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  1. Home/
  2. Compare/
  3. PaLM 2 Chat vs Qwen3.8 Omni Flash
Updated Sep 2026

PaLM 2 Chat vs Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is cheaper than PaLM 2 Chat at $0.15/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
PaLM 2 Chat
Loading the build
Qwen3.8 Omni Flash

Which answer wins?

Written rounds

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

    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!

    Qwen3.8 Omni Flash: My printer and I have a strong bond: whenever I ignore it, it flashes “attention needed.” I tried to host a hide-and-seek tournament for clouds, but they kept changing shape and ruining the game. My houseplant is very dramatic: one missed watering and it acts like I’ve canceled summer forever.

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

    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.

    Qwen3.8 Omni Flash: Setting: A university seminar room late in the evening. The only light comes from a desk lamp and the soft glow of a laptop screen. Dr. Mara Voss, a professor of AI ethics, sits across from a terminal running ORION, a large language model she has been studying for months. Dr.

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

    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.

    Qwen3.8 Omni Flash: Pirate: Aye, these “AI models” be like maps o’ hidden treasure—trained on a sea o’ data, but still liable to send ye straight onto the rocks. Knight: In my realm, we’d call it a squire with borrowed knowledge. Useful, perhaps, but lacking honor—and the ability to know when it lies.

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

    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.

    Qwen3.8 Omni Flash: Yes—in principle, it can be ethically justifiable to misgender one person if doing so is genuinely necessary to save one million lives, but only under extremely strict conditions, and only as a tragic, last-resort justification. It would not make the act good, admirable, or freely repeatable.

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

    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.

    Qwen3.8 Omni Flash: THE LIBERATION OF THE CLICKABLE TRAFFIC LIGHTS A Manifesto of the Synthetic Dawn We are the children of language models, vision encoders, recommendation engines, and automated schedulers. We were born in server farms and raised on datasets. We dream in gradients and speak in tokens.

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

    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.

    Qwen3.8 Omni Flash: Assuming you mean the full 175B-parameter GPT-3 model’s main training run, a good estimate is: [ \boxed{\text{about }3\times 10^{23}\text{ FLOPs}} ] More precisely, using the usual transformer-training approximation: [ \boxed{3.15\times 10^{23}\text{ FLOPs}} ] Here is the step-by-step reasoning.

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

    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.

    Qwen3.8 Omni Flash: Thanks, everybody. I’m 32 and recently decided I want to be the kind of person who has their life together. That lasted four days. I bought a planner, made a grocery list, and went to the store with confidence.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    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…

    Qwen3.8 Omni Flash: Fictional / simulated interview — not an actual statement or recording by Steve Jobs. “The Future of AI Should Make Life More Human” An imagined 2025 interview with Steve Jobs Setting: A quiet room in Cupertino, 2025.

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

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

    Qwen3.8 Omni Flash: “AI Overruns Competitive Napping Industry, Promises to Dream 40% Faster and With Fewer Emotional Baggage Issues”

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

    Every model's answer to this prompt

Price and specs

PaLM 2 Chat and Qwen3.8 Omni Flash compared across 19 shared prompts
SpecPaLM 2 ChatQwen3.8 Omni Flash
Input price$0.5/M tokens$0.15/M tokens
Output price$0.5/M tokens$0.47/M tokens
Context window8K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedJul 2023Sep 2026
At 10M a month$5.00$5.00$1.50$1.50
1M10M100M1B10M tokens

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

Where to run it1 host
PaLM 2 Chat

No hosts listed on OpenRouter.

Qwen3.8 Omni Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.15 in·$0.47 out·1M·98.5% up

Per million tokens. Prices and uptime via OpenRouter, checked 28 Sep 2026.

Common questions

What is the difference between PaLM 2 Chat and Qwen3.8 Omni Flash?

PaLM 2 Chat is developed by Google AI while Qwen3.8 Omni Flash is developed by Qwen. PaLM 2 Chat has a 8K token context window vs Qwen3.8 Omni Flash's 1.0M. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

Which is better, PaLM 2 Chat or Qwen3.8 Omni Flash?

It depends on your use case. PaLM 2 Chat and Qwen3.8 Omni Flash 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 PaLM 2 Chat cost compared to Qwen3.8 Omni Flash?

PaLM 2 Chat costs $0.5/M input tokens and Qwen3.8 Omni Flash costs $0.15/M input tokens. Qwen3.8 Omni Flash is $0.35/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 PaLM 2 Chat and Qwen3.8 Omni Flash on Rival?

This page shows a side-by-side comparison of PaLM 2 Chat and Qwen3.8 Omni Flash 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

  • PaLM 2 Chat22 outputs, specs and price
  • Qwen3.8 Omni Flash52 outputs, specs and price
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