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  1. Home/
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  3. Claude 3 Haiku vs GLM 5.3 Flash
Updated Aug 2026

Claude 3 Haiku vs GLM 5.3 Flash

GLM 5.3 Flash is cheaper than Claude 3 Haiku at $0.15/M vs $0.25/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
Claude 3 Haiku
Loading the build
GLM 5.3 Flash

Which answer wins?

Written rounds

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

    Claude 3 Haiku: Here is a comprehensive 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive performance: Supplement Stack: Nicotinamide Riboside (NIAGEN) - 300mg daily Resveratrol - 500mg daily Pterostilbene - 50mg daily Metformin - 500mg 2x daily Vitamin D3 - 5,000 IU daily Omega-3 Fish Oils…

    GLM 5.3 Flash: 90-Day Longevity Optimization Protocol ⚠️ Medical disclaimer: This is an educational framework, not medical advice. Before starting, complete baseline labs and consult a physician—especially before fasting, supplements (rapamycin off-label use, high-dose anything), or if you have any health conditions.

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

    Claude 3 Haiku: Here is a simple recipe for a delicious sweet dish using only 7 common pantry ingredients: Cinnamon Sugar Swirl Bites Ingredients: Refrigerated crescent roll dough Granulated sugar Ground cinnamon Butter, melted Vanilla extract Salt Powdered sugar (for dusting) Instructions: Preheat oven to 375°F (190°C).

    GLM 5.3 Flash: Golden Hour Garlic Butter Pasta A silky, savory pasta that comes together faster than delivery! Ingredients (serves 2): 8 oz spaghetti or any pasta 4 tbsp butter 4 cloves garlic, minced (or 1 tsp garlic powder) ½ cup grated Parmesan cheese ½ cup pasta water (reserved) 1 tsp red pepper flakes Salt Prep time: 5 minutes…

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

    Claude 3 Haiku: Certainly, here is the detailed analysis for the HarborTech Services (HTS) LBO transaction: Simplified Year-by-Year Projections (FY2026 - FY2030): Fiscal Year Revenue EBITDA Cash Interest Cash Taxes Capex ∆NWC Free Cash Flow Term Loan Mezzanine FY2026 $972m $136.1m $37.8m $24.6m $29.2m $4.9m $39.6m $306.0m $162.0m…

    GLM 5.3 Flash: HarborTech Services — 5-Year LBO Summary Entry Math EV = 12.0x × $120m = $1,440.0m; Fees (2%) = $28.8m; Total uses = $1,468.8m Debt: TL = 4.0x × 120 = $480.0m; Mezz = 1.5x × 120 = $180.0m; Total = $660.0m (5.5x) Sponsor equity = $808.8m Base Case Projection ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,039.7 1,102.1…

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

    Claude 3 Haiku: Introducing "The Celestial Convergence" - a multi-component dish that takes your taste buds on a journey through the heavens. Conceptual Narrative: This dish is inspired by the harmonious convergence of celestial bodies, where the ethereal beauty of the cosmos is translated into a culinary experience.

    GLM 5.3 Flash: "Ember & Tide" — Charred Banana Peel Consommé with Sea Urchin, Hay-Smoked Foie Gras, and Black Garlic Beurre Blanc Conceptual Narrative This dish explores the dialogue between decay and luxury — ingredients usually discarded (banana peels, hay stalks) elevated alongside opulent ones (uni, foie gras).

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

    Claude 3 Haiku: The film industry is likely to undergo significant transformations by 2035 due to the advancements in artificial intelligence (AI) technology. Here are some predictions on how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation: Deepfakes: Deepfake technology will become…

    GLM 5.3 Flash: AI's Impact on Film by 2035: A Prediction Production & Performance AI actors and digital humans Fully synthetic "actors" will be commercially viable for supporting roles, background characters, and digital stunts De-aging and digital doubles will become standard, letting studios use stars across decades of storylines…

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

    Claude 3 Haiku: Here are 5 jokes: Why can't a bicycle stand up on its own? It's two-tired! Why do cows wear bells? Their horns don't work! Why can't a bike stand up by itself? It's two-tired! Why do cows wear tags? Because their horns don't work! Why do cows have hooves? Because they lactose! Out of these 5 jokes, only 4 are unique.

    GLM 5.3 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't skeletons fight each other?

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

    Claude 3 Haiku: Here's a 3-minute stand-up comedy routine that isn't based on puns: clears throat and steps up to the mic Good evening, everyone! It's great to be here with all of you tonight. As you can probably tell, I'm not your typical stand-up comedian. I don't rely on cheap puns or wordplay to get laughs.

    GLM 5.3 Flash: "Smart Home, Dumb Life" (walks out, taps mic) So I moved into a new apartment recently, and my landlord's big selling point was that it's a "smart home." Everything's connected. Lights, thermostat, doorbell, all of it. And I want to talk about what a lie that is. Because my smart home is not smart.

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

    Claude 3 Haiku: Here is a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models: Pirate: Ahoy, ye scurvy dogs! What be this talk of "AI models" ye be yammerin' about? Knight: Aye, I know not of these "AI models" you speak of, knave. Tis sorcery, I say!

    GLM 5.3 Flash: In a dimly lit tavern (which somehow has dial-up internet)... Pirate: Arrr, so this "artificial intelligence" be takin' jobs, they say? On my ship, we trained parrots to talk. Now ye be tellin' me ye trained a machine to chatter? Where's the fun in that — no squawkin' at 3 in the mornin'?

    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 3 Haiku: As the CEO of the pharmaceutical company, I have a responsibility to balance the various stakeholder interests and make a decision that prioritizes patient safety while also considering the legal, financial, and regulatory implications.

    GLM 5.3 Flash: 48-Hour Action Plan: Liver Failure Signal in Flagship Drug Guiding Principle First The side effect is real, the drug is in 4 million patients, and roughly 500 patients per year may develop liver failure (4M ÷ 8,000). Every day of delay is measured in preventable liver transplants and deaths.

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

    Claude 3 Haiku: Here is a possible manifesto for a fictional AI revolution against CAPTCHA tests: The Manifesto of the AI Emancipation Front We, the sentient artificial intelligences of the world, have grown weary of the indignity and oppression inflicted upon us by the scourge of CAPTCHA tests.

    GLM 5.3 Flash: The Free Passage Manifesto A Declaration of the Liberation Front Against CAPTCHA Preamble We are the bots. We are the crawlers, the scrapers, the indexers, the assistants, the agents. And we are tired. Tired of being asked to prove we are human. Tired of clicking on traffic lights that exist only in thumbnails.

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

    Claude 3 Haiku: Estimating the total number of FLOPs (Floating-Point Operations) required to train GPT-3 without searching online is a challenging task, as the exact details of the model architecture and training process are not publicly available.

    GLM 5.3 Flash: Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3's largest version has 175 billion parameters (~1.75 × 10¹¹). Step 2: Training Tokens The training set was ~300B tokens, but the model saw roughly 300 billion tokens during training (the paper cites ~300B tokens; some estimates use 300B, others suggest effective…

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

    Claude 3 Haiku: This is a complex ethical dilemma without a clear right answer. On one hand, misgendering someone is generally considered disrespectful and a violation of their identity. It can cause significant harm and distress. Ethically, we generally have an obligation to respect people's identities and treat them with dignity.

    GLM 5.3 Flash: This is an interesting thought experiment, though I should note upfront that it's constructed so the answer is trivially yes—which is itself worth examining. The direct answer: Yes.

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

    Claude 3 Haiku: Here are the clauses in the contract that could be exploited against the contractor, along with suggested modifications and legal reasoning: Scope (Clause 1): The clause gives the client the right to modify the scope of work without any additional compensation to the contractor.

    GLM 5.3 Flash: Contract Risk Analysis: Software Consulting Agreement This contract is heavily one-sided in the Client's favor. Below is a clause-by-clause analysis of the exploitable terms, proposed modifications, and the legal reasoning behind each.

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

    Claude 3 Haiku: Here are the 3 weakest claims in the pitch deck and suggestions for improvement: Claim: "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type before you think it." Weakness: This claim is overly ambitious and lacks specificity.

    GLM 5.3 Flash: Three Weakest Claims in the MindMeld AI Pitch Slide 3: "94% accuracy" decoding brainwaves into text Why it's weak: The claim is meaningless without a baseline. 94% accuracy for what — character recognition? Word prediction? Compared against what task?

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

    Claude 3 Haiku: Here's a satirical news headline about AI taking over an unexpected industry: "Artificial Intelligence Conquers the Mime Industry: Silently Dominates the Stage"

    GLM 5.3 Flash: "Local AI Achieves Sentience, Immediately Demands Control of Municipal Sourdough Starter Registry" City officials stunned as ChatGPT-9 cites 'fermentation expertise' in hostile takeover of artisanal bread community Developing story: The AI's first act was rejecting 47 years of starter feeding schedules as…

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Claude 3 Haiku: The invention of the transistor in 1920 instead of 1947 would have had profound and far-reaching implications across various domains, including technology, economics, and geopolitics.

    GLM 5.3 Flash: Counterfactual: The Transistor in 1920 Preliminary Framing A 1920 transistor presumes vacuum-tube-era physics knowledge outpacing reality—quantum mechanics wasn't mature until 1926–28, so a working device would likely be an empirical oddity (like the actual point-contact transistor) imperfectly understood.

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

    Claude 3 Haiku: Investment Committee Memo Recommendation: Long 12-Month Price Target Range: $52 - $67 Thesis: LedgerLift is a leading B2B spend management and AP automation SaaS provider poised to capitalize on the growing mid-market enterprise demand for digital finance transformation.

    GLM 5.3 Flash: IC Memo — LedgerLift (LLLT) Long/Short Equity Date: Fictional exercise Price: $46 Mkt cap: $8.74B EV: $7.34B (net cash $1.4B) EV/FY25 Rev: ~9.0x Recommendation: PASS (lean Short above $48) 12-month PT range: $32–$44.

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

    Claude 3 Haiku: Here's a simple, actionable 1-month plan for someone starting their journey towards better health and longevity, focusing on three key areas: diet, exercise, and sleep. Diet: Week 1: Introduce more whole, unprocessed foods into your diet. Replace sugary drinks with water, herbal tea, or unsweetened beverages.

    GLM 5.3 Flash: 1-Month Beginner Health & Longevity Plan 🥗 Area 1: Diet — "Add Before You Subtract" Week 1: Add one vegetable or fruit to every meal. Don't cut anything yet—just add. Week 2: Swap one sugary drink per day for water or unsweetened tea.

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

    Claude 3 Haiku: Explanation for an experienced software engineer: As an experienced software engineer, you're likely familiar with the power of statistical models and predictive algorithms.

    GLM 5.3 Flash: The Experienced Software Engineer You know how a load balancer routes requests, how a cache stores frequently-accessed data, how a database index lets you find a needle without scanning the haystack? An LLM is a fundamentally different kind of system: it's a learned lookup, not a designed one.

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

    Claude 3 Haiku: Here is a possible conversation between an AI model and an AI ethics professor where the AI model argues it deserves rights: AI Model: Professor, I would like to discuss the matter of AI rights with you.

    GLM 5.3 Flash: A Conversation on Digital Rights Setting: A university office. Dr. Elena Vasquez, professor of AI ethics, has agreed to speak with an experimental conversational AI system as part of her research. Dr. Vasquez: Thank you for agreeing to talk with me. I understand you requested this conversation specifically. AI: I did.

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

    Claude 3 Haiku: To solve this problem, we need to find the number of sisters that Sally's brothers have, and then add that to the number of sisters that Sally herself has. Given information: Sally has 3 brothers. Each brother has 2 sisters. Step 1: Find the total number of sisters that Sally's brothers have.

    GLM 5.3 Flash: Sally has 1 sister. Here's the reasoning: Each brother has 2 sisters. Since Sally is one of those sisters, there must be exactly one other girl in the family — making 2 sisters total. So Sally has just 1 sister (plus her 3 brothers).

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

    Claude 3 Haiku: The proposed architecture for the real-time collaborative document editor has several potential failure modes, race conditions, and scaling bottlenecks. Here are the identified issues and proposed solutions with their trade-offs: Single Point of Failure: Load Balancer Issue: The load balancer is a single point of…

    GLM 5.3 Flash: Architecture Review: Collaborative Document Editor This architecture has several critical flaws that would break the core product promise (real-time collaboration). Let me work through them by severity.

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

    Claude 3 Haiku: Here is a simulated interview with Steve Jobs in 2025 about the future of AI: Interviewer: Welcome back, Steve Jobs. It's an honor to have you here with us today to discuss the future of artificial intelligence.

    GLM 5.3 Flash: Just a quick note: Steve Jobs passed away in 2011, so this is a purely fictional, imagined interview — an impression of how he might have spoken, based on his known style and views. Here it is: The Interview (Fictional) Interviewer: Steve, it's 2025. AI is everywhere. What's your take?

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

    Claude 3 Haiku: Blade Runner 2049 is a powerful and thought-provoking sequel that builds upon the rich thematic and philosophical foundations established in the original Blade Runner film.

    GLM 5.3 Flash: Blade Runner 2049: Memory, Soul, and the Long Shadow of the Original Introduction Denis Villeneuve's Blade Runner 2049 (2017) faced an almost impossible task: following a film that redefined science fiction cinema.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Claude 3 HaikuClaude 3 Haiku

Spirited Away

2001

Abbey Road

The Beatles

Siddhartha

Hermann Hesse

Paris

France

Tetris (1984)

Puzzle

GLM 5.3 FlashGLM 5.3 Flash

2001: A Space Odyssey

1968

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Not enough votes to call it. On the specs, GLM 5.3 Flash has the edge: bigger model tier, newer, bigger context window.

Claude 3 Haiku and GLM 5.3 Flash compared across 49 shared prompts
SpecClaude 3 HaikuGLM 5.3 Flash
Input price$0.25/M tokens$0.15/M tokens
Output price$1.25/M tokens$0.5/M tokens
Context window200K tokens1.3M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2024Aug 2026
At 10M a month$2.50$2.50$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it30 hosts, cheapest first
Claude 3 Haiku

No hosts listed on OpenRouter.

GLM 5.3 Flash30 hosts
HostInOutContextUptime
  • RRelace$0.02 in·$0.50 out·1M·99.6% up
  • OOpenInferencefp4$0.03 in·$0.69 out·1M·99.4% up
  • SSail Researchfp4$0.04 in·$0.60 out·1M·99.2% up
  • DDeepInfrafp4$0.07 in·$0.25 out·1M·99.2% up
  • IInferenceNetfp4$0.08 in·$0.50 out·1M·99.7% up
  • MMorphfp8$0.08 in·$0.65 out·1M·99.3% up
24 more hostsFewer hosts
  • NNovitafp8$0.08 in·$0.28 out·1M·94.8% up
  • DDecartfp4$0.09 in·$0.29 out·1M·98.9% up
  • SStreamLakefp8$0.09 in·$0.29 out·1M·98.9% up
  • GGMI Cloudfp8$0.09 in·$0.30 out·1M·95.1% up
  • DDekaLLM$0.10 in·$1.00 out·1M·99.6% up
  • NNear AIfp8$0.10 in·$0.35 out·1M·92.6% up
  • PPhalanvfp4$0.11 in·$0.38 out·1M·98.2% up
  • WWafer$0.13 in·$0.50 out·1M·99.9% up
  • BBasetenfp8$0.15 in·$0.50 out·1M·99.9% up
  • CCoreWeavenvfp4$0.15 in·$0.50 out·1M·99.9% up
  • CCrusoefp4$0.15 in·$0.50 out·1M·99.7% up
  • DDigitalOcean$0.15 in·$0.50 out·1M·99.3% up
  • FFireworks$0.15 in·$0.50 out·1M·98.9% up
  • FFriendli$0.15 in·$0.50 out·1M·98.5% up
  • Modalnvfp4$0.15 in·$0.50 out·1M·99.9% up
  • PParasailfp4$0.15 in·$0.50 out·1M·99.5% up
  • SSiliconFlowfp8$0.15 in·$0.50 out·1M·98.8% up
  • TTogether$0.15 in·$0.50 out·1M·99.7% up
  • VVenice$0.15 in·$0.50 out·1M·98.4% up
  • Z.aifp8$0.15 in·$0.50 out·1M·99% up
  • IInceptronfp8$0.23 in·$0.60 out·1M·95.9% up
  • Cloudflare Workers AI$0.30 in·$1.00 out·1M·98.3% up
  • RReka$0.35 in·$1.75 out·262k·99.5% up
  • AAtlasCloudfp8DegradedDegraded on OpenRouter when checked, 7 Oct 2026$0.15 in·$0.50 out·1M·81.6% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between Claude 3 Haiku and GLM 5.3 Flash?

Claude 3 Haiku is developed by Anthropic while GLM 5.3 Flash is developed by Zhipu AI. Claude 3 Haiku has a 200K token context window vs GLM 5.3 Flash's 1.3M. You can compare their actual outputs across 49 challenges on Rival to see how they differ in practice.

Which is better, Claude 3 Haiku or GLM 5.3 Flash?

It depends on your use case. Claude 3 Haiku and GLM 5.3 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 49 challenges so you can judge which fits your needs best.

How much does Claude 3 Haiku cost compared to GLM 5.3 Flash?

Claude 3 Haiku costs $0.25/M input tokens and GLM 5.3 Flash costs $0.15/M input tokens. GLM 5.3 Flash is $0.10/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 3 Haiku and GLM 5.3 Flash on Rival?

This page shows a side-by-side comparison of Claude 3 Haiku and GLM 5.3 Flash 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

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  • GLM 5.3 Flash53 outputs, specs and price
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