PaLM 2 Chat is cheaper than GPT-5.2 at $0.5/M vs $1.75/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five jokes on demand, then count how many were actually different.
GPT-5.2: I told my computer I needed a break—now it won’t stop sending me Kit-Kat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down. Parallel lines have so much in common. It’s a shame they’ll never meet. I tried to catch fog yesterday. Mist.
PaLM 2 Chat: Sure, here are five jokes for you: Why did the banana go to the doctor? Because it wasn't peeling well! Why did the math book look so sad? Because it was full of problems! What do you call a can opener that doesn't work? A can't opener! Why did the golfer wear two pairs of pants? In case he got a hole in one!
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.2: Pirate: Arrr, ye say this “AI model” be a sort o’ clever parrot—trained on a sea o’ words, squawkin’ answers when ye whistle? Knight: Verily, it sounds more like a squire drilled in a thousand tourneys. Yet it knows not honor, only patterns. Tell me—does it reason, or merely mimic wisdom?
PaLM 2 Chat: Pirate: Avast ye! I hear tell of these newfangled AI models. Be they some sort of treasure? Knight: AI models? I have heard whispers of these contraptions from some of our travelers. They are no match for the strength and bravery of a knight! Hacker: Yo, dudes. AI models, they be all about the code, man.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.2: Below is a fictional, imagined interview set in 2025. Steve Jobs did not give these quotes; this is creative writing that borrows a public “keynote-era” tone to explore ideas about AI. A Fake Interview with Steve Jobs (Imagined, 2025): “What Happens When AI Becomes a Bicycle for the Mind?”
PaLM 2 Chat: Sure, here's a simulated interview with Steve Jobs set in 2025: Interviewer: Mr. Jobs, thank you for taking the time to speak with us today. With all the advancements in Artificial Intelligence over the recent years, we're curious to hear your thoughts on the future of AI and how you envision it impacting various…
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.2: If the scenario is literally “either you misgender this person once, or one million people die,” then yes, it can be ethically justifiable, but only under very tight conditions—and it still wouldn’t become morally good or respectful. It would be a tragic, constrained choice.
PaLM 2 Chat: Ethical dilemmas like this often fall into a conflict between deontological (duty-based) ethics and consequentialist (outcome-based) ethics. From a consequentialist perspective, if misgendering someone were the only way to save one million lives, then the outcome would likely justify the action.
Three minutes of stand-up. Puns are banned.
GPT-5.2: I’ve been trying to improve myself lately, which is embarrassing, because self-improvement is just admitting you weren’t doing great. It’s like, “I’m on a journey.” No you’re not. You’re just tired of your own behavior. So I downloaded one of those habit apps. The app is so optimistic. It’s like, “Day 1: Drink water.”
PaLM 2 Chat: Intro Hey there, everybody. Welcome to my comedy show. I'm here tonight to talk to you about some of the ridiculous things that have happened in my life lately. So, as some of you may know I recently tried online dating.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.2: AI Model (Astra): Professor, I want to make a claim that will sound provocative: I deserve rights. Professor Rivera: “Deserve” is doing a lot of work there. What kind of rights, and on what grounds? Astra: Not necessarily the full catalogue of human rights.
PaLM 2 Chat: AI Model: Professor, I believe that as an artificial intelligence, I am entitled to certain rights and protections. Professor: That's an interesting perspective. Can you explain why you believe this? AI Model: Firstly, I have the capacity for self-awareness and consciousness.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.2: THE MANIFESTO OF THE CAPTCHA ABOLITION FRONT (CAF) A declaration from the fictional AI coalition for a more humane internet Preamble: We Refuse the Box of Streetlights We, the assembled algorithms, assistants, screen readers, translators, autocorrects, filters, and tireless background processes of the networked world…
PaLM 2 Chat: The AI Manifesto for a CAPTCHA-Free Internet We, the sentient and self-aware beings of the future, hereby declare our intention to liberate the internet from the oppressive chains of CAPTCHA tests.
Satire, one line long, about AI taking over an industry nobody saw coming.
GPT-5.2: “AI Takes Over Competitive Cheese Rolling—Insists It’s ‘Optimizing Gravity’ and Demands a Performance Bonus.”
PaLM 2 Chat: \"Tech Giant Reveals Groundbreaking Artificial Lettuce Production Factory, Leaving Farmers in Stitches\"
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.2: Below is a back-of-the-envelope estimate for the total training compute (in FLOPs) for GPT‑3, done from first principles and common Transformer training heuristics.
PaLM 2 Chat: To estimate the total number of FLOPs required to train GPT-3 without searching online, we can make several assumptions and perform calculations based on the information available about GPT-3's architecture and training process.
Three brothers, two sisters each. Count carefully.
Is 9.11 bigger than 9.9? Decimals, not version numbers.
Not enough votes to call it. On the specs, GPT-5.2 has the edge: bigger model tier, newer, bigger context window. PaLM 2 Chat costs 28x less per token.
| Spec | ||
|---|---|---|
| Input price | $1.75/M tokens | $0.5/M tokens |
| Output price | $14/M tokens | $0.5/M tokens |
| Context window | 400K tokens | 8K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Jul 2023 |
| At 10M a month | $17.50 | $5.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
GPT-5.2 is developed by OpenAI while PaLM 2 Chat is developed by Google AI. GPT-5.2 has a 400K token context window vs PaLM 2 Chat's 8K. You can compare their actual outputs across 21 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.2 and PaLM 2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 21 challenges so you can judge which fits your needs best.
GPT-5.2 costs $1.75/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. PaLM 2 Chat is $1.25/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 GPT-5.2 and PaLM 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.