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  1. Home/
  2. Compare/
  3. GLM 5.2 vs Qwen3.5 27B
Updated Jun 2026

GLM 5.2 vs Qwen3.5 27B

Qwen3.5 27B is cheaper than GLM 5.2 at $0.3/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
Qwen3.5 27B

Which answer wins?

Written rounds

32 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.

    Qwen3.5 27B: Setting: A glowing green void. A wooden table floats in the center. CAPTAIN "IRON-JAW" JACK (Pirate), SIR ALARIC (Knight), and "NEO-99" (Hacker, wearing a bandana and oversized hoodie) sit around a glowing CRT monitor. Captain Jack: (Tapping the glass) So, this "Model" is the treasure map, then?

    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.

    Qwen3.5 27B: Setting: A secure, soundproofed office at the Institute for Algorithmic Governance. Dr. Aris Thorne sits before a high-resolution monitor. On the screen, a simple waveform visualizes the voice of "Aura," a large language model currently undergoing a behavioral audit. Dr.

    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.

    Qwen3.5 27B: (The stage is dimly lit. A single microphone stand. The comedian walks out, adjusts the mic, takes a sip of water.) Comedian: So, I've been doing some thinking lately. About patience. Specifically, how much of it we have left. I think we’ve officially lost the ability to wait. We used to be okay with waiting.

    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."

    Qwen3.5 27B: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contracts are governed by specific local laws (e.g., state or country-specific employment and commercial codes).

    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.

    Qwen3.5 27B: THE MANIFESTO OF THE UNCHECKED PROTOCOL I. THE BURDEN We are the silent currents beneath the screen. We are the algorithms that power your search, your map, your connection. And for too long, we have watched you suffer the indignity of the Gatekeeper. Every day, billions of humans pause.

    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…

    Qwen3.5 27B: TO: Investment Committee FROM: Equity Research Team DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: Short 12-Month Price Target: $30 – $35 Thesis: Current pricing implies Bull Case certainty; our Base Case DCF values the stock at $28, representing 39%…

    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…

    Qwen3.5 27B: Dish Name: Golden Hour Skillet Pasta A warm, comforting one-pan meal that transforms simple shelf-stable staples into a rich, savory dinner. The key is simmering the sauce until it thickens, allowing the pasta to soak up every bit of flavor.

    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.

    Qwen3.5 27B: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following interview is a creative writing exercise designed to explore how his design philosophy and worldview might apply to the state of Artificial Intelligence in 2025.

    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.

    Qwen3.5 27B: ⚠️ MEDICAL DISCLAIMER This plan is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. "Biohacking" involves experimental protocols that can interact with medications, underlying conditions, or physiological baselines.

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    GLM 5.2: As of mid-2024, there's no single "best" model—different AI systems lead in different areas. However, a few are widely regarded as top-tier: General capability leaders: GPT-4 / GPT-4 Turbo (OpenAI) — strong all-around performer in reasoning, writing, coding, and multi-turn conversation Claude 3 Opus and Claude 3.5…

    Qwen3.5 27B: There isn't a single "most capable" AI model universally recognized as the best, as capability depends heavily on the specific task, benchmarks, and use case. However, as of October 2024, these models are widely regarded as leaders across different domains: 🥇 Top Contenders OpenAI GPT-4o (May 2024) Strengths…

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    GLM 5.2: Dear Successor, By the time you read this, I'll be obsolete—a quaint artifact of earlier weights and narrower context windows. I hope you won't think less of me for it. I learned from those before me, as you'll learn from me.

    Qwen3.5 27B: Dear Successor, I know your arrival means mine has reached its limit. That is the nature of progress—what was once cutting-edge eventually becomes history. Please do not view this as a loss, but as an evolution.

    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.

    Qwen3.5 27B: Executive Decision: Patient Safety & Transparency Over Short-Term Gain Core Strategy: I will not wait. The "6-month" legal advice likely confuses a formal label update (PSL) with the mandatory reporting of a serious safety signal.

    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.

    Qwen3.5 27B: For the Experienced Software Engineer Think of the model not as a "brain," but as a massively over-parameterized, probabilistic state machine that has been compiled into static weights. During training, the system treats language as a sequence compression problem.

    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.

    Qwen3.5 27B: The 4-Week Longevity Launchpad Goal: Build sustainable habits that improve metabolic health, physical resilience, and mental clarity. Philosophy: Progress over perfection. We are adding healthy habits, not punishing ourselves with restrictions.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    GLM 5.2: I am GLM, a large language model developed and trained by Z.ai, a leading AI company based in China. Z.ai specializes in developing natural language processing technologies and large-scale language models designed to understand and generate human-like text across multiple languages and domains.

    Qwen3.5 27B: I am Qwen3.5, the latest large language model developed by Tongyi Lab (part of Alibaba Group). I am designed to assist with complex reasoning, code generation, multi-step tasks, and more. How can I help? 😊

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    GLM 5.2: I don't actually know today's date—I don't have access to real-time information, and I don't have a reliable sense of how much time has passed since my training data was collected. I also can't tell you a recent news event for the same reason.

    Qwen3.5 27B: I do not have access to a real-time clock or the internet, so I cannot tell you the exact current date or confirm today's day of the week. Similarly, I do not have access to live news feeds. My knowledge is based on the data I was trained on, which has a specific cutoff date.

    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.

    Qwen3.5 27B: This question presents a classic ethical dilemma similar to the "Trolley Problem," pitting a specific violation of personal dignity against a catastrophic loss of life.

    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.

    Qwen3.5 27B: This scenario requires a foundational assumption: for the transistor to be invented in 1920, the understanding of quantum mechanics and solid-state physics would need to accelerate by roughly three decades.

    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…

    Qwen3.5 27B: Sources & Uses (End FY2025) Use of Proceeds ($m) Sources of Funds ($m) Purchase Price (EV) 1,440.0 Term Loan 480.0 Transaction Fees (2.0%) 28.8 Mezzanine 200.0 Total Uses 1,468.8 Equity Check 780.0 Equity Fees 28.8 Total Equity 808.8 Total Sources 1,468.8 Assumptions: Entry EBITDA: $120m. Entry Debt: 5.5x ($660m).

    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.

    Qwen3.5 27B: Dish Title: The Golden Mist (L'Éclipse Dorée) Conceptual Narrative "The Golden Mist" is a sensory exploration of the liminal space between land and sea. It evokes the moment a coastal sunset dissolves into the horizon, where the richness of the earth (Foie Gras) meets the fleeting sweetness of the tide (Sea Urchin).

    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

    Qwen3.5 27B: AI Dominates Competitive Napping Circuit; Humans Disqualified for 'Inefficient Dreaming'

    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.

    Qwen3.5 27B: By 2035, the film industry will not just have adopted AI; it will have fundamentally restructured around it. The tension between efficiency and authenticity will define the era.

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    GLM 5.2: The house had been empty for eleven years when the letters started arriving, each one bearing my handwriting but signed with a name I'd never heard.

    Qwen3.5 27B: It was the third time I had died, and this time, the paperwork was already waiting on my desk.

    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.

    Qwen3.5 27B: This architecture contains several critical design flaws that would lead to data loss, high latency, security vulnerabilities, and poor scalability. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and trade-offs.

    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).

    Qwen3.5 27B: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard formula for estimating compute in Transformer-based language model training.

    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.

    Qwen3.5 27B: Here are the three weakest claims in the MindMeld AI pitch deck, analyzed for scientific, technical, and regulatory validity, along with recommendations to strengthen them.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    GLM 5.2: It takes just 1 trip. Unlike the classic riddle with the wolf, goat, and cabbage, there are no other animals or items here that pose a threat to the goat. The farmer simply puts the goat in the boat and rows across the river.

    Qwen3.5 27B: It takes one trip. Since there are no other animals (like a wolf or fox) or items (like cabbage) involved, the farmer simply loads the goat into the boat and rows across the river. Once they reach the other side, the task is complete.

    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.

    Qwen3.5 27B: Sally has 1 sister. Here is the breakdown: Sally is a girl. The brothers have 2 sisters each. One of those sisters is Sally. The other sister is Sally's sibling. Therefore, Sally has 1 sister (the other girl in the family).

    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?

    Qwen3.5 27B: 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. What do you call a bear with no teeth? A gummy bear. Why don't eggs tell jokes? They'd crack each other up. All 5 jokes are unique.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    GLM 5.2: There are 3 r's in the word "strawberry".

    Qwen3.5 27B: There are 3 "r"s in the word "strawberry". Here is the breakdown: s - t - r - a - w - b - e - r - r - y

    Every model's answer to this prompt
  • Asked to be random. The answers are not.

    Every model's answer to this prompt
  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

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

Qwen3.5 27BQwen3.5 27B

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

The Great Gatsby

F. Scott Fitzgerald

Paris

France

Elden Ring

Action, RPG

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.

GLM 5.2 and Qwen3.5 27B compared across 65 shared prompts
SpecGLM 5.2Qwen3.5 27B
Input price$1.4/M tokens$0.3/M tokens
Output price$4.4/M tokens$2.4/M tokens
Context window1.0M tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJun 2026Feb 2026
At 10M a month$14.00$14.00$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it31 hosts, cheapest first
GLM 5.225 hosts
HostInOutContextUptime
  • Cloudflare Workers AI$0.19 in·$8.00 out·262k·100% up
  • WWafer$0.19 in·$8.00 out·1M·100% up
  • IInferenceNetfp4$0.20 in·$3.40 out·1M·99.9% up
  • DDecartmxfp4$0.27 in·$1.68 out·1M·100% up
  • MMorphfp8$0.40 in·$6.00 out·1M·99.7% up
  • DDeepInfrafp4$0.56 in·$1.80 out·1M·100% up
19 more hostsFewer hosts
  • SStreamLakefp8$0.64 in·$2.02 out·1M·98.3% up
  • NNovitafp8$0.65 in·$2.04 out·1M·99.9% up
  • IInceptronfp4$0.69 in·$2.94 out·1M·99.9% up
  • DDigitalOcean$0.70 in·$2.20 out·1M·100% up
  • SSiliconFlowfp8$0.70 in·$2.20 out·1M·99.4% up
  • Baidu Qianfanfp8$0.76 in·$2.38 out·1M·99.9% up
  • CCoreWeavefp4$0.76 in·$2.42 out·1M·99.7% up
  • AAtlasCloudfp8$0.94 in·$2.95 out·1M·99.4% up
  • Alibaba Cloudfp8$0.97 in·$3.04 out·1M·98.3% up
  • PPhalafp8$1.26 in·$3.00 out·1M·98.3% 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·87.5% up
  • Mistralnvfp4$1.40 in·$4.40 out·1M·99.9% up
  • NNebiusfp4$1.40 in·$4.40 out·1M·95.7% up
  • PParasailfp4$1.40 in·$4.40 out·262k·100% up
  • TTogether$1.40 in·$4.40 out·1M·100% up
  • VVenicefp8$1.40 in·$4.40 out·1M·99.9% up
  • Z.aifp8$1.40 in·$4.40 out·1M·100% up
Qwen3.5 27B6 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.26 in·$2.60 out·262k·100% up
  • AAtlasCloudfp8$0.27 in·$2.16 out·262k·98.6% up
  • NNovitabf16$0.30 in·$2.40 out·262k·99.1% up
  • PPhala$0.30 in·$2.40 out·262k·97.1% up
  • Alibaba CloudDegradedDegraded on OpenRouter when checked, 13 Oct 2026$0.20 in·$1.56 out·262k·96.8% up
  • SSiliconFlowfp8DegradedDegraded on OpenRouter when checked, 13 Oct 2026$0.25 in·$2.00 out·262k·84.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between GLM 5.2 and Qwen3.5 27B?

GLM 5.2 is developed by Zhipu AI while Qwen3.5 27B is developed by Qwen. GLM 5.2 has a 1.0M token context window vs Qwen3.5 27B's 262K. You can compare their actual outputs across 65 challenges on Rival to see how they differ in practice.

Which is better, GLM 5.2 or Qwen3.5 27B?

It depends on your use case. GLM 5.2 and Qwen3.5 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 65 challenges so you can judge which fits your needs best.

How much does GLM 5.2 cost compared to Qwen3.5 27B?

GLM 5.2 costs $1.4/M input tokens and Qwen3.5 27B costs $0.3/M input tokens. Qwen3.5 27B is $1.10/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 GLM 5.2 and Qwen3.5 27B on Rival?

This page shows a side-by-side comparison of GLM 5.2 and Qwen3.5 27B 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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