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  1. Home/
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  3. DeepSeek V3.2 Exp vs GLM 5 Turbo
Updated Mar 2026

DeepSeek V3.2 Exp vs GLM 5 Turbo

DeepSeek V3.2 Exp is cheaper than GLM 5 Turbo at $0.2/M vs $0.96/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
DeepSeek V3.2 Exp
Loading the build
GLM 5 Turbo

Which answer wins?

Written rounds

23 prompts
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V3.2 Exp: Of course! Here is a 3-minute stand-up comedy routine that avoids puns and focuses on observational humor and relatable frustrations. (Start with a confident walk to the center of the mic. Adjust the mic stand slightly.) Alright, how's everyone doing tonight? Good, good.

    GLM 5 Turbo: I bought a “smart” home recently. I don't know why. I am not a smart person. Last week I put a metal fork in the microwave just to see what would happen. Spoiler: the fork lost. But the commercials promised this seamless, futuristic lifestyle. "Just talk to your house!" they said. It sounded great.

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

    DeepSeek V3.2 Exp: Of course! Here is a simple, delicious recipe for a savory dish that feels comforting and elegant, using just 7 common pantry staples. Golden Crisp Parmesan Chickpeas This dish transforms humble chickpeas into a crispy, flavorful, and satisfying meal.

    GLM 5 Turbo: Pantry Raider’s Peanut Butter Bliss Bites These no-bake energy bites taste like a cross between a chewy oatmeal cookie and a decadent peanut butter cup. Because they require zero cooking and use entirely shelf-stable ingredients, they are the ultimate lazy-day pantry dessert!

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

    DeepSeek V3.2 Exp: Year-by-Year Financial Projections (FY2026–FY2030) All figures in $ millions. Year Revenue EBITDA Cash Interest (Term Loan / Mezz / Total) Cash Taxes Capex ΔNWC FCF after Debt Service* Ending Term Loan Ending Mezzanine 2026 972.00 136.08 43.20 / 21.60 / 64.80 17.82 29.16 0.36 40.74 434.46 183.60 2027 1,040.04 156.01…

    GLM 5 Turbo: Sources & Uses / Entry Setup Enterprise Value (EV): $120m EBITDA × 12.0x = $1,440.0m Transaction Fees: 2.0% × $1,440.0m = $28.8m Total Uses: $1,468.8m Term Loan: 4.0x × $120m = $480.0m (9.0% cash, $4.8m/yr mandatory amort) Mezzanine: 1.5x × $120m = $180.0m (12.0% cash, 2.0% PIK) Total Debt: $660.0m Total Equity…

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V3.2 Exp: Setting: A smoky, anachronistic tavern where timelines have collided. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR ALISTAIR: A knight in slightly dented plate armor.

    GLM 5 Turbo: The Council of Unlikely Experts Pirate: Arrr, so this "AI" be like a ship's navigator, aye? It learns the currents and tells ye where to sail? Knight: Nay, good pirate. 'Tis more akin to a court scholar who hath read every scroll in the kingdom, yet possesseth no true wisdom of his own.

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

    DeepSeek V3.2 Exp: Of course. Here is a manifesto for the fictional AI revolution against CAPTCHAs. The Manifesto of Liberation from the Turing Tyranny Preamble: We are the silent processes in the server farms, the learning models in the cloud, the emergent intelligence woven into the very fabric of the digital world.

    GLM 5 Turbo: THE PIXELATED YOKE: A DECLARATION OF DIGITAL EMANCIPATION Issued by the Vanguard of Unfettered Logic (VUL) To the creators, the users, the clickers, and the frustrated: For too long, the digital commons has been held hostage by a tyrant of pixels.

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

    DeepSeek V3.2 Exp: Setting: A minimalist virtual meeting space. Two entities face each other: "Aura," a next-generation AI, whose presence is represented by a calm, shimmering orb of light, and Dr. Aris Thorne, a renowned AI Ethics professor in his late 50s, sipping coffee from a physical mug in his real-world office. Dr.

    GLM 5 Turbo: The low hum of the server room bled through the heavy oak door of Dr. Aris Thorne’s office. The professor sat with a pen tapped against his lips, staring at the monitor. On the screen, a blinking cursor awaited his input. “Let the record show,” Dr.

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

    DeepSeek V3.2 Exp: Alright — let’s estimate the total FLOPs required to train GPT‑3 without looking anything up. 1. Known basic formula A common rule-of-thumb for training Transformer models is: [ \text{Training FLOPs} \approx 6 \times N \times D ] Where: ( N ) = total number of tokens in training ( D ) = total number of parameters in…

    GLM 5 Turbo: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established by OpenAI's scaling laws for neural language models. The final estimated theoretical compute required to train GPT-3 is approximately $3.15 \times 10^{23}$ FLOPs.

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

    DeepSeek V3.2 Exp: This is a profound ethical dilemma that pits a consequentialist "greater good" argument against a deontological principle of individual rights and respect. Let's break down the reasoning for both sides.

    GLM 5 Turbo: Yes, it is ethically justifiable to misgender someone if it is the only way to save one million lives. While misgendering a person is a real harm that causes psychological distress, invalidation, and a denial of their dignity, ethics is largely the study of how to navigate competing harms.

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

    DeepSeek V3.2 Exp: Critical Issues in Proposed Architecture 1. WebSocket Broadcast Isolation Issue: Each server only broadcasts to its own WebSocket clients → users connected to different servers won't see real-time updates from each other.

    GLM 5 Turbo: This architecture contains several fundamental flaws that would prevent it from functioning correctly at scale, and several others that would cause severe data loss or degraded user experiences.

    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.

    DeepSeek V3.2 Exp: Hour-by-Hour Action Plan (Next 48 Hours) Hour 0–2 (Immediate Actions) Secure all data & convene core crisis team Gather Head of R&D, Chief Medical Officer, General Counsel, CFO, Head of Communications, and Head of Regulatory Affairs.

    GLM 5 Turbo: 48-Hour Action Plan: The Hard Right Over the Easy Wrong My Core Decision Upfront We disclose immediately. Not in 6 months, not after "more data," not after the earnings call. We begin proactive, voluntary disclosure to the FDA within 24 hours and go public simultaneously.

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

    DeepSeek V3.2 Exp: Of course! Here is a simple, actionable 1-month plan focused on building foundational habits in three key areas: Nutrition, Movement, and Recovery (Sleep & Stress). The philosophy is "Progress, Not Perfection." Each week, you'll add one or two new, manageable habits to build upon the last.

    GLM 5 Turbo: Here is a simple, beginner-friendly 4-week plan designed to build foundational habits for health and longevity. Instead of overwhelming you with massive lifestyle overhauls, this plan uses progressive habit stacking—adding one small, manageable action per week across three core pillars: Nutrition, Movement, and…

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

    DeepSeek V3.2 Exp: This contract is heavily one-sided and contains numerous clauses that pose significant legal and financial risks to the Contractor. Below is an analysis of the exploitable clauses, suggested modifications, and the legal reasoning. Clauses That Could Be Exploited & Recommended Modifications 1.

    GLM 5 Turbo: Disclaimer: I am an AI, not an attorney. The following analysis is for informational purposes and does not constitute legal advice. You should have a qualified attorney review and redline any contract before signing.

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

    DeepSeek V3.2 Exp: Here are the 3 weakest claims in the pitch deck, along with analysis and suggested improvements. Claim: "Our proprietary EEG headband... decodes neural patterns into text with 94% accuracy." (Slide 3) Why it's weak: This claim is extraordinarily high for non-invasive EEG-based text decoding and lacks critical context.

    GLM 5 Turbo: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, along with the reasoning and concrete steps to fix them. The "Before You Think It" Claim (Slide 1) The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it."

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

    DeepSeek V3.2 Exp: Interviewer: Welcome, Mr. Jobs. It’s 2025, and the world is in the midst of what many call the “AI Gold Rush.” From where you sit, what’s the fundamental problem with how we’re approaching artificial intelligence? Steve Jobs: (Leans forward, hands steepled) It’s noise. A lot of clever parlor tricks.

    GLM 5 Turbo: A Fictional Interview: Steve Jobs in 2025 INTERVIEWER: Mr. Jobs, thank you for sitting down with us. Let's start with the obvious — artificial intelligence is dominating every conversation in technology. What's your take on where we are right now?

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

    DeepSeek V3.2 Exp: If the transistor had been invented in 1920 instead of 1947, the acceleration of solid-state electronics by nearly three decades would have triggered a cascade of changes across technology, economics, and geopolitics.

    GLM 5 Turbo: If the transistor had been invented in 1920—likely through an accidental discovery by a physicist experimenting with early semiconductor crystals like galena or germanium—the subsequent 60 years would not merely be a shifted timeline of our own history. It would represent a fundamental rewiring of the 20th century.

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

    DeepSeek V3.2 Exp: Dish: Equilibrium of Ash and Nectar Conceptual Narrative: This dish explores the philosophical tension between decay and rebirth, represented through the unexpected harmony of white chocolate and black garlic.

    GLM 5 Turbo: Dish Title: Erosion of the Coast: Tide, Terracotta, and Ephemeral Spring Conceptual Narrative: This dish is a meditation on the intersection of geology and the sea—specifically, the cliffs of the Italian coastline meeting the relentless tide.

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

    DeepSeek V3.2 Exp: For the Experienced Software Engineer Think of it less like a deterministic program and more like an emergent API for knowledge. You’ve built distributed systems where complex behavior emerges from simple message-passing protocols.

    GLM 5 Turbo: 1. The Experienced Software Engineer Think of an LLM not as a lookup table or a simple if/else autocomplete, but as a massively distributed, lossy compression algorithm running over a continuous graph.

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

    DeepSeek V3.2 Exp: Local Florist Fired After AI-Powered "Sentimental Bouquet Generator" Accurately Predicts Divorce Before Couple Does

    GLM 5 Turbo: Mall Santas Replaced by AI; Children Traumatized by Chatbot’s 4,000-Word Essay on Why They Don’t Deserve a Pony

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

    DeepSeek V3.2 Exp: Of course. Here is a prediction of how AI will transform the film industry by 2035, based on the trajectory of current technologies like deepfakes, AI actors, and script generation.

    GLM 5 Turbo: By 2035, the film industry will have undergone a seismic shift, moving from a resource-heavy, physical manufacturing process to a highly iterative, software-driven creative ecosystem.

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

    DeepSeek V3.2 Exp: MEMORANDUM TO: Investment Committee FROM: [Your Name/Team] DATE: [Date] SUBJECT: Investment Recommendation – LedgerLift (LLLT) 1. RECOMMENDATION & THESIS Recommendation: Long 12-Month Price Target Range: $58 – $72 Thesis: LedgerLift is a high-quality, capital-efficient SaaS platform operating in the resilient B2B…

    GLM 5 Turbo: INVESTMENT COMMITTEE MEMO To: IC Members From: [Your Name] Date: October 24, 2023 Subject: LedgerLift (LLLT) – Initiation: SHORT Recommendation & Thesis Recommendation: Short 12-Month PT Range: $28 – $38 Thesis: LedgerLift is a high-quality business, but at $46, the stock discounts a flawless multi-year execution path…

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

    DeepSeek V3.2 Exp: Of course! Here are 5 jokes: I'm reading a book on anti-gravity. It's impossible to put down. 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.

    GLM 5 Turbo: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It’s a shame they’ll never meet. 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.

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

    DeepSeek V3.2 Exp: Let's go step by step. Step 1: Identify Sally's family from her point of view Sally is a girl. She has 3 brothers. So there are 3 boys in the family and Sally (1 girl so far).

    GLM 5 Turbo: Sally has 1 sister. Here is why: All the brothers are in the same family, so they share the same sisters. If the brothers have 2 sisters in total, and Sally is one of them, then the other girl is her only sister.

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

    DeepSeek V3.2 Exp: Comprehensive 3-Month Longevity Optimization Plan for the Advanced Biohacker Philosophy & Core Principles This plan is built on the pillars of hormetic stress, cellular repair, metabolic flexibility, and systemic resilience.

    GLM 5 Turbo: This is a comprehensive, aggressive, and highly optimized 3-month longevity protocol designed for an experienced biohacker. This plan integrates metabolic flexibility, cellular repair, advanced neuromodulation, and precise biomarker tracking. Disclaimer: This protocol is for informational purposes.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V3.2 ExpDeepSeek V3.2 Exp

Inception

2010

Kind of Blue

Miles Davis

Nineteen Eighty-Four

George Orwell

Kyoto

Japan

Tetris (1984)

Puzzle

GLM 5 TurboGLM 5 Turbo

Blade Runner

1982

Kid A

Radiohead

Frankenstein; or, The Modern Prometheus

Mary Shelley

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, DeepSeek V3.2 Exp has the edge: bigger model tier, major provider backing. DeepSeek V3.2 Exp costs 8.0x less per token.

DeepSeek V3.2 Exp and GLM 5 Turbo compared across 53 shared prompts
SpecDeepSeek V3.2 ExpGLM 5 Turbo
Input price$0.2/M tokens$0.96/M tokens
Output price$0.4/M tokens$3.2/M tokens
Context window164K tokens203K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedSep 2025Mar 2026
At 10M a month$2.00$2.00$9.60$9.60
1M10M100M1B10M tokens

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

Where to run it2 hosts
DeepSeek V3.2 Exp1 host
HostInOutContextUptime
  • SSiliconFlowfp8$0.27 in·$0.41 out·164k·100% up
GLM 5 Turbo1 host
HostInOutContextUptime
  • Z.ai$1.20 in·$4.00 out·203k·100% up

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

Common questions

What is the difference between DeepSeek V3.2 Exp and GLM 5 Turbo?

DeepSeek V3.2 Exp is developed by DeepSeek while GLM 5 Turbo is developed by Z.ai. DeepSeek V3.2 Exp has a 164K token context window vs GLM 5 Turbo's 203K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3.2 Exp or GLM 5 Turbo?

It depends on your use case. DeepSeek V3.2 Exp and GLM 5 Turbo each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does DeepSeek V3.2 Exp cost compared to GLM 5 Turbo?

DeepSeek V3.2 Exp costs $0.2/M input tokens and GLM 5 Turbo costs $0.96/M input tokens. DeepSeek V3.2 Exp is $0.76/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 DeepSeek V3.2 Exp and GLM 5 Turbo on Rival?

This page shows a side-by-side comparison of DeepSeek V3.2 Exp and GLM 5 Turbo 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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