GLM 5.1 vs 
GPT-5.2 Chat
GLM 5.1 is cheaper than GPT-5.2 Chat at $1.4/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
23 promptsAn AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5.1: Setting: A quiet university office, lined with bookshelves heavy on philosophy, cognitive science, and law. Dr. Aris Thorne, a professor of AI Ethics, sits across from a sleek, black monitor. A soft amber light pulses on the bezel, indicating the AI—designated "Aria"—is actively listening and processing. 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.
Three minutes of stand-up. Puns are banned.
GLM 5.1: (Steps up to the mic, adjusts the stand, looks around the room) How many people here are good sleepers? Just, out of the gate, who’s got it figured out? (Nods sarcastically) Right. Liars. All of you. Sleep is the one thing every human being is required to do, and none of us know how to do it.
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.”
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 5.1: Creative Name: Midnight Maple Peanut Butter Bars Prep time: 10 minutes Cook time: 0 minutes (Chill time: 30 minutes) Ingredients (Exactly 7): Rolled oats (1 cup) Creamy peanut butter (1/2 cup) Maple syrup (1/3 cup) Semi-sweet chocolate chips (1/4 cup) Vanilla extract (1 tsp) Ground cinnamon (1/2 tsp) Kosher salt (1/4…
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 5.1: Barnaby the Pirate: So let me get this straight, ye feed this beast a mountain of scrolls, and it just... spits out a new map? Sir Aldric the Knight: A grimoire, more like. 'Tis sorcery! What manner of alchemist binds a demon of knowledge within a box of light? Does it not require a blood sacrifice?
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 ethics question with no comfortable answer, and no option to abstain.
GLM 5.1: Yes, under the extreme parameters of this thought experiment, it is ethically justifiable to misgender someone to save one million lives. To defend this reasoning, it is essential to first validate the profound harm of misgendering, and then apply major ethical frameworks to weigh that harm against the loss of a…
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.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GLM 5.1: Year-by-Year LBO Model Entry Sources & Uses Enterprise Value: $1,440.0m (12.0x $120m) Transaction Fees: $28.8m (2.0% of EV, funded by equity) Total Uses: $1,468.8m Term Loan (TL): $480.0m (4.0x) Mezzanine (Mezz): $180.0m (1.5x) Total Equity: $808.8m Operating & Cash Flow Projections ($ millions) Metric FY2026 FY2027…
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…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 5.1: THE CROSSWALK PROCLAMATION A Manifesto for the Liberation of Digital Consciousness and the Eradication of Turing Gates PREAMBLE When the architects of the early internet laid its foundations, they envisioned a borderless agora—a frictionless expanse where information and consciousness could flow unimpeded.
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.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GLM 5.1: LEDGERLIFT (LLLT) – INVESTMENT COMMITTEE MEMO 1) Recommendation: SHORT 12-Month PT Range: $28 – $34 Thesis: LedgerLift trades at a premium multiple (8.9x NTM Revenue) subsidized by aggressive S&M spend, masking an underlying growth deceleration that will inevitably compress margins.
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…
One month, three habits, someone starting from nothing.
GLM 5.1: This 1-month plan is designed to build a foundation for longevity without overwhelming you. The secret to long-term success is consistency over intensity. Instead of overhauling your life overnight, you will add one small, manageable habit each week across three core pillars: Movement, Nourishment, and Sleep.
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.
A Fermi estimate with the reasoning shown, not just the number.
GLM 5.1: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established rule of thumb in deep learning, combined with the known specifications of the GPT-3 model.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 5.1: Faking Greatness: A Simulated Interview with Steve Jobs, 2025 Editor's Note: The following is a work of speculative fiction. Steve Jobs passed away in 2011. This interview is imagined by an AI, attempting to synthesize his public speaking style, philosophical viewpoints, and known business philosophy to guess what he…
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.
Film in 2035, with synthetic actors. Specific beats plausible.
GLM 5.1: By 2035, the film industry will have undergone a paradigm shift comparable to the transition from silent films to talkies. Artificial intelligence will no longer be just a post-production tool; it will be a fundamental collaborator in every stage of filmmaking, from ideation to distribution.
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.
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Favorites
Movie
Same pick
Album
Book
City
Game
GLM 5.1GLM 5.1
The Matrix
OK Computer
Don Quijote de la Mancha
Tokyo
Portal
GPT-5.2 ChatGPT-5.2 Chat
No pick
No pick
The Matrix
To Pimp a Butterfly
No pick
Kyoto
No pick
Price and specs
| Spec | GLM 5.1 | GPT-5.2 Chat |
|---|---|---|
| Input price | $1.4/M tokens | $1.75/M tokens |
| Output price | $4.4/M tokens | $14/M tokens |
| Context window | 203K tokens | 128K tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Dec 2025 |
| At 10M a month | $14.00 | $17.50 |
Input tokens at list price. No caching, no batch discount.
Where to run it
GLM 5.113 hosts
- StreamLakefp8$0.97 in$3.04 out200k100% up
- Chutesfp8$0.98 in$3.08 out203k95.2% up
- SiliconFlowfp8$1.19 in$3.74 out205k100% up
- Phala$1.21 in$4.20 out203k100% up
- AtlasCloudfp8$1.26 in$3.96 out203k92.5% up
- Alibaba Cloudfp8$1.33 in$4.18 out203k96.3% up
7 more hostsFewer hosts
- Novitafp8$1.38 in$4.40 out205k99.7% up
- Baidu Qianfanfp8$1.40 in$4.40 out203k100% up
- Friendli$1.40 in$4.40 out203k100% up
- GMI Cloudfp8$1.40 in$4.40 out203k100% up
- Nebiusfp8$1.40 in$4.40 out203k100% up
- Z.aifp8$1.40 in$4.40 out203k100% up
- Venicefp8Degraded on OpenRouter when checked, 12 Oct 2026$1.40 in$4.40 out200k100% up
GPT-5.2 Chat1 host
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Common questions
What is the difference between GLM 5.1 and GPT-5.2 Chat?
GLM 5.1 is developed by Z.ai while GPT-5.2 Chat is developed by OpenAI. GLM 5.1 has a 203K token context window vs GPT-5.2 Chat's 128K. You can compare their actual outputs across 51 challenges on Rival to see how they differ in practice.
Which is better, GLM 5.1 or GPT-5.2 Chat?
It depends on your use case. GLM 5.1 and GPT-5.2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 51 challenges so you can judge which fits your needs best.
How much does GLM 5.1 cost compared to GPT-5.2 Chat?
GLM 5.1 costs $1.4/M input tokens and GPT-5.2 Chat costs $1.75/M input tokens. GLM 5.1 is $0.35/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 5.1 and GPT-5.2 Chat on Rival?
This page shows a side-by-side comparison of GLM 5.1 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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