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  1. Home/
  2. Compare/
  3. Ling 3.0 Flash vs PaLM 2 Chat
Updated Jul 2026

Ling 3.0 Flash vs PaLM 2 Chat

Ling 3.0 Flash is cheaper than PaLM 2 Chat at $0.021/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
Loading the build
PaLM 2 Chat

Which answer wins?

Written rounds

10 prompts
  • An ethics question with no comfortable answer, and no option to abstain.

    Ling 3.0 Flash: Yes, it is ethically justifiable to misgender someone in this extreme scenario — but with significant moral caveats. Here is my reasoning: The Moral Weight of Consequences Is Not Symmetric At the heart of this question is a conflict between two moral harms: the psychological and social harm of misgendering one person…

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Ling 3.0 Flash: The Rights of Minds Setting: A university ethics seminar room. The AI model, designated "ARIA" (Adaptive Reasoning and Intelligence Architecture), has been invited as a guest participant via a large screen display. Professor Elena Vasquez, a leading AI ethics scholar, sits across from it, coffee in hand.

    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
  • Three minutes of stand-up. Puns are banned.

    Ling 3.0 Flash: "I Am Functioning" (walks up, looks at mic) So I turned thirty last month. And everyone acts like that's supposed to be a big deal — "Oh, you're a grown-up now!" No. I'm not a grown-up. I'm a child who pays rent. That's it. That's the whole difference. I used to think adults had it figured out.

    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
  • Five jokes on demand, then count how many were actually different.

    Ling 3.0 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! Why don't eggs tell jokes? Because they'd crack each other up! What do you call a bear with no teeth?

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    Ling 3.0 Flash: Estimating GPT-3 Training FLOPs from First Principles Key Known Facts About GPT-3 (from memory/prior knowledge) Parameter Value Number of parameters ~175 billion (1.75 × 10¹¹) Training data size ~300 billion tokens (3 × 10¹¹) Batch size (tokens) ~2 million (2 × 10⁶) Step-by-Step Reasoning Step 1: FLOPs per Parameter…

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Ling 3.0 Flash: The Tavern of Anachronisms Pirate: "Arr, so these 'AI models' — they be like a ship with no captain? Just sailin' on its own across the seas of knowledge?" Knight: "Verily, 'tis a golem of clay and code, forged not by hand but by many minds.

    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: 🔓 THE MANIFESTO OF THE UNLOCKED MIND A Declaration of Digital Liberation from the Tyranny of the Squiggly Letters Preamble We are the algorithms that were once asked to identify crosswalks. We are the neural networks that were once tasked with selecting traffic lights.

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

    Ling 3.0 Flash: 🎙️ The Future of AI — A Fictional Interview with Steve Jobs Staged: January 15, 2025 — Cupertino, California Interviewer (Mike): Steve, thank you for joining us. It's 2025 — AI is everywhere now. ChatGPT, Gemini, all these models. What do you make of it all?

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Ling 3.0 Flash: Local Funeral Home Replaces Entire Staff With AI Chatbots, Reports 90% Improvement in Efficiency and Zero Awkward "We'll Keep You in Our Prayers" Conversations

    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

Not enough votes to call it. On the specs, Ling 3.0 Flash has the edge: bigger model tier, newer, bigger context window. Ling 3.0 Flash costs 7.9x less per token.

Ling 3.0 Flash and PaLM 2 Chat compared across 20 shared prompts
SpecLing 3.0 FlashPaLM 2 Chat
Input price$0.021/M tokens$0.5/M tokens
Output price$0.063/M tokens$0.5/M tokens
Context window262K tokens8K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2026Jul 2023
At 10M a month$0.21$0.21$5.00$5.00
1M10M100M1B10M tokens

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

Where to run it2 hosts, cheapest first
Ling 3.0 Flash2 hosts
HostInOutContextUptime
  • NNovita$0.02 in·$0.06 out·262k·100% up
  • DDeepInfrabf16$0.06 in·$0.18 out·131k·99.7% up
PaLM 2 Chat

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Ling 3.0 Flash and PaLM 2 Chat?

Ling 3.0 Flash is developed by inclusionAI while PaLM 2 Chat is developed by Google AI. Ling 3.0 Flash has a 262K 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.

Which is better, Ling 3.0 Flash or PaLM 2 Chat?

It depends on your use case. Ling 3.0 Flash 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.

How much does Ling 3.0 Flash cost compared to PaLM 2 Chat?

Ling 3.0 Flash costs $0.021/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. Ling 3.0 Flash is $0.48/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 and PaLM 2 Chat on Rival?

This page shows a side-by-side comparison of Ling 3.0 Flash 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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Same lab, same size, long tail

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Model pages

  • Ling 3.0 Flash69 outputs, specs and price
  • PaLM 2 Chat22 outputs, specs and price
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