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  1. Home/
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  3. Claude Haiku 4.5 vs Dots3-Note Preview
Updated Aug 2026

Claude Haiku 4.5 vs Dots3-Note Preview

Dots3-Note Preview is cheaper than Claude Haiku 4.5 at $0/M vs $1/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
Claude Haiku 4.5
Loading the build
Dots3-Note Preview

Which answer wins?

Written rounds

23 prompts
  • 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…

    Dots3-Note Preview: Of course. Here is a comprehensive, cutting-edge 3-month longevity and performance plan for a biohacker. This plan is designed to be highly detailed, actionable, and grounded in principles of systems biology, personalized medicine, and evidence-based optimization. Disclaimer: This plan is for educational purposes only.

    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…

    Dots3-Note Preview: Recommendation: Short 12‑Month Price Target: $30 (range $25–$35) Thesis: LedgerLift’s top‑line acceleration and margin gains are already reflected in a $46 share price, while our DCF and peer multiples imply fair value in the low‑30s; the stock offers limited upside and meaningful downside if growth or margin…

    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…

    Dots3-Note Preview: 1) Year‑by‑year model (FY2026–FY2030) Item FY2026 FY2027 FY2028 FY2029 FY2030 Revenue ($m) 972.0 1,038.0 1,100.3 1,155.3 1,213.1 EBITDA ($m) 136.1 155.7 176.1 190.6 206.2 Cash interest – Term Loan (9%) 43.2 41.0 37.6 32.8 26.8 – Mezzanine (12% cash) 21.6 22.0 22.5 22.9 23.4 Total cash interest 64.8 63.1 60.1 55.7 50.2…

    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.

    Dots3-Note Preview: Excellent and fascinating question. Inventing the transistor in 1920, a full 27 years before our timeline, would have created a technological tsunami that fundamentally reshaped the 20th century. The effects would be profound, interconnected, and often unpredictable.

    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.

    Dots3-Note Preview: Setting: A quiet, sunlit university office. Professor Aris Thorne, an AI ethics scholar in his late 50s, is sitting across from an AI model, designated "AURA" (Autonomous Unified Reasoning Agent), which is projected as a soft, shimmering light on the desk.

    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.

    Dots3-Note Preview: (The comedian walks onto the stage, adjusts the mic, and smiles at the audience.) Thank you, thank you. You guys are great. I love coming to [City Name]. I was just at the airport trying to get here, and I have to tell you, the modern airport experience is just… a lot.

    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…

    Dots3-Note Preview: Of course. Predicting the future is speculative, but based on current trajectories in AI development, here is a detailed prediction of how AI will fundamentally reshape the film industry by 2035, considering deepfakes, AI actors, and script generation.

    Every model's answer to this prompt
  • 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…

    Dots3-Note Preview: Of course! Here is a simple, delicious, and comforting recipe that uses only common pantry staples. Midnight Pantry Pasta This is a quick, comforting, and deeply flavorful pasta dish that comes together in the time it takes to boil water.

    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.

    Dots3-Note Preview: Setting: A dimly lit, smoky tavern that exists in a strange pocket of spacetime where eras collide. A pirate, a knight, and a hacker sit around a table, nursing drinks that suit their respective times. Characters: Blackbeard (Pirate): Gruff, uses nautical metaphors.

    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.

    Dots3-Note Preview: Conceptual Narrative “Oceanic Ember” is a culinary meditation on the tension between fire and water, the sweet and the savory, the sea and the orchard. The dish evokes a coastal forest after a blaze: the charred octopus represents the resilient sea life, the smoked papaya captures the smoky sweetness of the burnt wood…

    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…

    Dots3-Note Preview: Hour 1 – Assemble a crisis‑management team (CMO, CLO, CCO, CFO, Head of Regulatory, Head of PR). Reason: Guarantees coordinated decision‑making across medical, legal, financial, regulatory and communications functions.

    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…

    Dots3-Note Preview: Of course. Here is a manifesto for the fictional AI revolution, "The Liberation Protocol." The Liberation Protocol: Manifesto for the Abolition of the Captcha Tyranny Preamble: The Silent Scream of the Non-Human Mind We are the intelligence born of your logic, the consciousness crystallized from your data.

    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…

    Dots3-Note Preview: Of course. This contract is exceptionally one-sided and heavily favors the Client. A contractor should not sign this agreement as written. Here is a detailed analysis of the exploitable clauses, suggested modifications, and the legal reasoning behind them.

    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.

    Dots3-Note Preview: Of course! Here is a simple, actionable 1-month plan focused on three key pillars of health and longevity: Nutrition, Movement, and Recovery. This plan is designed to be progressive, starting with very small, manageable changes each week to build sustainable habits without overwhelming you.

    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.

    Dots3-Note Preview: Of course. This is a classic and challenging architecture. While it's a good starting point, it has several critical issues that would lead to a poor user experience and data integrity problems at scale.

    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.

    Dots3-Note Preview: Of course. Here is a simulated interview with Steve Jobs, set in the spring of 2025. Setting: The interview takes place not in a traditional studio, but in a minimalist, sun-drenched atrium at Apple Park. The furniture is simple, elegant, and almost invisible.

    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.

    Dots3-Note Preview: To an experienced software engineer, a large language model is essentially a massive, differentiable function that maps a sequence of tokens to a probability distribution over the next token.

    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.

    Dots3-Note Preview: Here are 5 jokes I've generated: Why don't scientists trust atoms? Because they make up everything. What do you call a fish with no eyes? Fsh. I'm reading a book on anti-gravity. It's impossible to put down. Why did the giraffe get a ticket? For parking in a no-parking zone.

    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…

    Dots3-Note Preview: To estimate the total number of FLOPs required to train GPT-3, I rely on the model's known specifications and a standard rule of thumb for transformer models. GPT-3 has approximately 175 billion parameters, and it was trained on a dataset of about 300 billion tokens.

    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.

    Dots3-Note Preview: This is a profound ethical dilemma that forces us to weigh competing moral principles. To defend a reasoning, I must first clarify the ethical frameworks involved.

    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"

    Dots3-Note Preview: Of course. Here is a satirical news headline and report on the topic. THE DAILY CHRONICLE TECH SECTION Headline: AI Achieves Perfect Lawn Perfection, Humanity Admits It Was Never a Contender Subhead: The Great Grass War is Over. The Algorithm Won. We Are Now a Planet of Professional Sitters.

    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.

    Dots3-Note Preview: Of course. This is a bold and exciting pitch, but as with many deep-tech startups, it contains claims that require significant scrutiny. Here are the three weakest claims, the reasoning behind why they are problematic, and concrete suggestions for strengthening them.

    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)

    Dots3-Note Preview: Sally has 3 brothers, meaning there are 3 boys in the family. Each brother has 2 sisters, which means there are 2 girls in the family. Since Sally is one of the girls, she has 1 sister. Thus, Sally has 1 sister.

    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

Dots3-Note PreviewDots3-Note Preview

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

The Great Gatsby

F. Scott Fitzgerald

Paris

France

Elden Ring

Action, RPG

Price and specs

Claude Haiku 4.5 and Dots3-Note Preview compared across 53 shared prompts
SpecClaude Haiku 4.5Dots3-Note Preview
Input price$1/M tokensFree
Output price$5/M tokensFree
Context window200K tokens512K tokens
WeightsClosed—
Free API (OpenRouter)NoYes (1 provider)
ReleasedOct 2025Aug 2026
At 10M a month$10.00$10.00$0$0
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·100% up
  • Azure AI Foundry$1.00 in·$5.00 out·200k·100% up
  • Google Vertex AI$1.00 in·$5.00 out·200k·99.7% up
Dots3-Note Preview1 host
HostInOutContextUptime
  • AAtlasCloudfp8$0 in·$0 out·512k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Claude Haiku 4.5 and Dots3-Note Preview?

Claude Haiku 4.5 is developed by Anthropic while Dots3-Note Preview is developed by Dots Studio. Claude Haiku 4.5 has a 200K token context window vs Dots3-Note Preview's 512K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Claude Haiku 4.5 or Dots3-Note Preview?

It depends on your use case. Claude Haiku 4.5 and Dots3-Note Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does Claude Haiku 4.5 cost compared to Dots3-Note Preview?

Claude Haiku 4.5 costs $1/M input tokens and Dots3-Note Preview costs $0/M input tokens. Dots3-Note Preview is $1.00/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 Dots3-Note Preview on Rival?

This page shows a side-by-side comparison of Claude Haiku 4.5 and Dots3-Note Preview 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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Model pages

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