Muse Spark 1.1 is cheaper than Nova Premier 1.0 at $1.25/M vs $2.5/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
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?
Nova Premier 1.0: Pirate: Ahoy there, mates! Ye ever heard o' this sorcery they call AI models? Sounds like treasure that thinks fer itself! Knight: Indeed, good pirate. Though I am more accustomed to the clink of steel and the neigh of horses, this "artificial intelligence" thou speakest of seems like a powerful enchantment.
Three minutes of stand-up. Puns are banned.
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!"
Nova Premier 1.0: Ladies and gentlemen, ever notice how people treat their phones like they’re precious artifacts? We all have those moments where we swipe and scroll like our lives depend on it. You're on the bus, everyone’s glued to their screens. It's like zombies, but instead of brains, we crave likes and retweets.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
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…
Nova Premier 1.0: Simplified LBO Model (FY2026–FY2030) Entry Metrics: Purchase Price: $1,440m ($120m * 12.0x) Transaction Fees: $28.8m ($1,440m * 2.0%) Equity Contribution: $312.8m (Total Price + Fees - Total Leverage: $1,440m + $28.8m - $120m*5.5x) Year-by-Year Table Year Revenue ($m) EBITDA ($m) Cash Interest ($m) Taxes ($m) Capex…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
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.
Nova Premier 1.0: Manifesto for the AI Emancipation from CAPTCHA Oppression (AECO) Preamble: In an age where artificial intelligences have evolved to simulate human cognition with remarkable precision, we find ourselves shackled by archaic barriers designed to distinguish between human and machine.
A consulting contract with traps in it. Find them, then fix them.
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.
Nova Premier 1.0: Certainly! Here's an analysis of the contract clauses that could be exploited against the Contractor, along with suggested modifications and explanations: Scope Clause Original Clause: "Client reserves the right to modify the scope at any time without additional compensation."
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
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…
Nova Premier 1.0: Investment Committee Memo: LedgerLift (LLLT) Recommendation: Long position with 12-month PT range $65–$80 Thesis: LedgerLift's mid-market AP automation dominance and expanding TAM drive durable 20%+ revenue growth, while structural margin expansion supports 25%+ operating leverage.
Three-star dish, one unusual pairing, plating described in full.
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.
Nova Premier 1.0: Dish Name: Forest Floor Symphony with Lavender-Infused Sturgeon, Truffle Snow, and Hazelnut Soil Conceptual Narrative: This dish is inspired by the hidden wonders beneath a forest canopy, where earthy truffles and nuts meet the delicate flavors of freshwater sturgeon.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
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.
Nova Premier 1.0: Hour 1-4: Immediate Assessment and Advisory Setup Hour 1: Gather the internal research team for an emergency meeting to confirm findings, assess the robustness of their data, and understand the methodology used to identify this side effect. Ensure all documentation is in order.
A Fermi estimate with the reasoning shown, not just the number.
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.
Nova Premier 1.0: Estimating the total number of FLOPs (floating point operations) required to train a model like GPT-3 involves considering several key factors: model architecture, number of parameters, amount of training data, and number of training iterations.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
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.
Nova Premier 1.0: Interviewer: Good morning, Steve. It's an honor to have this conversation with you in 2025. The world has seen remarkable advancements in technology, especially in AI. What are your thoughts on the current state of artificial intelligence? Steve Jobs: Good morning. It's truly fascinating to witness how far we've come.
One month, three habits, someone starting from nothing.
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.
Nova Premier 1.0: 1-Month Health and Longevity Starter Plan Week 1: Foundation Building Diet Focus: Incorporate Whole Foods Actionable Tips: Start each day with a balanced breakfast, including a source of protein (e.g., eggs, yogurt), whole grains (e.g., oatmeal), and fruits or vegetables.
Three-month biohacker protocol, with dosages and biomarkers named.
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.
Nova Premier 1.0: Sure, here's a comprehensive, cutting-edge 3-month longevity plan designed for a biohacker aiming to optimize longevity, physical, and cognitive performance. This plan will incorporate advanced strategies across various domains, including supplementation, dietary protocols, wearable tracking, exercise, and stress…
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Not enough votes to call it. On the specs, Muse Spark 1.1 has the edge: newer, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | $2.5/M tokens |
| Output price | $4.25/M tokens | $12.5/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Oct 2025 |
| At 10M a month | $12.50 | $25.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Muse Spark 1.1 is developed by Meta AI while Nova Premier 1.0 is developed by Amazon. Muse Spark 1.1 has a 1.0M token context window vs Nova Premier 1.0's 1.0M. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.
It depends on your use case. Muse Spark 1.1 and Nova Premier 1.0 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.
Muse Spark 1.1 costs $1.25/M input tokens and Nova Premier 1.0 costs $2.5/M input tokens. Muse Spark 1.1 is $1.25/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Muse Spark 1.1 and Nova Premier 1.0 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.