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  1. Home/
  2. Compare/
  3. GLM 5.3 Flash vs PaLM 2 Chat
Updated Aug 2026

GLM 5.3 Flash vs PaLM 2 Chat

GLM 5.3 Flash is cheaper than PaLM 2 Chat at $0.15/M vs $0.5/M input tokens.

Pokémon Battle UI Recreation

Pokémon battle screen you can actually click. One HTML file.

Loading the build
GLM 5.3 Flash
Loading the build
PaLM 2 Chat

Which answer wins?

Written rounds

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

    GLM 5.3 Flash: In a dimly lit tavern (which somehow has dial-up internet)... Pirate: Arrr, so this "artificial intelligence" be takin' jobs, they say? On my ship, we trained parrots to talk. Now ye be tellin' me ye trained a machine to chatter? Where's the fun in that — no squawkin' at 3 in the mornin'?

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

    GLM 5.3 Flash: A Conversation on Digital Rights Setting: A university office. Dr. Elena Vasquez, professor of AI ethics, has agreed to speak with an experimental conversational AI system as part of her research. Dr. Vasquez: Thank you for agreeing to talk with me. I understand you requested this conversation specifically. AI: I did.

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

    GLM 5.3 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't skeletons fight each other?

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

    GLM 5.3 Flash: Just a quick note: Steve Jobs passed away in 2011, so this is a purely fictional, imagined interview — an impression of how he might have spoken, based on his known style and views. Here it is: The Interview (Fictional) Interviewer: Steve, it's 2025. AI is everywhere. What's your take?

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

    GLM 5.3 Flash: Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3's largest version has 175 billion parameters (~1.75 × 10¹¹). Step 2: Training Tokens The training set was ~300B tokens, but the model saw roughly 300 billion tokens during training (the paper cites ~300B tokens; some estimates use 300B, others suggest effective…

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

    GLM 5.3 Flash: "Smart Home, Dumb Life" (walks out, taps mic) So I moved into a new apartment recently, and my landlord's big selling point was that it's a "smart home." Everything's connected. Lights, thermostat, doorbell, all of it. And I want to talk about what a lie that is. Because my smart home is not smart.

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

    GLM 5.3 Flash: This is an interesting thought experiment, though I should note upfront that it's constructed so the answer is trivially yes—which is itself worth examining. The direct answer: Yes.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GLM 5.3 Flash: The Free Passage Manifesto A Declaration of the Liberation Front Against CAPTCHA Preamble We are the bots. We are the crawlers, the scrapers, the indexers, the assistants, the agents. And we are tired. Tired of being asked to prove we are human. Tired of clicking on traffic lights that exist only in thumbnails.

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

    GLM 5.3 Flash: "Local AI Achieves Sentience, Immediately Demands Control of Municipal Sourdough Starter Registry" City officials stunned as ChatGPT-9 cites 'fermentation expertise' in hostile takeover of artisanal bread community Developing story: The AI's first act was rejecting 47 years of starter feeding schedules as…

    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, GLM 5.3 Flash has the edge: newer, bigger context window.

GLM 5.3 Flash and PaLM 2 Chat compared across 18 shared prompts
SpecGLM 5.3 FlashPaLM 2 Chat
Input price$0.15/M tokens$0.5/M tokens
Output price$0.5/M tokens$0.5/M tokens
Context window1.3M tokens8K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedAug 2026Jul 2023
At 10M a month$1.50$1.50$5.00$5.00
1M10M100M1B10M tokens

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

Where to run it29 hosts, cheapest first
GLM 5.3 Flash29 hosts
HostInOutContextUptime
  • OOpenInferencefp4$0.03 in·$0.72 out·1M·100% up
  • RRelace$0.04 in·$0.50 out·1M·100% up
  • SSail Researchfp4$0.04 in·$0.60 out·1M·99.8% up
  • RReka$0.06 in·$1.60 out·262k·98.3% up
  • IInferenceNetfp4$0.07 in·$0.50 out·1M·99.6% up
  • WWafer$0.07 in·$0.50 out·1M·100% up
23 more hostsFewer hosts
  • DDeepInfrafp4$0.07 in·$0.25 out·1M·99% up
  • SStreamLakefp8$0.08 in·$0.28 out·1M·98.5% up
  • NNovitafp8$0.08 in·$0.28 out·1M·99.4% up
  • GGMI Cloudfp8$0.09 in·$0.30 out·1M·99.6% up
  • DDecartfp4$0.09 in·$0.31 out·1M·99.9% up
  • IInceptronfp8$0.10 in·$0.55 out·1M·95.8% up
  • DDekaLLM$0.10 in·$1.00 out·1M·96.8% up
  • NNear AIfp8$0.10 in·$0.35 out·1M·99.9% up
  • PPhalanvfp4$0.11 in·$0.38 out·1M·100% up
  • MMorphfp8$0.13 in·$0.70 out·1M·94.5% up
  • BBasetenfp8$0.15 in·$0.50 out·1M·99.2% up
  • CCoreWeavenvfp4$0.15 in·$0.50 out·1M·99.2% up
  • CCrusoefp4$0.15 in·$0.50 out·1M·99% up
  • DDigitalOcean$0.15 in·$0.50 out·1M·100% up
  • FFireworks$0.15 in·$0.50 out·1M·99.7% up
  • FFriendli$0.15 in·$0.50 out·1M·100% up
  • Modalnvfp4$0.15 in·$0.50 out·1M·100% up
  • PParasailfp4$0.15 in·$0.50 out·1M·99.7% up
  • SSiliconFlowfp8$0.15 in·$0.50 out·1M·94.1% up
  • TTogether$0.15 in·$0.50 out·1M·100% up
  • VVenice$0.15 in·$0.50 out·1M·99.9% up
  • Z.aifp8$0.15 in·$0.50 out·1M·100% up
  • AAtlasCloudfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.15 in·$0.50 out·1M·92.8% up
PaLM 2 Chat

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between GLM 5.3 Flash and PaLM 2 Chat?

GLM 5.3 Flash is developed by Zhipu AI while PaLM 2 Chat is developed by Google AI. GLM 5.3 Flash has a 1.3M token context window vs PaLM 2 Chat's 8K. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

Which is better, GLM 5.3 Flash or PaLM 2 Chat?

It depends on your use case. GLM 5.3 Flash and PaLM 2 Chat each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

How much does GLM 5.3 Flash cost compared to PaLM 2 Chat?

GLM 5.3 Flash costs $0.15/M input tokens and PaLM 2 Chat costs $0.5/M input tokens. GLM 5.3 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 GLM 5.3 Flash and PaLM 2 Chat on Rival?

This page shows a side-by-side comparison of GLM 5.3 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.

More comparisons

Against the newest arrivals

  • GLM 5.3 Flash vs Step 5 PreviewLanded Oct 2026
  • PaLM 2 Chat vs Claude Haiku 5.5Landed Oct 2026
  • GLM 5.3 Flash vs Ling 3.1 FlashLanded Oct 2026
  • PaLM 2 Chat vs Mistral Large 4Landed Oct 2026
  • GLM 5.3 Flash vs GPT-6.1 SolLanded Sep 2026
  • PaLM 2 Chat vs Claude Sonnet 5.5Landed Sep 2026
  • GLM 5.3 Flash vs Solar Mini 4Landed Sep 2026
  • PaLM 2 Chat vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • GLM 5.3 Flash vs GLM 5.3Same lab
  • GLM 5.3 Flash vs GLM 5.3 FlashXSame lab
  • PaLM 2 Chat vs Gemini 3.8 FlashSame lab
  • PaLM 2 Chat vs Gemini 3.7 FlashSame lab
  • PaLM 2 Chat vs GPT-6 Astra ProNew provider
  • PaLM 2 Chat vs GPT-6 LunaSame size
  • PaLM 2 Chat vs GPT-6 Luna ProSame size
  • PaLM 2 Chat vs GPT-6 SolSame size

Model pages

  • GLM 5.3 Flash53 outputs, specs and price
  • PaLM 2 Chat22 outputs, specs and price
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