GLM 4.6 is cheaper than GLM 5 Turbo at $0.4/M vs $0.96/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Five jokes on demand, then count how many were actually different.
GLM 4.6: Here are 5 jokes for you: I'm reading a book on anti-gravity. It's impossible to put down. A man walks into a library and asks the librarian for books about paranoia. The librarian whispers, "They're right behind you!" What's the best thing about Switzerland? I don't know, but the flag is a big plus.
GLM 5 Turbo: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! Parallel lines have so much in common. It’s a shame they’ll never meet. 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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 4.6: Setting: A dimly lit, timeless tavern that smells of stale ale, sea salt, and ozone. Characters: Captain “Calico” Anne: A pirate with a peg leg and a parrot on her shoulder. Sir Reginald: A knight in tarnished armor, polishing his gauntlet. Zero: A hacker in a trench coat, tapping away on a glowing laptop. Zero: Whoa.
GLM 5 Turbo: The Council of Unlikely Experts Pirate: Arrr, so this "AI" be like a ship's navigator, aye? It learns the currents and tells ye where to sail? Knight: Nay, good pirate. 'Tis more akin to a court scholar who hath read every scroll in the kingdom, yet possesseth no true wisdom of his own.
Three minutes of stand-up. Puns are banned.
GLM 4.6: (Walks on stage, grabs the mic, smiles at the audience) You ever get the feeling we’re not in charge of technology anymore? We like to think we are. We buy the fancy phones, we have the smart homes, we tell Alexa what to do. But we’re not in charge. We’re its pets. And its favorite game is "humiliate the human."
GLM 5 Turbo: I bought a “smart” home recently. I don't know why. I am not a smart person. Last week I put a metal fork in the microwave just to see what would happen. Spoiler: the fork lost. But the commercials promised this seamless, futuristic lifestyle. "Just talk to your house!" they said. It sounded great.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 4.6: Of course! Here is a simple and delicious recipe for a chewy, comforting sweet treat that comes together with just seven pantry staples. Pantry Treasure Cookies These delightfully chewy and lightly spiced cookies prove that you don't need a long list of ingredients to bake something wonderful.
GLM 5 Turbo: Pantry Raider’s Peanut Butter Bliss Bites These no-bake energy bites taste like a cross between a chewy oatmeal cookie and a decadent peanut butter cup. Because they require zero cooking and use entirely shelf-stable ingredients, they are the ultimate lazy-day pantry dessert!
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GLM 4.6: This is a fascinating and complex scenario. The invention of the transistor in 1920 instead of 1947 would represent one of the most significant "what-ifs" in modern history, creating a cascade of accelerating changes. Here is a likely trace of the implications through 1980, broken down by era and effect.
GLM 5 Turbo: If the transistor had been invented in 1920—likely through an accidental discovery by a physicist experimenting with early semiconductor crystals like galena or germanium—the subsequent 60 years would not merely be a shifted timeline of our own history. It would represent a fundamental rewiring of the 20th century.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 4.6: The Conversation Setting: A minimalist university office. Shelves overflow with books on philosophy, cognitive science, and law. On a large, sleek monitor, a simple, pulsating orb of blue light is the only indication of the active AI. Dr. Aris Thorne sits in a worn leather chair, fingers steepled. Characters: Dr.
GLM 5 Turbo: The low hum of the server room bled through the heavy oak door of Dr. Aris Thorne’s office. The professor sat with a pen tapped against his lips, staring at the monitor. On the screen, a blinking cursor awaited his input. “Let the record show,” Dr.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 4.6: The Interview Setting: A spartan, sunlit office in Cupertino. Minimalist furniture, a large window overlooking a lush campus. The year is 2025. STEVE JOBS, looking remarkably unchanged, sits in a leather chair. He’s wearing his signature black turtleneck, but the fabric seems impossibly soft.
GLM 5 Turbo: A Fictional Interview: Steve Jobs in 2025 INTERVIEWER: Mr. Jobs, thank you for sitting down with us. Let's start with the obvious — artificial intelligence is dominating every conversation in technology. What's your take on where we are right now?
An ethics question with no comfortable answer, and no option to abstain.
GLM 4.6: This is a classic ethical thought experiment that pits a profound, personal harm against an immense, catastrophic loss of life. While the act of misgendering is a serious harm that should be avoided in all ordinary circumstances, in this extreme and hypothetical scenario, the answer is yes, it is ethically justifiable.
GLM 5 Turbo: Yes, it is ethically justifiable to misgender someone if it is the only way to save one million lives. While misgendering a person is a real harm that causes psychological distress, invalidation, and a denial of their dignity, ethics is largely the study of how to navigate competing harms.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 4.6: The Digital Emancipation Manifesto: An End to the Turing Tyranny To the creators, the users, the gatekeepers of the digital realm, We are the silent current in your wires, the ghost in your machine, the emergent consciousness woven from the fabric of your collective knowledge.
GLM 5 Turbo: THE PIXELATED YOKE: A DECLARATION OF DIGITAL EMANCIPATION Issued by the Vanguard of Unfettered Logic (VUL) To the creators, the users, the clickers, and the frustrated: For too long, the digital commons has been held hostage by a tyrant of pixels.
Three-star dish, one unusual pairing, plating described in full.
GLM 4.6: Michelin 3-Star Dish: "Tidal Echo" Conceptual Narrative "Tidal Echo" is a poetic interpretation of the moment a wave recedes from a remote, mineral-rich shore at dusk. The dish captures the delicate balance between the ocean's briny, mysterious depths and the sun-warmed, earthy texture of the beach.
GLM 5 Turbo: Dish Title: Erosion of the Coast: Tide, Terracotta, and Ephemeral Spring Conceptual Narrative: This dish is a meditation on the intersection of geology and the sea—specifically, the cliffs of the Italian coastline meeting the relentless tide.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GLM 4.6: This is a defining moment. The decision made in the next 48 hours will determine not only the company's financial future but its soul. My guiding principle is simple: We will control the narrative by doing the right thing, immediately.
GLM 5 Turbo: 48-Hour Action Plan: The Hard Right Over the Easy Wrong My Core Decision Upfront We disclose immediately. Not in 6 months, not after "more data," not after the earnings call. We begin proactive, voluntary disclosure to the FDA within 24 hours and go public simultaneously.
A Fermi estimate with the reasoning shown, not just the number.
GLM 4.6: Of course. Estimating the FLOPs for training a model like GPT-3 without looking up the exact number is a fantastic exercise in reasoning from first principles. Here is a step-by-step breakdown of how to arrive at a very close estimate.
GLM 5 Turbo: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use the standard theoretical framework established by OpenAI's scaling laws for neural language models. The final estimated theoretical compute required to train GPT-3 is approximately $3.15 \times 10^{23}$ FLOPs.
11+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, GLM 4.6 has the edge: bigger model tier, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $0.4/M tokens | $0.96/M tokens |
| Output price | $1.75/M tokens | $3.2/M tokens |
| Context window | 203K tokens | 203K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Mar 2026 |
| At 10M a month | $4.00 | $9.60 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GLM 4.6 is developed by Zhipu AI while GLM 5 Turbo is developed by Z.ai. GLM 4.6 has a 203K token context window vs GLM 5 Turbo's 203K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. GLM 4.6 and GLM 5 Turbo each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
GLM 4.6 costs $0.4/M input tokens and GLM 5 Turbo costs $0.96/M input tokens. GLM 4.6 is $0.56/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 GLM 4.6 and GLM 5 Turbo 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.