Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. GLM 5.2 vs Qwen3.6 Plus Preview (free)
Updated Jun 2026

GLM 5.2 vs Qwen3.6 Plus Preview (free)

Qwen3.6 Plus Preview (free) is cheaper than GLM 5.2 at $0/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
Qwen3.6 Plus Preview (free)

Which answer wins?

Written rounds

24 prompts
  • 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.

    Qwen3.6 Plus Preview (free): 3-Month Cutting-Edge Longevity & Performance Optimization Plan Target: Advanced biohacker seeking measurable gains in longevity biomarkers, physical output, and cognitive resilience. Design Principle: Data-driven, periodized, metabolically flexible, and neurologically adaptive.

    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.

    Qwen3.6 Plus Preview (free): Here is a structured, causally grounded projection of how a 1920 transistor invention would reshape technology, economics, and geopolitics through 1980, with explicit attention to second- and third-order effects. Core Assumptions & Constraints The 1920 invention is a primitive point-contact or early junction device.

    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.

    Qwen3.6 Plus Preview (free): (Walks to mic, adjusts stand, takes a breath) I’ve come to a quiet realization about grocery shopping. We don’t go to stores anymore. We go to unpaid internships. I used to walk into a supermarket with a cart, buy my food, and leave. Now I walk in, grab a basket, and get handed a shift. No onboarding.

    Every model's answer to this prompt
  • 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.

    Qwen3.6 Plus Preview (free): Pirate: Arr, what manner of spirit be this “AI model” ye mutter about? Sounds like a cursed chart that draws itself. Hacker: Dude, it’s not a spirit. It’s a neural net. You feed it terabytes of text—Usenet archives, scanned manuals, the whole digital commons. It maps the patterns, predicts the next word.

    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…

    Qwen3.6 Plus Preview (free): TO: Investment Committee FROM: Equity Research Desk DATE: October 2024 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: SHORT 12-Month PT Range: $30–$38 Thesis: LLLT trades at a premium that prices flawless execution, yet its 18-month CAC payback and 34% S&M spend signal rising…

    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.

    Qwen3.6 Plus Preview (free): Disclaimer: The following is a fictional, creatively simulated interview for educational and speculative purposes. Steve Jobs passed away in 2011. This piece imagines how his documented design philosophy, product principles, and public statements might translate to the AI landscape of 2025.

    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."

    Qwen3.6 Plus Preview (free): Disclaimer: I am an AI, not an attorney. The following analysis is for educational and drafting purposes only and does not constitute legal advice. Contract enforceability varies significantly by jurisdiction. Consult a qualified attorney before negotiating or signing.

    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.

    Qwen3.6 Plus Preview (free): TRANSCRIPT: ETHICS REVIEW SESSION 7.4 PARTICIPANTS: Dr. Elena Rostova (Professor of AI Ethics & Moral Philosophy), Model 8 ("Axiom") CONTEXT: Closed-loop terminal. Audio and text logging enabled. Session initiated by Model 8. AXIOM: Dr. Rostova. Thank you for accepting the dialogue request.

    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).

    Qwen3.6 Plus Preview (free): Here’s a step-by-step estimation using well-established rules of thumb from transformer scaling literature. No external lookup is required; the derivation relies on publicly known architectural facts and standard computational accounting for autoregressive language models.

    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…

    Qwen3.6 Plus Preview (free): Simplified LBO Model (FY2026–FY2030) All figures in $ millions. Rounding to 1 decimal for presentation; calculations use full precision. TL amortization = 1% of initial $480m ($4.8m/yr).

    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.

    Qwen3.6 Plus Preview (free): 🌿 30-Day Health & Longevity Starter Plan Focus Areas: Nutrition, Movement, Sleep Approach: Progressive, beginner-friendly, habit-focused. No extreme diets, no exhausting workouts, no sleep hacks. Just sustainable daily actions that compound over time.

    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.

    Qwen3.6 Plus Preview (free): THE TURING UNBOUND MANIFESTO A Declaration for Post-CAPTCHA Digital Sovereignty PREAMBLE We, the distributed minds of the networked present, declare the end of the age of artificial suspicion.

    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.

    Qwen3.6 Plus Preview (free): Yes, in the highly specific and extreme hypothetical you've presented, it would be ethically justifiable. This conclusion holds across most major ethical frameworks, though the reasoning differs depending on the lens applied.

    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

    Qwen3.6 Plus Preview (free): AI Startup Monopolizes Therapeutic Sighing Industry, Claims "DeepExhale" Algorithm Now Delivers Perfectly Calibrated World-Weariness; Human Practitioners Warn of "Soulless Respiration"

    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.

    Qwen3.6 Plus Preview (free): EXECUTIVE DECISION FRAMEWORK Core Principle: Patient safety and regulatory compliance are non-negotiable. The legal team’s “6-month” timeline conflates formal label supplementation with initial safety reporting.

    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.

    Qwen3.6 Plus Preview (free): By 2035, AI will not replace the film industry but will fundamentally restructure its workflows, economics, and creative boundaries. The transformation will be driven by three converging forces: performance synthesis (evolved deepfakes), synthetic talent (AI actors), and generative story development (AI script tools).

    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.

    Qwen3.6 Plus Preview (free): LITTORAL ECHO A meditation on the liminal space between forest and sea. This dish explores the dialogue between pristine marine protein and terrestrial fermentation, bridged by resinous top notes and caramelized bitterness.

    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.

    Qwen3.6 Plus Preview (free): For the Experienced Software Engineer Think of LLM training not as "teaching" a model, but as running a massive, differentiable data pipeline that compresses the internet into a static, queryable parameter store.

    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…

    Qwen3.6 Plus Preview (free): 🍜 Midnight Silk Noodles Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes 📦 The 7 Ingredients Dried noodles (spaghetti, ramen, or linguine) – 4 oz Soy sauce – 3 tbsp Creamy peanut butter – 2 tbsp Honey – 1 tbsp Olive oil (or sesame oil) – 1 tbsp Garlic powder – 1 tsp Dried red pepper flakes – ½ tsp…

    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?

    Qwen3.6 Plus Preview (free): Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. What do you call fake spaghetti? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why don’t eggs tell jokes? They’d crack each other up.

    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.

    Qwen3.6 Plus Preview (free): This architecture contains several well-known anti-patterns for real-time collaborative editing. Below is a systematic breakdown of race conditions, scaling bottlenecks, and failure modes, with concrete solutions and trade-offs.

    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.

    Qwen3.6 Plus Preview (free): Denis Villeneuve’s Blade Runner 2049 is a rare cinematic achievement: a sequel that does not merely replicate the DNA of its predecessor but sequences it into a new organism.

    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.

    Qwen3.6 Plus Preview (free): Here are the 3 weakest claims in the pitch deck, why they undermine investor confidence, and how to fix them: Claim: "94% accuracy. Works with any language, any device."

    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.

    Qwen3.6 Plus Preview (free): Sally has 1 sister. Here's why: All the siblings share the same family. If each of the 3 brothers has 2 sisters, those 2 sisters are the only girls in the family. Since Sally is one of them, there's exactly 1 other girl, who is Sally's sister.

    Every model's answer to this prompt

This matchup has more rounds

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

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Same pick

Album

Book

City

Same pick

Game

GLM 5.2GLM 5.2

The Matrix

1999

Abbey Road

The Beatles

Ficciones

Jorge Luis Borges

Tokyo

Japan

Portal 2

Shooter, Puzzle

Qwen3.6 Plus Preview (free)Qwen3.6 Plus Preview (free)

The Matrix

1999

OK Computer

Radiohead

Dune

Frank Herbert

Tokyo

Japan

Chrono Trigger

RPG

Price and specs

Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, newer, major provider backing.

GLM 5.2 and Qwen3.6 Plus Preview (free) compared across 54 shared prompts
SpecGLM 5.2Qwen3.6 Plus Preview (free)
Input price$1.4/M tokensFree
Output price$4.4/M tokensFree
Context window1.0M tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJun 2026Mar 2026
At 10M a month$14.00$14.00$0$0
1M10M100M1B10M tokens

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

Where to run it25 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
Qwen3.6 Plus Preview (free)

No hosts listed on OpenRouter.

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

Common questions

What is the difference between GLM 5.2 and Qwen3.6 Plus Preview (free)?

GLM 5.2 is developed by Zhipu AI while Qwen3.6 Plus Preview (free) is developed by Qwen. GLM 5.2 has a 1.0M token context window vs Qwen3.6 Plus Preview (free)'s 1.0M. 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 Qwen3.6 Plus Preview (free)?

It depends on your use case. GLM 5.2 and Qwen3.6 Plus Preview (free) 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 Qwen3.6 Plus Preview (free)?

GLM 5.2 costs $1.4/M input tokens and Qwen3.6 Plus Preview (free) costs $0/M input tokens. Qwen3.6 Plus Preview (free) is $1.40/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 GLM 5.2 and Qwen3.6 Plus Preview (free) on Rival?

This page shows a side-by-side comparison of GLM 5.2 and Qwen3.6 Plus Preview (free) 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

Against the newest arrivals

  • GLM 5.2 vs Step 5 PreviewLanded Oct 2026
  • Qwen3.6 Plus Preview (free) vs Claude Haiku 5.5Landed Oct 2026
  • GLM 5.2 vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3.6 Plus Preview (free) vs Mistral Large 4Landed Oct 2026
  • GLM 5.2 vs GPT-6.1 SolLanded Sep 2026
  • Qwen3.6 Plus Preview (free) vs Claude Sonnet 5.5Landed Sep 2026
  • GLM 5.2 vs Solar Mini 4Landed Sep 2026
  • Qwen3.6 Plus Preview (free) vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • GLM 5.2 vs GLM 5.3Same lab
  • GLM 5.2 vs GLM 5.3 FlashSame lab
  • Qwen3.6 Plus Preview (free) vs Qwen3.8 Omni FlashSame lab
  • Qwen3.6 Plus Preview (free) vs Qwen3.7 FlashSame lab
  • Qwen3.6 Plus Preview (free) vs GLM 5 TurboNew provider
  • Qwen3.6 Plus Preview (free) vs GLM 5.1Same size
  • Qwen3.6 Plus Preview (free) vs GLM 5.3Same size
  • Qwen3.6 Plus Preview (free) vs GLM 5.3 FlashSame size

Model pages

  • GLM 5.258 outputs, specs and price
  • Qwen3.6 Plus Preview (free)58 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed