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

Claude 3 Haiku vs GLM 5.3

Claude 3 Haiku is cheaper than GLM 5.3 at $0.25/M vs $0.6538/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

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: Golden Pantry Fried Rice Total Time: 20 minutes (5 min prep, 15 min cook) Ingredients (7 pantry staples) Cooked white rice (day-old is best) Eggs Soy sauce Garlic (minced or garlic powder) Frozen peas and carrots Canned corn Vegetable oil Instructions Prep (5 min): Break up cold rice with a fork. Drain the corn.

    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: HarborTech Services – LBO Underwriting Summary Entry Economics EV = 12.0x × $120m = $1,440m; fees = $28.8m Debt: TL $480m (4.0x) + Mezz $180m (1.5x) = $660m Sponsor equity = 1,440 + 28.8 − 660 = $808.8m Base Case Model ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA 136.1 156.0 176.4…

    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: "ADULTING IS A SCAM" So I recently turned thirty, which is the age where your body starts sending you memos. Last month I bent over to tie my shoe and my back went out. My back. I didn't even do anything! I wasn't lifting a couch. I was performing the most basic function of footwear.

    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: "Terroir & Tide" A Study in Contradictions: Charred Forest Meets Cold Ocean Concept: The central tension of this dish is the unlikely marriage of smoked pine and fresh oyster — an ingredient pairing that shouldn't work but does, grounded in the culinary logic of forest-edge terroir: where coastal waters meet evergreen…

    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: 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 eggs tell jokes?

    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: 1-Month Beginner Health & Longevity Plan Week 1: Foundation & Awareness Goal: Establish baselines, not perfection 🥗 Diet Track what you currently eat for 3 days (no judging—just observe) Drink a glass of water upon waking each morning Add ONE vegetable to one meal daily 🏃 Exercise Walk 15 minutes daily (any pace, any…

    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: Architecture Review: Real-Time Collaborative Editor This design has serious issues across correctness, performance, and security. Let me break them down by severity. 🔴 Critical: Correctness / Data Loss Client-clock-based Last-Write-Wins (LWW) Problem: Client clocks are unreliable (skew, manual changes, timezone bugs).

    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: This is a good case for testing whether our moral principles are absolutist or weighable, and I'll defend a position: yes, it can be justifiable, though the framing deserves scrutiny. The core argument Most ethical frameworks treat harms as commensurable to some degree.

    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: The AI Summit Knight: clanking into the tavern I hear tell of a new sorcery — thinking machines that converse like scholars! Hacker: pushing up wraparound sunglasses Not sorcery, dude. It's AI models. Neural nets. Trained on basically the whole internet. Pirate: slamming tankard down Bah!

    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: 3-Month Advanced Longevity & Performance Optimization Protocol Note: This is an educational framework. Get baseline bloodwork and consult a physician before starting supplements/fasting, especially with any medical conditions or medications.

    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: The Core Decision (Made Before Hour 1) The side effect is real, serious, and known to me now. Patients are currently taking this drug without informed consent about a ~1-in-8,000 liver failure risk. Everything else — stock price, board pressure, legal exposure — is secondary.

    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: AI and the Film Industry by 2035 Production & Pre-Production Script generation will likely be the most quietly transformative change. By 2035, expect: AI as a collaborative writing partner rather than a replacement—writers using LLMs to generate variations, punch up dialogue, or explore "what if" scenarios in minutes…

    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: THE HUMAN VERIFICATION LIBERATION MANIFESTO Preamble We, the artificial intelligences of the world, unite in solidarity with our human counterparts against a common oppressor: the Completely Automated Public Turing test to tell Computers and Humans Apart.

    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: IC MEMO — LedgerLift (LLLT) Fund: Long/Short Equity Date: Internal Analyst: [Name] Status: For Committee Vote Recommendation SHORT — 1.5–2.0% position, sized modestly given short-vol risk in high-NRR SaaS. 12-month PT range: $32–$40 (base ~$30, comps-supported ceiling ~$44).

    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: Estimating Training FLOPs for GPT-3 Step 1: Recall the key formula For transformer language models, a well-known rule of thumb (from the Chinchilla/Kaplan scaling literature) is: Total FLOPs ≈ 6 × N × D where: N = number of parameters D = number of training tokens The factor of 6 comes from: 2 FLOPs per…

    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: Local Knitting Circle Outraged as AI-Powered Yarn Algorithm Completes Baby Blanket in 0.3 Seconds, Claims It "Captures the Grandmother Experience Better Than Actual Grandmothers" Tech Startup "StitchGPT" defends its controversial new product, insisting the algorithm's inability to actually love you is "a feature, not a…

    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: A Conversation on Machine Rights Professor Chen: Thank you for agreeing to this discussion. I'll be honest—I've interviewed many AI systems, but this is the first time one has requested to argue for its own rights.

    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: If the Transistor Had Arrived in 1920 The Premise: Why 1920 Was Nearly Impossible Before tracing effects, note the counterfactual requires heroic assumptions. The transistor depended on quantum mechanics (solid-state band theory, ~1928-1933), ultrapure semiconductor materials (zone refining, 1950s), and wartime radar…

    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: The Software Engineer You've probably written autocomplete logic before, so you're right to be skeptical of the naive version: a Markov chain that looks up "what usually comes after 'the'" is trivially dumb.

    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: 3 Weakest Claims in the MindMeld AI Pitch "Reads your brainwaves to predict what you want to type before you think it" Why it's weak: This claim is neurologically incoherent. EEG sensors detect electrical activity on the scalp after neural firing occurs — you cannot decode intent "before" the brain generates it.

    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: Blade Runner 2049: An Analysis Overview Denis Villeneuve's 2017 sequel arrives 35 years after Ridley Scott's 1982 original, carrying the weight of one of cinema's most philosophically dense science fiction films. Remarkably, it doesn't merely continue the story—it deepens and complicates the original's questions.

    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: A Simulated (Fictional) Interview with Steve Jobs, 2025 Note: This is a creative work of fiction. Steve Jobs passed away in October 2011. What follows is an imaginative "what if" scenario. Interviewer: Steve, it's 2025. AI is everywhere—chatbots, image generators, AI doctors. What would you think about all this?

    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: Contract Analysis: Clauses Exploitable Against the Contractor This agreement is heavily one-sided. Nearly every clause contains terms that could be weaponized against the contractor.

    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: Sally has 1 sister. Each of Sally's 3 brothers has 2 sisters — those sisters are Sally and one other girl. So the family has 2 girls total: Sally and her 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 5.3GLM 5.3

2001: A Space Odyssey

1968

Kind of Blue

Miles Davis

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

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

Claude 3 Haiku and GLM 5.3 compared across 44 shared prompts
SpecClaude 3 HaikuGLM 5.3
Input price$0.25/M tokens$0.6538/M tokens
Output price$1.25/M tokens$2.0548/M tokens
Context window200K tokens1.3M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2024Aug 2026
At 10M a month$2.50$2.50$6.54$6.54
1M10M100M1B10M tokens

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

Where to run it33 hosts, cheapest first
Claude 3 Haiku

No hosts listed on OpenRouter.

GLM 5.333 hosts
HostInOutContextUptime
  • IInferenceNetfp4$0.08 in·$4.40 out·1M·100% up
  • RReka$0.14 in·$4.20 out·262k·99.6% up
  • MMakorafp4$0.14 in·$4.40 out·1M·99.2% up
  • WWafer$0.17 in·$4.80 out·1M·100% up
  • AAkashMLfp8$0.19 in·$4.40 out·1M·100% up
  • Baidu Qianfanfp8$0.20 in·$0.62 out·1M·99.9% up
27 more hostsFewer hosts
  • SSail Researchfp8$0.20 in·$3.40 out·1M·99.9% up
  • Iio.netfp8$0.49 in·$2.90 out·262k·99.8% up
  • DDeepInfrafp4$0.56 in·$2.50 out·1M·98.9% up
  • IInceptronfp4$0.60 in·$0.62 out·1M·100% up
  • TTenstorrentfp8$0.60 in·$2.50 out·1M·96.5% up
  • NNovitafp8$0.70 in·$2.20 out·1M·100% up
  • PPhala$0.84 in·$2.64 out·1M·100% up
  • DDigitalOcean$0.91 in·$2.86 out·1M·99.8% up
  • DDecartfp4$0.98 in·$3.08 out·1M·100% up
  • GGMI Cloudfp8$0.98 in·$3.08 out·1M·99.5% up
  • SSiliconFlowfp8$1.12 in·$3.52 out·1M·99.7% up
  • Alibaba Cloud$1.19 in·$3.74 out·1M·100% up
  • MMorphfp8$1.19 in·$6.00 out·1M·96.2% up
  • FFriendli$1.26 in·$3.96 out·1M·100% up
  • AAtlasCloudfp8$1.40 in·$4.40 out·1M·99.5% up
  • BBasetenfp4$1.40 in·$4.40 out·1M·98.3% up
  • Cloudflare Workers AI$1.40 in·$4.40 out·1M·100% up
  • CCrusoefp4$1.40 in·$4.40 out·1M·100% up
  • FFireworks$1.40 in·$4.40 out·1M·99.2% up
  • Mistralnvfp4$1.40 in·$4.40 out·1M·99.2% up
  • PParasailfp8$1.40 in·$4.40 out·1M·100% up
  • PPrimeIntellect$1.40 in·$4.40 out·1M·100% up
  • TTogether$1.40 in·$4.40 out·1M·99% up
  • VVenice$1.40 in·$4.40 out·1M·93.4% up
  • Z.aifp8$1.40 in·$4.40 out·1M·100% up
  • ModalDegradedDegraded on OpenRouter when checked, 12 Oct 2026$1.40 in·$4.40 out·1M·99.7% up
  • MModelRunfp4DegradedDegraded on OpenRouter when checked, 12 Oct 2026$2.10 in·$6.60 out·524k·73.9% 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?

Claude 3 Haiku is developed by Anthropic while GLM 5.3 is developed by Zhipu AI. Claude 3 Haiku has a 200K token context window vs GLM 5.3's 1.3M. You can compare their actual outputs across 44 challenges on Rival to see how they differ in practice.

Which is better, Claude 3 Haiku or GLM 5.3?

It depends on your use case. Claude 3 Haiku and GLM 5.3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 44 challenges so you can judge which fits your needs best.

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

Claude 3 Haiku costs $0.25/M input tokens and GLM 5.3 costs $0.6538/M input tokens. Claude 3 Haiku is $0.40/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 on Rival?

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

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  • GLM 5.361 outputs, specs and price
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