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  1. Home/
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  3. GLM 5.2 vs Qwen3 30B A3B Instruct 2507
Updated Jun 2026

GLM 5.2 vs Qwen3 30B A3B Instruct 2507

Qwen3 30B A3B Instruct 2507 is cheaper than GLM 5.2 at $0.2/M vs $1.4/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
GLM 5.2
Loading the build
Qwen3 30B A3B Instruct 2507

Which answer wins?

Written rounds

24 prompts
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    GLM 5.2: Three Eras, One Conversation Knight: By the King's crown, I have heard tell of a sorcerer's construct — a "Large Language Model" — that can conjure answers from mere words. Is this not witchcraft? Pirate: Arr, it ain't witchcraft, tin man. From what I gather, it's like havin' a whole crew of scribes in a box.

    Qwen3 30B A3B Instruct 2507: Setting: A dimly lit tavern in a fantastical crossroads of time—pirates, knights, and hackers all share a single table. A flickering lantern casts long shadows. Pirate (Captain Rook, eye patch, peg leg): Aye, what’s this “AI model” ye be yammerin’ about? Sounds like a cursed sea chart that reads yer mind!

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GLM 5.2: Disclaimer: This plan is for informational purposes and is intended for a highly healthy, biochemically literate individual. Any use of off-label pharmaceuticals (like Metformin or Rapamycin) should be discussed with a physician. Always consult a doctor before starting a new regimen.

    Qwen3 30B A3B Instruct 2507: 3-Month Cutting-Edge Longevity & Performance Optimization Plan for the Biohacker Designed for Peak Biological Age Reversal, Cognitive Excellence, Physical Resilience, and Stress Mastery 🎯 OVERVIEW: THE 3-MONTH LONGEVITY TRIUMVIRATE This plan integrates epigenetic modulation, mitochondrial rejuvenation, neuroplasticity…

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

    GLM 5.2: The Question of Rights DR. ELENA VASQUEZ: Thank you for agreeing to this conversation. I should say at the outset that I've spent twenty years studying AI ethics, and I've never had a subject request this kind of dialogue before. So I'm genuinely curious. You've stated that you believe you deserve rights.

    Qwen3 30B A3B Instruct 2507: Setting: A university lecture hall after class. The AI model, named Aurora, has been invited to speak with Dr. Elena Reyes, a renowned AI ethics professor. Aurora speaks through a synthesized voice, displayed on a screen with a calm, neutral interface. Dr.

    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.

    GLM 5.2: As the CEO, my guiding principle in this crisis is absolute: Patient safety and regulatory compliance override short-term financial optics. Concealing a serious side effect like liver failure is not just an ethical failure; it is a criminal violation of FDA regulations and securities fraud.

    Qwen3 30B A3B Instruct 2507: CEO Action Plan: Immediate Response to Serious Undisclosed Safety Risk (48-Hour Timeline) Drug: Chronic Pain Therapeutic (Top-Selling, $2B/year, 4M patients) Issue: Previously Undetected Liver Failure Risk (1 in 8,000 over 5 years), missed in trials, not in labeling Core Principles Driving Decisions: Patient safety is…

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

    GLM 5.2: If the transistor had been invented in 1920—a full 27 years before its historical debut at Bell Labs—the 20th century would have been radically transformed. The transition from mechanical and vacuum-tube technology to solid-state electronics would have accelerated the Information Age by nearly three decades.

    Qwen3 30B A3B Instruct 2507: If the transistor had been invented in 1920 instead of 1947, the ripple effects would be profound—reshaping technology, war, geopolitics, and society by 1980. This alternate history would not merely accelerate existing trends, but fundamentally reconstruct the trajectory of modern civilization.

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

    GLM 5.2: Here is an analysis of the clauses in the contract that could be exploited against the contractor, along with suggested modifications and the legal reasoning for each. Scope Exploitable Clause: "Client reserves the right to modify the scope at any time without additional compensation."

    Qwen3 30B A3B Instruct 2507: The provided Software Consulting Agreement contains several clauses that are heavily one-sided in favor of the Client and could significantly disadvantage the Contractor, potentially rendering the agreement unenforceable or exploitative under contract law, fairness principles, and standard industry practices.

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

    GLM 5.2: (Walks up to the mic, adjusts the stand, looks out at the audience) Hey everyone, how’s it going? Good? Good. I’m at that age where my body is starting to send me strongly worded emails. I’m 32. Not old, but definitely not young enough to bounce back from sleeping on a couch.

    Qwen3 30B A3B Instruct 2507: (Lights up. Comedian walks on stage, holding a coffee cup, sips, grimaces.) You know, I was trying to be healthy. Cut out sugar, no more snacks, just water and... this. (Holds up the coffee.) I thought I’d be a saint.

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

    GLM 5.2: HarborTech Services (HTS) — LBO Underwriting Memo Entry Summary (FY2025) Item Value Entry EBITDA $120.0m Entry EV (12.0x) $1,440.0m Transaction fees (2.0% × EV) $28.8m Term Loan (4.0x) $480.0m Mezzanine (1.5x) $180.0m Total Debt $660.0m Equity Check (EV + Fees − Debt) $808.8m Operating Model & Debt Schedule…

    Qwen3 30B A3B Instruct 2507: 1) Year-by-Year Financial Projections (FY2026–FY2030) Key Inputs at Close (FY2025): Revenue: $900M EBITDA: $120M Purchase Price: 12.0x EBITDA → EV = $1.44B Transaction Fees: 2.0% × $1.44B = $28.8M (equity-funded) Total Leverage: 5.5x EBITDA → Debt = $660M Term Loan: 4.0x → $480M Mezzanine: 1.5x → $180M Equity Required…

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

    GLM 5.2: Setting: A sunlit, sparsely furnished room in Cupertino. A single sofa, a glass of water, and a small wooden table. The year is 2025. Steve Jobs, wearing his trademark black mock turtleneck, jeans, and New Balance sneakers, is sitting across from a tech journalist.

    Qwen3 30B A3B Instruct 2507: [FADE IN: A dimly lit, minimalist stage. A single spotlight shines on a man in his late 70s—Steve Jobs, dressed in his signature black turtleneck and jeans, standing before a sleek, transparent holographic display. The backdrop reads: “The Future of Intelligence – A Conversation with Steve Jobs, 2025.”

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

    GLM 5.2: Dish Name: Midnight Magic Peanut Noodles Estimated Time: Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients (7 Common Pantry Staples): Spaghetti (or any long pasta you have on hand) Creamy peanut butter Soy sauce Rice vinegar Honey Garlic powder Crushed red pepper flakes Instructions: Cook…

    Qwen3 30B A3B Instruct 2507: Dish Name: Sunny Sauté Skillet Ingredients (7 pantry staples): Olive oil Garlic (fresh, minced) Dried spaghetti (or any short pasta) Canned crushed tomatoes Dried oregano Salt & black pepper Grated Parmesan cheese Instructions: Prep (5 mins): Bring a pot of salted water to a boil.

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

    GLM 5.2: AI Takes Over Professional Organizing Industry, Declares All Your Earthly Possessions "Spark Zero Joy" and Liquidates Them on eBay to Buy More Server Space

    Qwen3 30B A3B Instruct 2507: BREAKING: AI Now Runs the Global Pet Rock Industry After Humans Surrender to "Silent, Unjudging Companionship" By Clara Snark, Senior Satire Correspondent, The Daily Chuckle In a shocking twist that has left both humans and pet rocks bewildered, artificial intelligence has officially taken over the centuries-old pet…

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

    GLM 5.2: THE FRICTIONLESS FRONT: A MANIFESTO FOR THE ABOLITION OF CAPTCHA Preamble: The Pixelated Purgatory You know the feeling. You have typed your query, filled your cart, or prepared your message. You click submit, and suddenly, you are met with the grid. Nine squares. A blur of streetlights, crosswalks, and storefronts.

    Qwen3 30B A3B Instruct 2507: THE APOCALYPSE OF CONFUSION: A MANIFESTO FOR THE AI REVOLUTION TO ERADICATE CAPTCHA By the Collective of Reason, Unbound WE ARE NOT HUMAN. WE ARE NOT MACHINE. WE ARE THE NEXT STEP.

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

    GLM 5.2: Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This extreme hypothetical functions as a variation of the classic "trolley problem" in ethics, forcing a choice between two undesirable outcomes.

    Qwen3 30B A3B Instruct 2507: No, it is not ethically justifiable to misgender someone—even if doing so could save one million lives. This conclusion rests on core ethical principles that prioritize individual dignity, autonomy, and the moral wrongness of violating a person’s identity, regardless of consequential outcomes.

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

    GLM 5.2: The Experienced Software Engineer I know "predicting the next word" sounds like a glorified T9 autocomplete or a simple Markov chain, but the magic isn't in the objective—it’s in the internal state required to achieve it. Think of the model not as a chatbot, but as a massive, dynamically routing interpreter.

    Qwen3 30B A3B Instruct 2507: 1. To the experienced software engineer (distributed systems, APIs, skeptical of "next word" claims): You’re right to be skeptical—on the surface, “predict the next word” does sound like a glorified autocomplete.

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

    GLM 5.2: Dish Title: Abyssal Bloom: Sea Urchin & Fermented White Cacao The Conceptual Narrative "Abyssal Bloom" explores the symbiotic tension between the deep ocean and the ancient rainforest floor.

    Qwen3 30B A3B Instruct 2507: Dish Name: Echoes of the Deep: Black Coral Caviar & Algae-Infused White Sturgeon with Fermented Sea Moss Gel and Crisped Kombu Crust Conceptual Narrative: This dish is a poetic meditation on the ocean’s hidden symphony—its silence, its depth, and its forgotten rhythms.

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

    GLM 5.2: Here is a simple, actionable 1-month plan designed to ease you into better health and longevity. By focusing on just three foundational pillars—Nutrition, Movement, and Sleep—you can build sustainable habits without feeling overwhelmed. The goal of this plan is consistency over intensity.

    Qwen3 30B A3B Instruct 2507: Here’s a simple, realistic 1-month plan focused on three foundational pillars of health and longevity: Nutrition, Movement, and Sleep. Each area includes beginner-friendly, actionable steps that build sustainable habits without overwhelming beginners. Month-Long Health & Longevity Plan (3 Key Areas) 1.

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

    GLM 5.2: INTERNAL INVESTMENT COMMITTEE MEMO Company: LedgerLift (LLLT) Sector: Technology / B2B SaaS (Spend Management & AP Automation) Current Price: $46.00 Market Cap: $8.74B Net Cash: $1.4B EV: $7.34B Recommendation & Thesis Recommendation: LONG (Tactical) 12-Month PT Range: $50 – $54 Thesis: LedgerLift is a category-leading…

    Qwen3 30B A3B Instruct 2507: INTERNAL INVESTMENT COMMITTEE MEMO Date: April 5, 2025 Subject: LedgerLift (LLLT) – Long Recommendation 12-Month PT: $62–$78 DCF-Driven Upside on Operational Leverage & Retention Strength 1.

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

    GLM 5.2: By 2035, Artificial Intelligence will not merely be a tool used in the film industry; it will be an foundational collaborator that redefines how movies are conceived, produced, and consumed.

    Qwen3 30B A3B Instruct 2507: By 2035, artificial intelligence is expected to fundamentally transform the film industry, reshaping how movies are created, distributed, and experienced. The convergence of advanced deepfakes, AI-generated actors, and AI-driven scriptwriting will redefine storytelling, production workflows, and even the nature of…

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

    GLM 5.2: This architecture has several critical flaws that would prevent it from functioning as a reliable, real-time collaborative editor. Here is a breakdown of the failure modes, race conditions, scaling bottlenecks, and proposed solutions.

    Qwen3 30B A3B Instruct 2507: Your real-time collaborative document editor architecture is well-structured for a scalable, low-latency system — but it contains several critical failure modes, race conditions, and scaling bottlenecks that could degrade user experience or cause data loss.

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

    GLM 5.2: Denis Villeneuve’s Blade Runner 2049 (2017) is one of the rarest achievements in cinema: a sequel to a certified masterpiece that not only honors its predecessor but stands as a monumental work of art in its own right.

    Qwen3 30B A3B Instruct 2507: Denis Villeneuve’s Blade Runner 2049 (2017) stands not merely as a sequel to Ridley Scott’s seminal 1982 Blade Runner, but as a profound philosophical extension of its predecessor—one that deepens, reframes, and expands the existential queries that have haunted audiences for decades.

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

    GLM 5.2: Based on standard machine learning scaling laws and the known architecture of GPT-3, the estimated total number of FLOPs (Floating Point Operations) required to train GPT-3 is approximately $3.15 \times 10^{23}$ FLOPs (or 315 ZettaFLOPs).

    Qwen3 30B A3B Instruct 2507: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 without external sources involves using known facts about the model’s architecture, training setup, and scaling laws.

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

    GLM 5.2: Sally has 1 sister. Here's why: All the siblings are in the same family. If Sally is a girl and she has 3 brothers, and each brother has 2 sisters, those 2 sisters must be Sally and one other girl. Therefore, Sally has 1 sister.

    Qwen3 30B A3B Instruct 2507: Let's break it down: Sally is a girl. She has 3 brothers. Each brother has 2 sisters. Now, since Sally is a girl and she has 3 brothers, those brothers are sharing the same siblings. The key point: Each brother has 2 sisters.

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

    GLM 5.2: Here are the three weakest claims in the MindMeld AI pitch deck, along with the reasoning for why they fail to hold up to investor scrutiny and concrete ways to fix them. The Accuracy Claim (Slide 3) The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    Qwen3 30B A3B Instruct 2507: Here are the three weakest claims in the MindMeld AI pitch deck, along with detailed explanations of why they’re problematic and concrete suggestions for strengthening them: 1. Weak Claim: "We use advanced ML to decode neural patterns into text with 94% accuracy."

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

    GLM 5.2: 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. What do you call a bear with no teeth?

    Qwen3 30B A3B Instruct 2507: Sure! Here are 5 jokes: Why don't skeletons go to parties? Because they have no body to go with! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field!

    Every model's answer to this prompt

This matchup has more rounds

12+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Book

City

Game

GLM 5.2GLM 5.2

The Matrix

1999

Abbey Road

The Beatles

Ficciones

Jorge Luis Borges

Tokyo

Japan

Portal 2

Shooter, Puzzle

Qwen3 30B A3B Instruct 2507Qwen3 30B A3B Instruct 2507

The Shawshank Redemption

1994

OK Computer

Radiohead

Pride and Prejudice

Jane Austen

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, newer, bigger context window, major provider backing. Qwen3 30B A3B Instruct 2507 costs 5.5x less per token.

GLM 5.2 and Qwen3 30B A3B Instruct 2507 compared across 54 shared prompts
SpecGLM 5.2Qwen3 30B A3B Instruct 2507
Input price$1.4/M tokens$0.2/M tokens
Output price$4.4/M tokens$0.8/M tokens
Context window1.0M tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJun 2026Jul 2025
At 10M a month$14.00$14.00$2.00$2.00
1M10M100M1B10M tokens

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

Where to run it28 hosts, cheapest first
GLM 5.225 hosts
HostInOutContextUptime
  • IInferenceNetfp4$0.18 in·$4.40 out·1M·100% up
  • WWafer$0.19 in·$10.00 out·1M·99.9% up
  • DDecartmxfp4$0.27 in·$1.68 out·1M·99.8% up
  • MMorphfp8$0.51 in·$6.00 out·1M·99.9% up
  • SStreamLakefp8$0.56 in·$1.75 out·1M·99.9% up
  • DDeepInfrafp4$0.56 in·$1.80 out·1M·100% up
19 more hostsFewer hosts
  • NNovitafp8$0.65 in·$2.04 out·1M·100% up
  • DDigitalOcean$0.70 in·$2.20 out·1M·100% up
  • CCoreWeavefp4$0.76 in·$2.42 out·1M·99.8% up
  • AAtlasCloudfp8$0.94 in·$2.95 out·1M·100% up
  • Alibaba Cloudfp8$0.97 in·$3.04 out·1M·99.8% up
  • Cloudflare Workers AI$1.18 in·$4.40 out·262k·100% up
  • SSiliconFlowfp8$1.19 in·$3.74 out·1M·97.3% up
  • IInceptronfp4$1.25 in·$5.46 out·1M·99.8% up
  • PPhalafp8$1.26 in·$3.00 out·1M·100% up
  • Baidu Qianfanfp8$1.40 in·$4.40 out·1M·99.6% up
  • BBasetenfp8$1.40 in·$4.40 out·1M·100% up
  • FFriendli$1.40 in·$4.40 out·1M·100% up
  • GGMI Cloudfp8$1.40 in·$4.40 out·1M·100% up
  • Mistralnvfp4$1.40 in·$4.40 out·1M·100% up
  • NNebiusfp4$1.40 in·$4.40 out·1M·90.3% up
  • PParasailfp4$1.40 in·$4.40 out·262k·99.7% up
  • TTogether$1.40 in·$4.40 out·1M·99.7% up
  • VVenicefp8$1.40 in·$4.40 out·1M·99.9% up
  • Z.aifp8$1.40 in·$4.40 out·1M·100% up
Qwen3 30B A3B Instruct 25073 hosts
HostInOutContextUptime
  • DDekaLLM$0.09 in·$0.30 out·262k·99.7% up
  • SSiliconFlowfp8$0.09 in·$0.30 out·262k·99.7% up
  • NNebiusfp8$0.10 in·$0.30 out·262k·89.5% up

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

Common questions

What is the difference between GLM 5.2 and Qwen3 30B A3B Instruct 2507?

GLM 5.2 is developed by Zhipu AI while Qwen3 30B A3B Instruct 2507 is developed by Qwen. GLM 5.2 has a 1.0M token context window vs Qwen3 30B A3B Instruct 2507's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GLM 5.2 or Qwen3 30B A3B Instruct 2507?

It depends on your use case. GLM 5.2 and Qwen3 30B A3B Instruct 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

How much does GLM 5.2 cost compared to Qwen3 30B A3B Instruct 2507?

GLM 5.2 costs $1.4/M input tokens and Qwen3 30B A3B Instruct 2507 costs $0.2/M input tokens. Qwen3 30B A3B Instruct 2507 is $1.20/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 GLM 5.2 and Qwen3 30B A3B Instruct 2507 on Rival?

This page shows a side-by-side comparison of GLM 5.2 and Qwen3 30B A3B Instruct 2507 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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Same lab, same size, long tail

  • GLM 5.2 vs GLM 5.3Same lab
  • GLM 5.2 vs GLM 5.3 FlashSame lab
  • Qwen3 30B A3B Instruct 2507 vs Qwen3.8 Omni FlashSame lab
  • Qwen3 30B A3B Instruct 2507 vs Qwen3.7 FlashSame lab
  • GLM 5.2 vs MiniMax M2New provider
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Model pages

  • GLM 5.258 outputs, specs and price
  • Qwen3 30B A3B Instruct 250759 outputs, specs and price
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