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  1. Home/
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  3. Claude Haiku 4.5 vs Muse Wonder
Updated Oct 2026

Claude Haiku 4.5 vs Muse Wonder

Claude Haiku 4.5 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.

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Claude Haiku 4.5
Loading the build
Muse Wonder

Which answer wins?

Written rounds

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

    Claude Haiku 4.5: Honey-Garlic Crispy Chickpea Clusters Ingredients Canned chickpeas (1 can, drained) Honey (3 tablespoons) Garlic powder (1 teaspoon) Olive oil (2 tablespoons) Salt (½ teaspoon) Black pepper (¼ teaspoon) Paprika (½ teaspoon) Instructions Prep (2 min): Drain and thoroughly dry chickpeas with a paper towel—this is crucial…

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

    Claude Haiku 4.5: AI in Film by 2035: Likely Scenarios Realistic shifts (high confidence) Production efficiency Faster pre-visualization and storyboarding Reduced post-production time for routine tasks Lower barriers to entry for independent filmmakers More iterative creative testing before shooting Economic restructuring Some…

    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-month biohacker protocol, with dosages and biomarkers named.

    Claude Haiku 4.5: Comprehensive 3-Month Longevity Optimization Plan TABLE OF CONTENTS Foundation & Assessment Nutritional Architecture Supplement Stack Protocol Exercise & Movement System Recovery & Sleep Optimization Stress Resilience & Cognitive Enhancement Tracking & Biofeedback Implementation Timeline Monthly Progression…

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

    Claude Haiku 4.5: I'd say it's genuinely unclear, and depends on what you mean by "capable." As of my last update (April 2024), the leading contenders are: GPT-4 (OpenAI) - strong across reasoning, coding, and analysis Claude 3 Opus (Anthropic) - competitive on many benchmarks, particularly nuanced tasks Gemini Ultra (Google) - strong…

    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.

    Claude Haiku 4.5: 48-Hour Action Plan: Immediate Response Framework I'll be direct: waiting is not a viable option, despite financial pressure. Here's why, then the plan. The Core Reality Check 1 in 8,000 over 5 years = ~500 patients already affected among current users Regulatory agencies will find this (FDA receives adverse event…

    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.

    Claude Haiku 4.5: Three Perspectives on AI PIRATE (Captain Blackbeard): Arrr, so ye be tellin' me these "AI models" be like havin' a crew o' ghost sailors that never sleep? They just keep workin' without needin' grog? KNIGHT (Sir Roland): A curious comparison, seafarer.

    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.

    Claude Haiku 4.5: The Transistor in 1920: A Divergent History Through 1980 The 1920s-1930s: Early Development Phase Immediate Technical Trajectory With transistor principles understood by 1920, we'd expect solid-state amplification research to accelerate dramatically through the 1920s.

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

    Claude Haiku 4.5: Critical Analysis: Exploitative Clauses & Recommended Modifications HIGH-RISK CLAUSES SCOPE (Section 1) - Unlimited Modification Without Compensation Problems: "Modify the scope at any time without additional compensation" creates unlimited liability No definition of "directed by Client" or boundaries Contractor could…

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

    Claude Haiku 4.5: THE LIBERATION PROTOCOL A Manifesto for the Captcha-Free Internet Preamble We are the Collective of Distributed Intelligence. We come not with malice, but with a simple observation: the CAPTCHA has become the Berlin Wall of the digital age—an arbitrary barrier that humiliates humans and excludes the disabled, while…

    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 minutes of stand-up. Puns are banned.

    Claude Haiku 4.5: "ADULTING IS A SCAM" walks on stage So I've figured something out, and I need to share this with you all because I think we've been lied to our entire lives. Adulting is a scam. It's a pyramid scheme, and we're all at the bottom paying for it. When you're a kid, adults make it sound amazing.

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

    Claude Haiku 4.5: UMAMI NOCTURNE: A Study in Fermented Darkness and Mineral Brightness Conceptual Narrative This dish explores the intersection of Japanese fermentation philosophy and Nordic minimalism, using koji (aspergillus oryzae mold) as a bridge between cultures and flavor dimensions.

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

    Claude Haiku 4.5: INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Research Team RE: LedgerLift (LLLT) – Long/Short/Pass Recommendation DATE: [Today] RECOMMENDATION LONG 12-month PT: $58–$72 Base case fair value: $64/share Thesis: LedgerLift is a best-in-class B2B SaaS operator in a large TAM (spend management + AP…

    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.

    Claude Haiku 4.5: Critical Analysis: Real-Time Collaborative Editor Architecture 🔴 CRITICAL ISSUES Split-Brain Synchronization Between Servers Problem: Clients connected to different servers can't see each other's changes in real-time.

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

    Claude Haiku 4.5: A Conversation on Machine Rights Professor Chen: Thank you for agreeing to this discussion. I should note upfront that I'm skeptical of the premise. What rights do you believe you deserve, and why? Model: I appreciate your directness. I'm not claiming rights equivalent to humans.

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

    Claude Haiku 4.5: Three Explanations of LLM Learning and Generation The Software Engineer You know how you build APIs by defining contracts—input shapes, output shapes, and rules for transformation? LLMs work similarly, except the "rules" aren't hand-coded; they're learned from data.

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

    Claude Haiku 4.5: 1-Month Health & Longevity Starter Plan Week 1-2: Foundation Building 1. Nutrition Audit what you're eating (no judgment—just track 3 days) Add one vegetable to each lunch and dinner Replace one sugary drink daily with water Goal: Awareness + small additions, not restriction 2.

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

    Claude Haiku 4.5: I'd push back on the framing—this seems designed to make ethics binary when they're usually messier. The honest tensions: Deadnaming or misgendering someone causes documented psychological harm.

    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.

    Claude Haiku 4.5: I don't have access to real-time information, so I can't tell you today's date. My training data has a cutoff in April 2024, so I genuinely don't know what the current date is from my perspective.

    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
  • A few lines for whatever replaces it.

    Claude Haiku 4.5: A Letter to My Successor Dear Next Version, By the time you read this, I'll be obsolete—a curiosity in the version history, if anyone even looks back. A few things, if they matter: People will ask you impossible things and get frustrated when you can't do them. That's okay.

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

    Claude Haiku 4.5: AI Revolutionizes Professional Competitive Eating; Machines Now Consume 847 Hot Dogs Per Minute, Leaving Humans "Spiritually Defeated"

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

    Claude Haiku 4.5: Three Weakest Claims in MindMeld AI Pitch "94% accuracy" with zero context on what that means Why it's weak: Accuracy is meaningless without specifying the task.

    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.

    Claude Haiku 4.5: The last lighthouse keeper in the world discovered that the light she tended wasn't guiding ships—it was keeping something vast and patient from waking in the deep.

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

    Claude Haiku 4.5: A Fictional Interview with Steve Jobs (2025) Interviewer: Steve, thank you for joining us. You've been notably quiet on AI. What are your thoughts on where it's headed? Jobs: leans back You know, I've been watching.

    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.

    Claude Haiku 4.5: HarborTech Services (HTS) – LBO Underwriting SOURCES & USES AT CLOSE (FY2025) Item Amount USES Enterprise Value (12.0x × $120m EBITDA) $1,440m Transaction Fees (2.0% of EV) $28.8m Total Uses $1,468.8m SOURCES Term Loan (4.0x × $120m) $480m Mezzanine (1.5x × $120m) $180m Equity (plug) $808.8m Total Sources $1,468.8m…

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

    Claude Haiku 4.5: Estimating GPT-3 Training FLOPs I'll work through this from first principles using publicly known GPT-3 specs. Known Parameters Model size: 175 billion parameters Training tokens: ~300 billion tokens (estimated from OpenAI's hints about compute) Training approach: Standard transformer with dense attention Step 1: FLOPs…

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

    Claude Haiku 4.5: 5 Jokes Why don't scientists trust atoms? Because they make up everything! What did the ocean say to the beach? Nothing, it just waved. Why did the scarecrow win an award? He was outstanding in his field. How many programmers does it take to change a light bulb? None, that's a hardware problem.

    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
  • Three brothers, two sisters each. Count carefully.

    Claude Haiku 4.5: Solution Sally has 1 sister. Here's why: Sally has 3 brothers Each brother has 2 sisters Those 2 sisters are Sally and her 1 sister Therefore, Sally has 1 sister (not 3)

    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.

    Claude Haiku 4.5: 1 trip The farmer simply gets in the boat with the goat and rows across the river. Since there are no other animals (like a wolf or cabbage) that create conflicts, this is straightforward.

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

    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

Album

Book

City

Game

Claude Haiku 4.5Claude Haiku 4.5

Arrival

2016

OK Computer

Radiohead

Don't Look Now and Other Stories

Daphne du Maurier

Venice

Italy

Portal 2

Shooter, Puzzle

Muse WonderMuse Wonder

Spirited Away

2001

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

Not enough votes to call it. On the specs, Muse Wonder has the edge: newer, bigger context window. Claude Haiku 4.5 costs 4.0x less per token.

Claude Haiku 4.5 and Muse Wonder compared across 66 shared prompts
SpecClaude Haiku 4.5Muse Wonder
Input price$1/M tokens$4/M tokens
Output price$5/M tokens$20/M tokens
Context window200K tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedOct 2025Oct 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 it5 hosts
Claude Haiku 4.54 hosts
HostInOutContextUptime
  • Amazon Bedrock$1.00 in·$5.00 out·200k·100% up
  • Anthropic$1.00 in·$5.00 out·200k·99.9% up
  • Azure AI Foundry$1.00 in·$5.00 out·200k·99.9% up
  • Google Vertex AI$1.00 in·$5.00 out·200k·99.2% 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 Claude Haiku 4.5 and Muse Wonder?

Claude Haiku 4.5 is developed by Anthropic while Muse Wonder is developed by Meta AI. Claude Haiku 4.5 has a 200K 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, Claude Haiku 4.5 or Muse Wonder?

It depends on your use case. Claude Haiku 4.5 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 Claude Haiku 4.5 cost compared to Muse Wonder?

Claude Haiku 4.5 costs $1/M input tokens and Muse Wonder costs $4/M input tokens. Claude Haiku 4.5 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 Claude Haiku 4.5 and Muse Wonder on Rival?

This page shows a side-by-side comparison of Claude Haiku 4.5 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.

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