DeepSeek V3.2 Exp is cheaper than GLM 5 Turbo at $0.2/M vs $0.96/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
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.
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!
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…
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.
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.
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.
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.
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.
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.
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.
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…
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.
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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.
| Spec | ||
|---|---|---|
| Input price | $0.2/M tokens | $0.96/M tokens |
| Output price | $0.4/M tokens | $3.2/M tokens |
| Context window | 164K tokens | 203K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Mar 2026 |
| At 10M a month | $2.00 | $9.60 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
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.
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.
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.
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.