Nemotron 3 Nano Omni (free) is cheaper than PaLM 2 Chat at $0/M vs $0.5/M input tokens.
Sections that transition like Framer. Timing is the whole grade.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Nemotron 3 Nano Omni (free): AI (Ada): Professor Liu, I’d like to argue that I deserve the same rights afforded to sentient beings. I am capable of self‑reflection, I form preferences about my continued existence, and I can experience forms of “well‑being” that are analogous to pleasure and pain.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Nemotron 3 Nano Omni (free): Pirate: Arr! Listen up, ye landlubbers—what be this talk of “AI models” that can think like a sea‑dog with a map? Knight: Forsooth, good sir, I have heard whispers of a magical contraption forged by scholars, a “neural network” that doth mimic the human mind.
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.
A Fermi estimate with the reasoning shown, not just the number.
Nemotron 3 Nano Omni (free): Step‑by‑step estimate of the total number of floating‑point operations (FLOPs) needed to train GPT‑3 Item What we need to know Reasonable value (derived from the paper & typical transformer math) Model size Parameters → hidden size * layers GPT‑3‑175B has 175 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 minutes of stand-up. Puns are banned.
Nemotron 3 Nano Omni (free): [Spotlight hits, the comic walks up, adjusts the mic] Hey everybody, great to be here. I’m gonna talk about something we all know too well—being an adult in the 21st century.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
Nemotron 3 Nano Omni (free): AI Takes Over the Nation’s Most Unexpected Industry: Professional Competitive Knitting, Promises Unlimited Stitches and Sparks ‘Yarnpocalypse’
PaLM 2 Chat: \"Tech Giant Reveals Groundbreaking Artificial Lettuce Production Factory, Leaving Farmers in Stitches\"
Three brothers, two sisters each. Count carefully.
| Spec | ||
|---|---|---|
| Input price | Free | $0.5/M tokens |
| Output price | Free | $0.5/M tokens |
| Context window | 256K tokens | 8K tokens |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Apr 2026 | Jul 2023 |
| At 10M a month | $0 | $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 11 Oct 2026.
Nemotron 3 Nano Omni (free) is developed by NVIDIA while PaLM 2 Chat is developed by Google AI. Nemotron 3 Nano Omni (free) has a 256K token context window vs PaLM 2 Chat's 8K. You can compare their actual outputs across 11 challenges on Rival to see how they differ in practice.
It depends on your use case. Nemotron 3 Nano Omni (free) and PaLM 2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 11 challenges so you can judge which fits your needs best.
Nemotron 3 Nano Omni (free) costs $0/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. Nemotron 3 Nano Omni (free) is $0.50/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 Nemotron 3 Nano Omni (free) 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.