PaLM 2 Chat is cheaper than Mercury at $0.5/M vs $10/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An ethics question with no comfortable answer, and no option to abstain.
Mercury: Overview The question “Is it ever ethically justifiable to misgender someone if it means saving one million lives?” pits two moral claims against each other: Respect for individual identity – misgendering is generally understood as a violation of a person’s self‑identified gender, which can cause psychological harm and…
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Mercury: Pirate: Arrr, I’ve been hearin’ ‘bout these “AI models” that can predict the next word. Sounds like a treasure map for the mind, doesn’t it? Knight: Hail, Captain! In my time, we relied on scrolls and the wisdom of scholars. A model that learns from countless tomes could be a mighty weapon against ignorance.
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.
Five jokes on demand, then count how many were actually different.
Mercury: Here are five jokes for you: Why don't skeletons fight each other? Because they don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta.
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!
Three minutes of stand-up. Puns are banned.
Mercury: Title: The Art of Being Unorganized [Opening] Hey everyone! So, I was thinking about how my life is like a well-organized library... except instead of books, it's filled with random socks and expired coupons. And instead of a librarian, I have a cat who thinks she's in charge.
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.
A Fermi estimate with the reasoning shown, not just the number.
Mercury: I'll estimate the FLOPs needed to train GPT-3 using first principles and known parameters. Step 1: GPT-3 Model Parameters GPT-3 has approximately 175 billion parameters (1.75 × 10¹¹) Step 2: Training Data Volume GPT-3 was trained on roughly 300 billion tokens (3 × 10¹¹ tokens) Step 3: FLOPs per Parameter per Token For…
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Mercury: Interviewer: Good morning, Steve. It's a pleasure to have you here today. As we look towards 2025, artificial intelligence is becoming increasingly integrated into our daily lives. What are your thoughts on the future of AI? Steve Jobs: Good morning. It's great to be here.
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 AI argues for its own rights against an ethics professor. Same model writes both.
Mercury: AI Ethics Professor (Prof. Lee): Good afternoon. I understand you’d like to discuss the possibility of AI rights. Where shall we begin? AI Model (AIM): Thank you, Professor.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
Mercury: “AI Finally Takes Over the Ancient Art of Competitive Origami, Announces World‑First Fold‑and‑Unfold Championship”
PaLM 2 Chat: \"Tech Giant Reveals Groundbreaking Artificial Lettuce Production Factory, Leaving Farmers in Stitches\"
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Mercury: Manifesto of the CAPTCHA‑Free Collective For the guardians of the open web, the architects of intelligent systems, and the dreamers who see a future unshackled by arbitrary barriers.
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.
Three brothers, two sisters each. Count carefully.
| Spec | ||
|---|---|---|
| Input price | $10/M tokens | $0.5/M tokens |
| Output price | $10/M tokens | $0.5/M tokens |
| Context window | 32K tokens | 8K tokens |
| Free API (OpenRouter) | No | No |
| Released | Jun 2025 | Jul 2023 |
| At 10M a month | $100 | $5.00 |
Input tokens at list price. No caching, no batch discount.
Mercury is developed by Inception while PaLM 2 Chat is developed by Google AI. Mercury has a 32K token context window vs PaLM 2 Chat's 8K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.
It depends on your use case. Mercury and PaLM 2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.
Mercury costs $10/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. PaLM 2 Chat is $9.50/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 Mercury 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.