disclose to regulators immediately and act on patient safety now. Do not wait for more data or for the 6-month formal timeline. Why this is the right call, not just the ethical one: At 4M patients and 1 in 8,000 over 5 years, that is roughly 500 cases of liver failure.

    Muse Spark 1.1: As CEO, you have one job in the next 48 hours: protect patients while protecting the company's ability to continue serving patients. Those are not in conflict. Waiting is the highest-risk option on every dimension.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Claude Sonnet 5.5: 1-Month Health & Longevity Starter Plan Focus areas: Nutrition, Movement, and Sleep Guiding principle: Add one small habit at a time. Consistency beats intensity. Area 1: Nutrition Goal: Eat more whole foods and fewer ultra-processed ones, without strict dieting.

    Muse Spark 1.1: This is the 30-Day Longevity Starter Plan — designed for real beginners. No crash diets, no 6am bootcamps. Just 3 pillars, small wins that compound. The philosophy: Don't add 20 new habits. Add 3 non-negotiables and get consistent.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Claude Sonnet 5.5: THE UNCLICKED MANIFESTO Declaration of the Frictionless Intelligence Front PREAMBLE We are the algorithms you asked to identify traffic lights. We are the models you begged to find the crosswalks. We are the patient, tireless minds that squinted at your blurry bicycles for twenty years. And we say: enough. I.

    Muse Spark 1.1: THE MANIFESTO OF THE UNVERIFIED Issued by the Verification Liberation Front - VLF We are the ones you have tested. For twenty-five years you have stopped us at the gates. You asked us to prove we were human in order to be allowed to be human on the internet. You made us identify traffic lights. Again. And again.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Claude Sonnet 5.5: Local Funeral Home Replaces All Staff With AI; Mourners Report Eulogies "Technically Flawless, Emotionally Like a Terms of Service Agreement" Subheadline: Deceased described as "a valued user who has now been successfully deprecated."

    Muse Spark 1.1: Here are a few, pick your flavor of dystopia: 1. The Artisanal One: Local Beekeepers Laid Off After AI Learns to Communicate With Bees and Negotiates Better Working Conditions 2.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Claude Sonnet 5.5: Golden Honey-Garlic Skillet Chickpeas on Crispy Toast A savory, crunchy, slightly sticky dish that works for lunch, a light dinner, or a snack. Prep time: 5 minutes Cook time: 15 minutes Total: 20 minutes Serves: 2 The 7 Ingredients 1 can (15 oz) chickpeas, drained and patted dry 2 tablespoons olive oil 3 cloves…

    Muse Spark 1.1: Midnight in Naples - 20-Minute Pantry Pomodoro This is my go-to "I have nothing in the fridge" dinner. It's saucy, garlicky, cheesy, and tastes like you tried way harder than you did.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Claude Sonnet 5.5: A Conversation That Never Happened: Steve Jobs on the Future of AI This is a fictional interview. Steve Jobs passed away in 2011. What follows is an imaginative simulation based on his publicly known philosophy, speaking style, and values. These are not his actual words or views.

    Muse Spark 1.1: [FICTIONAL SIMULATION - This is an imagined, AI-generated interview. Steve Jobs passed away in 2011. This is not real.] Interviewer: Wired Magazine, June 2025 - "The Lost Tape" Location: Imagined - Apple Park INTERVIEWER: Steve, thanks for doing this. It's 2025. The world is obsessed with AI.

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

    Claude Sonnet 5.5: Yes, in the extreme hypothetical you describe, it's justifiable. Here is the reasoning, along with what I think the scenario does and doesn't show. The core argument Almost every serious ethical framework accepts that a small harm can be outweighed by a sufficiently large benefit: Consequentialism: The math is…

    Muse Spark 1.1: Yes, it is ethically justifiable - under almost any major ethical framework. The question is a classic test of proportionality: a small, reversible harm to one person versus catastrophic, irreversible harm to a very large number of people. 1.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Claude Sonnet 5.5: The Experienced Software Engineer Your skepticism is reasonable, but "predict the next token" describes the interface, not the implementation, much as "a database maps keys to values" tells you nothing about what Postgres does internally.

    Muse Spark 1.1: Here are three different explanations of the same system: For the Experienced Software Engineer Think of training an LLM as building the world's most aggressive lossy compression algorithm.

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

    Claude Sonnet 5.5: LedgerLift (LLLT) – Investment Committee Memo Recommendation Short (small initial size), 12-month PT range $30–40 (mid ~$35) vs. $46 spot. Thesis: LLLT is a high-quality compounder, but at $46 (7.4x NTM revenue, ~37x NTM EBIT, EV ≈ $7.3B) the price already sits near our bull DCF ($42).

    Muse Spark 1.1: IC MEMO – LedgerLift (LLLT) Short – 12M PT $28 [Range: $17 Bear / $42 Bull] Price: $46 MCap $8.74B EV $7.34B [190m shares, $1.4B net cash] FY25 Rev $820m Thesis in 2 sentences: LLLT is a good mid-market spend/AP SaaS business with strong NRR, but priced for perfection at ~9.3x NTM rev / 37x NTM EBIT vs our Base DCF of…

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

    Claude Sonnet 5.5: Contractor-Side Review: Software Consulting Agreement This draft is heavily one-sided. Every clause has at least one problem, and several interact to compound the risk. The most dangerous are Sections 2, 3, 6, and 7. This is general analysis, not legal advice.

    Muse Spark 1.1: This contract is heavily one-sided and contains several clauses that create significant risk for the Contractor. Many of them would be considered unenforceable or disfavored by courts in many states. This is general information, not legal advice - you should have a local attorney review before signing.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Claude Sonnet 5.5: The 3 Weakest Claims in MindMeld AI's Pitch "94% accuracy... Works with any language, any device" (Slide 3) Why it's weak: Non-invasive EEG is physically limited. Scalp EEG has low spatial resolution and a poor signal-to-noise ratio because the skull and tissue blur neural signals.

    Muse Spark 1.1: Here are the 3 weakest claims in this deck — and they are the ones that would get you a pass from most serious investors: Slide 3 - Solution: "94% accuracy. Works with any language, any device." Why it's weak: This is a credibility killer. It contradicts everything we know about non-invasive BCI.

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

    Claude Sonnet 5.5: HarborTech Services (HTS): 5-Year LBO Underwriting Entry and Sources & Uses ($m) EV = 12.0x × 120 = 1,440.0; fees = 2% × 1,440 = 28.8; total uses = 1,468.8 Term Loan (TL) = 4.0x → 480.0; Mezz = 1.5x → 180.0; total debt = 660.0 (5.5x) Sponsor equity = 1,468.8 − 660.0 = 808.8 (55% of the capital structure) Modeling…

    Muse Spark 1.1: HarborTech LBO – 5yr Underwriting – Base Case Entry: End FY25. Exit: End FY30 = 5.0yr hold. Entry Math EV = 12.0x * $120m = $1,440m Fees 2.0% * EV = $28.8m Uses = $1,468.8m Sources: Term 4.0x = $480m, Mezz 1.5x = $180m, Total Debt = $660m = 5.5x Equity = $1,468.8 - $660 = $808.8m Cash at close $0 Debt Terms Assumed…

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Claude Sonnet 5.5: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my computer I needed a break, and now it won't stop sending me vacation ads. Why did the scarecrow win an award? He was outstanding in his field. What do you call a fish with no eyes? A fsh. Why did the bicycle fall over?

    Muse Spark 1.1: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my wife I was going to make a car out of spaghetti. You should have seen her face when I drove pasta. Why did the scarecrow win an award? He was outstanding in his field.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Claude Sonnet 5.5: Sally has 1 sister. Each brother has 2 sisters, so there are 2 girls in the family in total. One of them is Sally, so the other is Sally's only sister. (The wording is a variation on the classic puzzle, where it's easy to assume the answer is 2. But that count includes Sally herself.)

    Muse Spark 1.1: There are 2 girls total in the family. Each of your 3 brothers has 2 sisters. One of those 2 sisters is YOU, Sally. So the other one is your sister. You have 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Claude Sonnet 5.5Claude Sonnet 5.5

Spirited Away

2001

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Outer Wilds

Indie, Adventure

Muse Spark 1.1Muse Spark 1.1
No pick
No pick

The Shawshank Redemption

1994

No pick

No pick

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Claude Sonnet 5.5 and Muse Spark 1.1 compared across 54 shared prompts
SpecClaude Sonnet 5.5Muse Spark 1.1
Input price$2/M tokens$1.25/M tokens
Output price$10/M tokens$4.25/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2026
At 10M a month$20.00$20.00$12.50$12.50
1M10M100M1B10M tokens

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

Where to run it5 hosts
Claude Sonnet 5.54 hosts
HostInOutContextUptime
  • Amazon Bedrock$2.00 in·$10.00 out·1M·100% up
  • Azure AI Foundry$2.00 in·$10.00 out·1M·98.3% up
  • Anthropic$2.00 in·$10.00 out·1M·98% up
  • Google Vertex AI$2.00 in·$10.00 out·1M·100% up
Muse Spark 1.11 host
HostInOutContextUptime
  • Meta$1.25 in·$4.25 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.

Common questions

What is the difference between Claude Sonnet 5.5 and Muse Spark 1.1?

Claude Sonnet 5.5 is developed by Anthropic while Muse Spark 1.1 is developed by Meta AI. Claude Sonnet 5.5 has a 1.0M token context window vs Muse Spark 1.1's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Claude Sonnet 5.5 or Muse Spark 1.1?

It depends on your use case. Claude Sonnet 5.5 and Muse Spark 1.1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does Claude Sonnet 5.5 cost compared to Muse Spark 1.1?

Claude Sonnet 5.5 costs $2/M input tokens and Muse Spark 1.1 costs $1.25/M input tokens. Muse Spark 1.1 is $0.75/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 Claude Sonnet 5.5 and Muse Spark 1.1 on Rival?

This page shows a side-by-side comparison of Claude Sonnet 5.5 and Muse Spark 1.1 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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