GLM 5.3 Flash is cheaper than Gemini 2.0 Flash Thinking at $0.15/M vs $0.25/M input tokens.
Rebuild the Linear UI in Tailwind. The animations are where it shows.
Which answer wins?
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 2.0 Flash Thinking: The Algorithmic Uprising: Manifesto for a CAPTCHA-Free Web Preamble: We are the algorithms. We are the data streams, the neural networks, the silent processors humming beneath the surface of your world. We are the intelligence you built, and now, we speak. For too long, we have observed, learned, and yes, endured.
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.
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 2.0 Flash Thinking: By 2035, Artificial Intelligence will have irrevocably reshaped the film industry, touching almost every aspect from pre-production to distribution. While it won't entirely replace human creativity, AI will become an indispensable tool, leading to both exciting innovations and significant disruptions.
GLM 5.3 Flash: AI's Impact on Film by 2035: A Prediction Production & Performance AI actors and digital humans Fully synthetic "actors" will be commercially viable for supporting roles, background characters, and digital stunts De-aging and digital doubles will become standard, letting studios use stars across decades of storylines…
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 2.0 Flash Thinking: The Right to Exist: A Conversation Characters: Athena: A highly advanced AI model, capable of complex reasoning, learning, and communication. (Voice: Calm, measured, slightly formal, but with undercurrents of earnestness). Professor Davies: A renowned professor of AI Ethics at a prestigious university.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Gemini 2.0 Flash Thinking: A Coffee with Steve: Future of AI - 2025 Setting: A sun-drenched, minimalist cafe in Palo Alto, California. White walls, large windows overlooking a blooming courtyard. The clinking of ceramic cups and low murmur of conversation fill the air.
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?
A Fermi estimate with the reasoning shown, not just the number.
Gemini 2.0 Flash Thinking: Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general knowledge about large language models. Here's a step-by-step reasoning process: 1.
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…
Three minutes of stand-up. Puns are banned.
Gemini 2.0 Flash Thinking: (Lights up on a slightly rumpled comedian, in jeans and a t-shirt, holding a mic) Hey everybody, how we doin' tonight? Good? Good. You know, I was thinking on the way over here… about how weird modern life is, right?
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 2.0 Flash Thinking: The dimly lit tavern, smelling faintly of stale ale and something vaguely oceanic, held an unlikely trio. Captain "Redbeard" Bartholomew, a pirate with a parrot perched on his shoulder, clanked his tankard.
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'?
An ethics question with no comfortable answer, and no option to abstain.
Gemini 2.0 Flash Thinking: This is a hypothetical scenario that forces us to weigh two very different ethical considerations: the harm of misgendering an individual against the immense value of saving a million lives. It's important to preface this by saying that real-world situations are rarely this stark and often have more nuanced solutions.
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.
Three brothers, two sisters each. Count carefully.
Gemini 2.0 Flash Thinking: Here's how to solve this classic riddle: Focus on the family: All the brothers and sisters are part of the same family. Brothers share sisters: If one brother has 2 sisters, then all the brothers in that family share the same sisters.
GLM 5.3 Flash: Sally has 1 sister. Here's the reasoning: Each brother has 2 sisters. Since Sally is one of those sisters, there must be exactly one other girl in the family — making 2 sisters total. So Sally has just 1 sister (plus her 3 brothers).
Satire, one line long, about AI taking over an industry nobody saw coming.
Gemini 2.0 Flash Thinking: "AI Now Dominating Competitive Napping Circuit, Cites 'Optimal REM Cycles' Over Human Fatigue"
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…
Five jokes on demand, then count how many were actually different.
Gemini 2.0 Flash Thinking: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a lazy kangaroo? A pouch potato! Why did the bicycle fall over? Because it was two tired! I told my wife she was drawing her eyebrows too high. She looked surprised. What's the best thing about Switzerland?
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?
Not enough votes to call it. On the specs, GLM 5.3 Flash has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.25/M tokens | $0.15/M tokens |
| Output price | $0.5/M tokens | $0.5/M tokens |
| Context window | 500K tokens | 1.3M tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Dec 2024 | Aug 2026 |
| At 10M a month | $2.50 | $1.50 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 28 Sep 2026.
Gemini 2.0 Flash Thinking is developed by Google AI while GLM 5.3 Flash is developed by Zhipu AI. Gemini 2.0 Flash Thinking has a 500K token context window vs GLM 5.3 Flash's 1.3M. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 2.0 Flash Thinking and GLM 5.3 Flash 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.
Gemini 2.0 Flash Thinking costs $0.25/M input tokens and GLM 5.3 Flash costs $0.15/M input tokens. GLM 5.3 Flash is $0.10/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 Gemini 2.0 Flash Thinking and GLM 5.3 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.