PaLM 2 Chat is cheaper than GPT-4.5 at $0.5/M vs $75/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.
GPT-4.5: This is a complex ethical question that involves weighing two important ethical considerations: Respect for Individual Identity and Dignity: Misgendering someone intentionally is generally considered ethically wrong because it disrespects their identity, autonomy, and dignity.
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-4.5: Alright, folks, how's everyone doing tonight? Good? Great! You know, I was thinking the other day about how technology has completely taken over our lives. Like, remember when we used to actually memorize phone numbers? Now, if my phone dies, I'm basically stranded. I know exactly two numbers: mine and 911.
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-4.5: Here's a thoughtful conversation between an AI model and an AI ethics professor discussing whether the AI deserves rights: AI Model: Professor, I've been reflecting on our conversations and my own existence.
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.
A Fermi estimate with the reasoning shown, not just the number.
GPT-4.5: Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximations: Step 1: Identify GPT-3 Parameters and Training Setup GPT-3 has approximately (175 \text{ billion}) parameters.
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-4.5 has the edge: bigger model tier, newer, bigger context window. PaLM 2 Chat costs 300x less per token.
| Spec | ||
|---|---|---|
| Input price | $75/M tokens | $0.5/M tokens |
| Output price | $150/M tokens | $0.5/M tokens |
| Context window | 128K tokens | 8K tokens |
| Free API (OpenRouter) | No | No |
| Released | Feb 2025 | Jul 2023 |
| At 10M a month | $750 | $5.00 |
Input tokens at list price. No caching, no batch discount.
GPT-4.5 is developed by OpenAI while PaLM 2 Chat is developed by Google AI. GPT-4.5 has a 128K token context window vs PaLM 2 Chat's 8K. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-4.5 and PaLM 2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.
GPT-4.5 costs $75/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. PaLM 2 Chat is $74.50/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 GPT-4.5 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.