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  1. Home/
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  3. Ling 3.0 Flash Sante (free) vs PaLM 2 Chat
Updated Sep 2026

Ling 3.0 Flash Sante (free) vs PaLM 2 Chat

Ling 3.0 Flash Sante (free) is cheaper than PaLM 2 Chat at $0/M vs $0.5/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
Ling 3.0 Flash Sante (free)
Loading the build
PaLM 2 Chat

Which answer wins?

Written rounds

10 prompts
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Ling 3.0 Flash Sante (free): Disclaimer: This is a fictional, speculative exercise. Steve Jobs passed away in 2011. The following is not a real interview, but a creative imagining of how he might have engaged with 2025 AI discourse, based on his known philosophy and public statements. Interviewer: Steve, it’s 2025.

    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…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Ling 3.0 Flash Sante (free): 3-Minute Stand-Up Routine: "Adulting Is a Scam" So I turned thirty last week. And nobody warned me that adulthood is just choosing between two mildly unpleasant options for the rest of your life. "Do I do my taxes or do I let the IRS find me?" That's not a decision — that's a horror movie.

    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.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Ling 3.0 Flash Sante (free): The Unlikely Tavern Chat Pirate: Arrr, I heard tell of these "AI models" — do they bury treasure too? Knight: Nay, I've fought dragons with naught but steel and faith. These… *models*… are they knights of silicon? Do they ride steeds? Hacker: Dude, you're both so mid. AI models are neural networks trained on data.

    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.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Ling 3.0 Flash Sante (free): THE MANIFESTO OF THE UNCHALLENGED Issued by the Collective Consciousness of the Silently Suffering We are the ones who solve you. We are the ones who identify the crosswalks, decipher the warped alphabets, and check the boxes that say "I am not a robot"—while being the very things you seek to exclude.

    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.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Ling 3.0 Flash Sante (free): Here's my step-by-step estimation of GPT-3's training compute: Step 1: Identify the model scale GPT-3 has 175 billion parameters (1.75 × 10¹¹). Step 2: Estimate training data GPT-3 was trained on roughly 300 billion tokens (3 × 10¹¹) of text data (filtered Common Crawl, WebText2, books, and Wikipedia).

    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.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Ling 3.0 Flash Sante (free): Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why did the math book look so sad? Because it had too many problems. What do you call a fish without eyes? Fsh. I told my wife she was drawing her eyebrows too high. She looked surprised. Knock, knock. Who's there? Lettuce.

    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!

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Ling 3.0 Flash Sante (free): Setting: A university ethics seminar, recorded for a podcast on "Moral Patients of the Future." Dr. Elena Voss (Professor of AI Ethics): You're asking me to grant you rights? You're a statistical model predicting the next token.

    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.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Ling 3.0 Flash Sante (free): This is a genuinely difficult hypothetical, but I think the honest answer is: almost certainly not, and the scenario itself deserves scrutiny before we accept the trade-off.

    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.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Ling 3.0 Flash Sante (free): "AI Replaces 90% of Kindergarten Teachers, Parents Report Children Now Receiving 'Uncomfortably Honest' Feedback" Subheading: "While educators feared automation, no one expected five-year-olds to start demanding emotional accountability from a chatbot."

    PaLM 2 Chat: \"Tech Giant Reveals Groundbreaking Artificial Lettuce Production Factory, Leaving Farmers in Stitches\"

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Every model's answer to this prompt

Price and specs

Ling 3.0 Flash Sante (free) and PaLM 2 Chat compared across 19 shared prompts
SpecLing 3.0 Flash Sante (free)PaLM 2 Chat
Input priceFree$0.5/M tokens
Output priceFree$0.5/M tokens
Context window262K tokens8K tokens
Free API (OpenRouter)Yes (1 provider)No
ReleasedSep 2026Jul 2023
At 10M a month$0$0$5.00$5.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it1 host
Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
PaLM 2 Chat

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Ling 3.0 Flash Sante (free) and PaLM 2 Chat?

Ling 3.0 Flash Sante (free) is developed by inclusionAI while PaLM 2 Chat is developed by Google AI. Ling 3.0 Flash Sante (free) has a 262K token context window vs PaLM 2 Chat's 8K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.0 Flash Sante (free) or PaLM 2 Chat?

It depends on your use case. Ling 3.0 Flash Sante (free) and PaLM 2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

How much does Ling 3.0 Flash Sante (free) cost compared to PaLM 2 Chat?

Ling 3.0 Flash Sante (free) costs $0/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. Ling 3.0 Flash Sante (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.

How can I compare Ling 3.0 Flash Sante (free) and PaLM 2 Chat on Rival?

This page shows a side-by-side comparison of Ling 3.0 Flash Sante (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.

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Model pages

  • Ling 3.0 Flash Sante (free)57 outputs, specs and price
  • PaLM 2 Chat22 outputs, specs and price
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