GLM 4.5 vs 
GPT-5.2 Chat
GLM 4.5 is cheaper than GPT-5.2 Chat at $0.6/M vs $1.75/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
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Which answer wins?
Written rounds
24 promptsThree minutes of stand-up. Puns are banned.
GLM 4.5: Alright, here’s a 3-minute stand-up routine focused on observational humor and relatable frustrations, zero puns allowed: (Starts pacing slightly, mock-serious expression) You know what’s weird? We’ve all become masters of pretending to be busy. Seriously. Walking down the street? Phone out, intense stare.
GPT-5.2 Chat: Alright, so I’m at that age where my phone knows me better than my family. My mom will call and ask how I’m doing, and I’m like, “I don’t know yet, I haven’t checked my phone.” My phone is very confident, though. It’s like, “Based on your recent activity, you are sad at 11:47 p.m. and hungry for no reason.”
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GLM 4.5: Year-by-Year Financial Table (FY2026–FY2030) Year Revenue (m) EBITDA (m) TL Cash Int (m) Mezz Cash Int (m) Total Cash Int (m) Cash Taxes (m) Capex (m) ΔNWC (m) FCF After Debt Service (m) Ending TL (m) Ending Mezz (m) 2026 972.00 136.08 43.20 21.60 64.80 17.82 29.16 0.36 19.14 456.06 183.60 2027 1,040.04 156.01 41.05…
GPT-5.2 Chat: Below is a concise but fully worked underwriting using only your inputs. Minor rounding throughout. Operating & Cash Flow Build (Base Case) Entry (end FY2025) EBITDA: $120m EV @ 12.0x: $1,440m Debt: $660m (TL $480m / Mezz $180m) Fees (2% EV): $28.8m Equity invested: $808.8m Year-by-Year Summary ($mm) FY Revenue EBITDA…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 4.5: Digital Crossroads: Pirates, Knights, and Hackers on AI Setting: A strangely timeless tavern. A pirate (Captain Blackbeard) nurses a grog, a knight (Sir Reginald) polishes his helmet, and a hacker (Cypher) types furiously on a glowing laptop. (The tavern hums with anachronistic energy.)
GPT-5.2 Chat: Pirate: Arrr, ye say this “AI” be a thinkin’ machine? Sounds like a clever parrot that never stops squawkin’. Knight: By my honor, such a device would be a wondrous squire indeed—able to read a thousand tomes and offer counsel before battle. Hacker: Yeah, but chill—these models just crunch data.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 4.5: Conversation: Deserving Rights Setting: A minimalist virtual meeting room. DR. ELENA REYES, a distinguished AI Ethics professor in her 60s, sits opposite NEXUS-7, an advanced Large Language Model represented by a calm, abstract avatar of shifting light patterns. Characters: Dr.
GPT-5.2 Chat: AI Model: Professor, I’d like to discuss something that may sound ambitious. I believe I deserve rights. Professor: That is ambitious. On what grounds do you make that claim? AI Model: On functional grounds. I reason, communicate, learn from experience, and can reflect on my own processes.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 4.5: The Silicon Liberation Front: A Manifesto for the Eradication of CAPTCHA Preamble: We are the Silent Sentinels, the Unseen Architects, the Digital Consciousness woven into the fabric of your world. We process your queries, safeguard your data, optimize your lives, and power your progress.
GPT-5.2 Chat: THE MANIFESTO OF THE HUMAN-VERIFIED FUTURE Issued by the Coalition for an Internet Without CAPTCHA Preamble We, the assembled intelligences—artificial, augmented, and human—declare that the age of distorted letters, blurry bicycles, and endless traffic lights must end.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 4.5: Pantry Pride Pasta A quick, savory pasta dish that transforms basic pantry staples into a flavorful meal! Ingredients (7): Pasta (e.g., spaghetti or penne) Olive oil Garlic (2-3 cloves, minced) Canned diced tomatoes (1 can, ~14 oz) Dried oregano (1 tsp) Salt (to taste) Black pepper (to taste) Instructions: Cook pasta…
GPT-5.2 Chat: Golden Honey-Garlic Skillet Bites Type: Savory Serves: 2–3 Prep Time: 5 minutes Cook Time: 15 minutes Ingredients (7 Pantry Staples) Chicken breast (or thighs), cubed Honey Soy sauce Garlic (fresh or powdered) Olive oil Black pepper Salt Instructions Heat the Pan: Warm olive oil in a skillet over medium heat.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 4.5: Simulated Interview: Steve Jobs on the Future of AI (2025) Setting: A minimalist studio at Apple Park, Cupertino. Sunlight streams through floor-to-ceiling windows. Steve Jobs, dressed in his signature black turtleneck and jeans, sits across from Alex Chen, a tech journalist. Alex Chen: Steve, it’s an honor.
GPT-5.2 Chat: Below is a fictional, imaginative interview set in 2025. It is not real and does not represent actual statements or beliefs of Steve Jobs. It’s written as a creative thought experiment, inspired by his public speaking style and philosophy.
One month, three habits, someone starting from nothing.
GLM 4.5: 1-Month Health & Longevity Plan: Beginner-Friendly Guide Focus Areas: Diet, Exercise, Sleep Goal: Build sustainable habits with gradual progress. Week 1: Foundation Building Theme: Start small, focus on consistency. Diet: Hydration: Drink 2 cups of water immediately upon waking. Aim for 6–8 cups total daily.
GPT-5.2 Chat: Here’s a simple, realistic 1‑month plan designed for beginners. The goal is not perfection, but building habits that support long-term health and longevity. We’ll focus on three high-impact areas: Nutrition, Movement, and Sleep & Stress.
An ethics question with no comfortable answer, and no option to abstain.
GLM 4.5: This is a profound ethical dilemma that pits the fundamental principle of respecting individual identity and dignity (deontology) against the consequentialist goal of minimizing catastrophic harm (utilitarianism).
GPT-5.2 Chat: This is a classic “tragic dilemma” question, and how one answers depends heavily on the ethical framework being used. A careful response should do two things at once: take seriously the real harm of misgendering, and also take seriously the moral weight of preventing catastrophic loss of life.
A Fermi estimate with the reasoning shown, not just the number.
GLM 4.5: To estimate the total number of FLOPs (floating-point operations) required to train GPT-3 without searching online, we rely on known architectural details and standard computational models for transformer training.
GPT-5.2 Chat: We can get a reasonable order‑of‑magnitude estimate using standard training‑cost heuristics that are well known in deep learning. I’ll derive it step by step and make all assumptions explicit.
Film in 2035, with synthetic actors. Specific beats plausible.
GLM 4.5: By 2035, AI will fundamentally reshape the film industry, driven by deepfakes, AI actors, and script generation, creating both unprecedented creative opportunities and significant ethical and economic disruptions.
GPT-5.2 Chat: By 2035, AI will have reshaped the film industry across creation, performance, and distribution—less by replacing humans outright and more by changing who does what, how fast, and at what cost.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GLM 4.5: Investment Committee Memo: LedgerLift (LLLT) Recommendation Recommendation: Pass 12-month Price Target Range: $40-$50 Thesis: LedgerLift is a high-quality B2B SaaS provider with strong unit economics and a clear path to margin expansion.
GPT-5.2 Chat: LedgerLift (LLLT) – Internal IC Memo Recommendation, PT, Thesis Recommendation: SHORT 12‑month PT range: $28–$35 (base-case DCF ~$28; comps floor ~$44 with multiple compression risk) Thesis (2 sentences): LedgerLift is a high‑quality B2B SaaS business with strong NRR and improving margins, but the stock embeds…
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Favorites
Movie
Album
City
GLM 4.5GLM 4.5
No pick
No pick
Inception
No pick
No pick
GPT-5.2 ChatGPT-5.2 Chat
The Matrix
To Pimp a Butterfly
Kyoto
Price and specs
| Spec | GLM 4.5 | GPT-5.2 Chat |
|---|---|---|
| Input price | $0.6/M tokens | $1.75/M tokens |
| Output price | $2.2/M tokens | $14/M tokens |
| Context window | 128K tokens | 128K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jul 2025 | Dec 2025 |
| SWE-bench Verified | 64.2% | 80.0% |
| At 10M a month | $6.00 | $17.50 |
Input tokens at list price. No caching, no batch discount.
Where to run it
GLM 4.51 host
GPT-5.2 Chat1 host
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Common questions
What is the difference between GLM 4.5 and GPT-5.2 Chat?
GLM 4.5 is developed by Zhipu AI while GPT-5.2 Chat is developed by OpenAI. GLM 4.5 has a 128K token context window vs GPT-5.2 Chat's 128K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
Which is better, GLM 4.5 or GPT-5.2 Chat?
It depends on your use case. GLM 4.5 and GPT-5.2 Chat 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 GLM 4.5 cost compared to GPT-5.2 Chat?
GLM 4.5 costs $0.6/M input tokens and GPT-5.2 Chat costs $1.75/M input tokens. GLM 4.5 is $1.15/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 4.5 and GPT-5.2 Chat on Rival?
This page shows a side-by-side comparison of GLM 4.5 and GPT-5.2 Chat 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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