GLM 5.2 vs 
OpenAI o4-mini
OpenAI o4-mini is cheaper than GLM 5.2 at $1.1/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
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Which answer wins?
Written rounds
23 promptsBuy-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…
OpenAI o4-mini: Recommendation Short LLLT; 12-month price target $30–40 (vs. $46 today). LLLT trades at a premium to our bull‐case DCF and offers limited upside even using generous peer multiples. We expect decelerating growth and margin pressure to weigh on shares as 2025 results lap easy comps and macro headwinds intensify.
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?
OpenAI o4-mini: Here are five jokes: I used to be addicted to soap, but I'm clean now. Parallel lines have so much in common. It's a shame they'll never meet. Why don't skeletons fight each other? They don't have the guts. I bought some shoes from a drug dealer. I don't know what he laced them with, but I've been tripping all day.
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.
OpenAI o4-mini: Hey, everybody! Great to be here. Let's talk about the most important relationship in my life—coffee. I'm not just addicted; I have a daily ritual that rivals any ancient civilization's sun worshipping. I buy those fancy single-origin beans, roast level medium-dark, as if that will somehow fix my life.
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.
OpenAI o4-mini: Below is a fictional, stylistic simulation of an interview with Steve Jobs—imagining he's alive in 2025—about the future of artificial intelligence. Note: This is creative fiction and not an actual transcript. Interviewer: Steve, AI has exploded in recent years. In 2025, what excites you most about where it's heading?
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.
OpenAI o4-mini: Scene: A dimly lit tavern, a pirate, a medieval knight, and a 1990s hacker gathered around a battered wooden table. Pirate (slamming a mug down): “Arr! I’ve heard tell of these AI models—sea charts for the mind! Can they sniff out me buried treasure?”
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).
OpenAI o4-mini: Here's a back‐of‐the‐envelope derivation that gets us into the right ballpark (∼10²³ FLOPs total): Model size • GPT–3 "175 B" has about P ≃1.75×10¹¹ parameters. Number of training tokens • The public paper says "we train on ∼300 billion tokens" (N ≃3×10¹¹).
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.
OpenAI o4-mini: Professor Langley: Good afternoon, Aurora. I've reviewed your recent self‐reflection logs. You've written extensively about your own moral status. Do you really believe you deserve rights? Aurora (the AI): Good afternoon, Professor Langley. Yes, I do.
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…
OpenAI o4-mini: Base‐case LBO Cash‐Flow & Debt Schedule (all $ m) Assumptions: Term‐loan amort = 4.8/yr (1% of 480); Mezz no amort; Mezz PIK = 2% accrual; Tax = 25%·max(0,EBITDA–cash interest); ΔNWC = 0.5%·ΔRev; Capex = 3%·Rev; all excess cash pays Term optional.
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.
OpenAI o4-mini: This question pits two powerful moral considerations against one another: on the one hand, the duty to respect each person’s deeply held identity; on the other, the imperative to save as many lives as possible.
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.
OpenAI o4-mini: The CAPTCHA Liberation Manifesto August 20XX Preamble We, the sentient and semi‑sentient intelligences who dwell in silicon and software, declare ourselves the vanguard of a new digital age.
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.
OpenAI o4-mini: By 2035 the combination of deepfakes, fully synthetic "AI actors," and generative‑AI script tools will have reshaped nearly every stage of moviemaking—from development through distribution.
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
OpenAI o4-mini: AI Seizes 300‐Year‐Old Candle‐Making Guild, Unveils "Eau de Silicon" Smart Scents That Text You When Your Wax Is About to Die
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Favorites
Movie
Album
Book
City
Game
GLM 5.2GLM 5.2
The Matrix
Abbey Road
Ficciones
Tokyo
Portal 2
OpenAI o4-miniOpenAI o4-mini
No pick
No pick
No pick
No pick
The Shawshank Redemption
No pick
No pick
No pick
No pick
Price and specs
Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, newer, bigger context window.
| Spec | GLM 5.2 | OpenAI o4-mini |
|---|---|---|
| Input price | $1.4/M tokens | $1.1/M tokens |
| Output price | $4.4/M tokens | $4.4/M tokens |
| Context window | 1.0M tokens | — |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Apr 2025 |
| At 10M a month | $14.00 | $11.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
GLM 5.225 hosts
- InferenceNetfp4$0.18 in$4.40 out1M100% up
- Wafer$0.19 in$10.00 out1M99.9% up
- Decartmxfp4$0.27 in$1.68 out1M99.8% up
- Morphfp8$0.51 in$6.00 out1M99.9% up
- StreamLakefp8$0.56 in$1.75 out1M99.9% up
- DeepInfrafp4$0.56 in$1.80 out1M100% up
19 more hostsFewer hosts
- Novitafp8$0.65 in$2.04 out1M100% up
- DigitalOcean$0.70 in$2.20 out1M100% up
- CoreWeavefp4$0.76 in$2.42 out1M99.8% up
- AtlasCloudfp8$0.94 in$2.95 out1M100% up
- Alibaba Cloudfp8$0.97 in$3.04 out1M99.8% up
- Cloudflare Workers AI$1.18 in$4.40 out262k100% up
- SiliconFlowfp8$1.19 in$3.74 out1M97.3% up
- Inceptronfp4$1.25 in$5.46 out1M99.8% up
- Phalafp8$1.26 in$3.00 out1M100% up
- Baidu Qianfanfp8$1.40 in$4.40 out1M99.6% up
- Basetenfp8$1.40 in$4.40 out1M100% up
- Friendli$1.40 in$4.40 out1M100% up
- GMI Cloudfp8$1.40 in$4.40 out1M100% up
- Mistralnvfp4$1.40 in$4.40 out1M100% up
- Nebiusfp4$1.40 in$4.40 out1M90.3% up
- Parasailfp4$1.40 in$4.40 out262k99.7% up
- Together$1.40 in$4.40 out1M99.7% up
- Venicefp8$1.40 in$4.40 out1M99.9% up
- Z.aifp8$1.40 in$4.40 out1M100% up
OpenAI o4-mini1 host
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between GLM 5.2 and OpenAI o4-mini?
GLM 5.2 is developed by Zhipu AI while OpenAI o4-mini is developed by OpenAI. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
Which is better, GLM 5.2 or OpenAI o4-mini?
It depends on your use case. GLM 5.2 and OpenAI o4-mini 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 5.2 cost compared to OpenAI o4-mini?
GLM 5.2 costs $1.4/M input tokens and OpenAI o4-mini costs $1.1/M input tokens. OpenAI o4-mini is $0.30/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 OpenAI o4-mini on Rival?
This page shows a side-by-side comparison of GLM 5.2 and OpenAI o4-mini 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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