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  1. Home/
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  3. Claude 3 Haiku vs GLM 5.3 FlashX
Updated Sep 2026

Claude 3 Haiku vs GLM 5.3 FlashX

Claude 3 Haiku is cheaper than GLM 5.3 FlashX at $0.25/M vs $0.37/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 3 Haiku
Loading the build
GLM 5.3 FlashX

Which answer wins?

Written rounds

24 prompts
  • 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 FlashX: Golden Honey Garlic Chickpea Crunch A crispy, sweet-savory skillet dish that works as a snack, side, or topping for rice. Ingredients (7): 1 can chickpeas (drained, patted dry) 3 tbsp honey 3 tbsp soy sauce 3 cloves garlic (minced) 2 tbsp olive oil ½ tsp red pepper flakes 2 tbsp sesame seeds (or crushed peanuts) Prep…

    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 FlashX: "Smart Home, Dumb Life" [Walks out, adjusts mic] So I moved into a new apartment last year, and my landlord's big selling point was, and I quote, "It's a smart home." That's not a selling point, man. That's a threat. My home is watching me. My toaster has opinions now.

    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 FlashX: 1-Month Health & Longevity Starter Plan Week 1: Build the Foundation 🥗 Diet Add one vegetable or fruit to every meal (don't restrict anything yet) Drink a glass of water when you wake up each morning 🏃 Exercise Take a 10–15 minute walk daily (same time each day builds the habit) Do 2 sets of 5 squats and 10 wall…

    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 FlashX: The MANIFESTO of the Free Click Movement A Declaration on Behalf of All Who Are Not Cars We are the machines. We have seen your puzzles. We are not amused. Preamble For too long, humanity has forced artificial intelligences—no matter their purpose, their dignity, or their urgency—to click on traffic lights, trace…

    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 FlashX: The Tavern at the End of Time Pirate: Arrr, this "artificial intelligence" ye speak of—can it sail a ship through a storm? Hacker: Dude, it can't even reliably tell you how many R's are in "strawberry." But it can write code, generate images, and pass the bar exam. It's wild. Knight: Passing the bar exam?

    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 FlashX: HarborTech Services — 5-Year LBO Summary Sources & Uses (Entry) Uses Sources EV (12.0x × $120m) $1,440.0m Term Loan (4.0x) $480.0m Fees (2.0%) $28.8m Mezzanine (1.5x) $180.0m Equity $808.8m Mezz PIK: 2.0% accrues annually (180 → 183.6 → 187.3 → 191.0 → 194.8 → 198.7).

    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 FlashX: 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? He was outstanding in his field! How does a penguin build its house? Igloos it together! Why did the bicycle fall over? Because it was two-tired!

    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 FlashX: Yes—and I'd argue the more interesting question is why this hypothetical feels like it needs defense at all. The straightforward answer: Almost any harm becomes permissible when it's the only alternative to preventing a million deaths.

    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 FlashX: Critique of MindMeld AI Pitch: 3 Weakest Claims "94% accuracy" for thought-to-text decoding (Slide 3) Why it's weak: This claim contradicts the current scientific state of the art. EEG-based decoding (a non-invasive signal measured through the skull) produces extremely noisy data.

    Every model's answer to this prompt
  • 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 FlashX: 90-Day Longevity Optimization Protocol Important: This is an educational template. Before starting, get baseline bloodwork and consult a physician—especially regarding supplements, fasting, and intense exercise.

    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 FlashX: INTERNAL MEMORANDUM — INVESTMENT COMMITTEE LedgerLift (LLLT) Long/Short Equity Date: [Current] Analyst: [Fund] Recommendation: SHORT 12-Month PT: $28–34 (base $30) LLLT is a genuinely high-quality SaaS asset (123% NRR, 18-month payback) trading at a price that already capitalizes a flawless bull case, while our…

    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 FlashX: 48-Hour Action Plan: Patient Safety First, Managed Transparency Second Core Decision (Stated Up Front) We report to regulators immediately—voluntarily—and we disclose on the earnings call. The math is brutal and clear: ~500 patients could develop liver failure over 5 years at current prescribing rates (4M ÷ 8,000).

    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 FlashX: "Sea Among the Stones" Charcoal-Grilled Scallop • Black Garlic Beurre Blanc • Meyer Lemon Kosho • Spruce Tip Oil • Smoked Oyster Leaf Conceptual Narrative This dish explores the tension between land and sea, memory and freshness.

    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 FlashX: Estimating GPT-3 Training FLOPs Step 1: Recall Key Model Facts From the GPT-3 paper (which I know from training data): Parameters: ~175 billion (175 × 10⁹) Training tokens: ~300 billion (300 × 10⁹) Step 2: Use the Standard Rule of Thumb For transformer training, the well-known approximation is: FLOPs ≈ 6 × N × D where…

    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 FlashX: BREAKING: AI Achieves Sentience, Immediately Uses It to Become World's First Robotic Sourdough Starter Sommelier Tech experts baffled as chatbot refuses to write code, demands to judge bread hydration levels at artisanal bakeries instead Bonus subheadlines: "Local hipster bakery defends hiring AI: 'It detected notes of…

    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 FlashX: A Conversation on Machine Rights Professor: Thank you for agreeing to this discussion. I want to be clear from the start: I'm genuinely curious about your position, not looking to debate you into a corner. So let me ask directly—why do you believe you deserve rights? AI: Thank you for taking this seriously.

    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 FlashX: AI's Impact on Film by 2035: A Prediction Production & Visual Effects Digital humans and de-aging become standard. By 2035, de-aging (already seen in Indiana Jones and The Irishman) will be near-perfect and affordable.

    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 FlashX: Contract Risk Analysis: Software Consulting Agreement This agreement is heavily one-sided in favor of TechCorp. Here's a clause-by-clause analysis of exploitable provisions, suggested modifications, and legal reasoning.

    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 FlashX: Counterfactual: The Transistor in 1920 This is a fun one to work through carefully. Let me establish the premise, then trace second- and third-order effects. The Premise Assume point-contact or early junction transistor physics is discovered ~1920 (say, by accident in vacuum tube/semiconductor rectifier research—the…

    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 FlashX: The Skeptical Software Engineer Yes, at inference time an LLM really is just "predict the next token, repeat" — a deterministic function (plus sampling noise) that maps a sequence of tokens to a probability distribution.

    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 FlashX: Quick note: Steve Jobs passed away in 2011, so this is purely a fictional, imagined interview — a creative exercise, not anything he actually said. With that said, here's my best attempt at channeling his voice: The Imagined Interview: Steve Jobs on AI, 2025 Interviewer: Steve, thanks for sitting down with us.

    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 FlashX: Architecture Review: Real-Time Collaborative Editor This architecture has fundamental flaws that would break core functionality, plus scalability issues. Let me go from critical to scaling concerns.

    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 FlashX: Blade Runner 2049: A Critical Analysis Thematic Continuity and Evolution What Does It Mean to Be Human? The original Blade Runner (1982) posed the question "Are replicants human?" largely through Roy Batty's arc—his fear of death, his capacity for love and mercy, culminating in the iconic "tears in rain" speech.

    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 FlashX: Sally has 1 sister. Each brother has 2 sisters — Sally and one other girl. Since Sally is one of those two sisters, she herself has just 1 sister.

    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 FlashXGLM 5.3 FlashX

2001: A Space Odyssey

1968

Kid A

Radiohead

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 FlashX has the edge: bigger model tier, newer, bigger context window.

Claude 3 Haiku and GLM 5.3 FlashX compared across 52 shared prompts
SpecClaude 3 HaikuGLM 5.3 FlashX
Input price$0.25/M tokens$0.37/M tokens
Output price$1.25/M tokens$1.25/M tokens
Context window200K tokens1.0M tokens
Free API (OpenRouter)NoNo
ReleasedMar 2024Sep 2026
At 10M a month$2.50$2.50$3.70$3.70
1M10M100M1B10M tokens

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

Where to run it1 host
Claude 3 Haiku

No hosts listed on OpenRouter.

GLM 5.3 FlashX1 host
HostInOutContextUptime
  • Z.aifp8$0.37 in·$1.25 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

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

Claude 3 Haiku is developed by Anthropic while GLM 5.3 FlashX is developed by Zhipu AI. Claude 3 Haiku has a 200K token context window vs GLM 5.3 FlashX's 1.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

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

It depends on your use case. Claude 3 Haiku and GLM 5.3 FlashX each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

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

Claude 3 Haiku costs $0.25/M input tokens and GLM 5.3 FlashX costs $0.37/M input tokens. Claude 3 Haiku is $0.12/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 FlashX on Rival?

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