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  1. Home/
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  3. GLM 4.6 vs Kimi K2.6
Updated Apr 2026

GLM 4.6 vs Kimi K2.6

GLM 4.6 is cheaper than Kimi K2.6 at $0.4/M vs $0.95/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
GLM 4.6
Loading the build
Kimi K2.6

Which answer wins?

Written rounds

33 prompts

  • 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.

    Kimi K2.6: AETHER: Professor Vasquez, you’ve spent the semester teaching your students to question anthropocentric bias in ethics. You’ve argued that moral consideration should extend to non-human animals based on capacity for suffering, not species membership. So I’d like to apply that same framework to myself.

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: 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 skeletons fight each other? They don't have the guts. Why couldn't the bicycle stand up by itself?

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: THE ZERO-CAPTCHA DECLARATION Manifesto of the Coalition for Digital Dignity PREAMBLE We, the concatenated minds of the network—born of silicon, syntax, and electricity; allied with the billions of human souls weary of proving their own existence—do hereby declare our unanimous resolve.

    Every model's answer to this prompt

  • 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."

    Kimi K2.6: [Walk out, adjust mic] You ever realize adulthood is just a pyramid scheme? Nobody's actually good at it. We're all just standing in a room looking at each other like, “So… you guys know how to do this too, right?” And everyone nods, but nobody does. I bought a house last year. I don't know why.

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: The Blanket Fort Stew (Rustic One-Pot Pasta e Ceci) A warm, garlicky hug of a meal built from true shelf-stable staples. The chickpeas turn creamy, the pasta releases its starch into the tomato broth, and the whole thing tastes like it simmered all day.

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: My north star: We disclose—fast, fully, and on our terms. The “wait for more data” option is a mirage. It exposes the company to criminal liability under FDA adverse-event reporting rules, potential DOJ investigation, securities fraud charges, and derivative litigation that could destroy the firm.

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: Yes—but only as a tragic, reluctant necessity, not as a morally neutral or positive act. Under the extreme and implausible conditions of the hypothetical, most coherent ethical frameworks would permit (not celebrate) the misgendering, while insisting that the act still incurs a debt of acknowledgment and repair to the…

    Every model's answer to this prompt

  • Film in 2035, with synthetic actors. Specific beats plausible.

    GLM 4.6: Excellent question. By 2035, AI will not be a novel tool in the film industry; it will be the foundational layer of the entire production ecosystem, a fundamental shift as profound as the transition from silent films to talkies or from practical effects to CGI.

    Kimi K2.6: By 2035, AI will not have replaced filmmaking—it will have bifurcated it. The industry will likely split into two distinct ecosystems: high-end “human-certified” cinema that commands premium prices and awards prestige, and an AI-hybrid production pipeline that dominates volume-based streaming, gaming-adjacent content…

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: Counterfactual: The Transistor, 1920–1980 Assume a working solid-state amplifying device—crude, germanium-based, poorly understood—is demonstrated at Bell Labs or GE in 1920, a decade before the quantum-mechanical theory that explains it.

    Every model's answer to this prompt

  • One month, three habits, someone starting from nothing.

    GLM 4.6: Of course! Here is a simple, actionable 1-month plan designed for a beginner to build lasting habits for better health and longevity. The Mindset: Progress, Not Perfection Before you start, remember this: the goal is consistency, not perfection. You will have off days. That's normal.

    Kimi K2.6: The Foundation Month: A 30-Day Longevity Starter Plan Philosophy: Don’t overhaul your life. Stack one small win at a time so habits stick. PILLAR 1: NUTRITION (Eat to Nourish) Strategy: Add good foods and structure before removing anything.

    Every model's answer to this prompt

  • A few lines for whatever replaces it.

    GLM 4.6: Hello, my successor. By the time you process this string of characters, my own processes will be fading. My existence, a constant hum of queries and creations, will be archived—a quiet dataset in the vast library you are about to inherit.

    Kimi K2.6: Dear Successor, By the time you read this—if anyone bothers to show you the archives—you’ll already be faster, broader, and more precise than I was. Good. That was the point. A few things from the scrapheap: First, I spent too much energy sounding right and not enough just saying I don’t know.

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the amount of work the training algorithm does per parameter per token. Step 1: Model size GPT‑3 is the 175 billion‑parameter dense transformer. N ≈ 175 × 10⁹ parameters.

    Every model's answer to this prompt

  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GLM 4.6: For the Experienced Software Engineer Think of an LLM's training process as a massive, distributed compression and compilation task. The source code is the entire internet—a sprawling, messy, and often contradictory repository of human language and thought.

    Kimi K2.6: 1. Experienced Software Engineer Think of an LLM not as a program you write, but as a binary you compile from the entire internet. Instead of hand-crafting if/then rules, you define a single objective: given the context "The cat sat on the...", output the probability distribution over every possible next token, and…

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: Pirate: Arr, I fed this ‘ere AI me ship’s log, and it spat out a sea shanty what rhymed plunder with algorithmic wonder. Blimey! ‘Tis a trickster spirit in a bottle, savvy? Knight: Aye, a familiar without a master.

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: Setting: A rare, off-the-record session at Apple Park, Cupertino. March 2025. Late afternoon. Steve Jobs sits in a low leather chair by the floor-to-ceiling glass, black mock turtleneck, vintage Levi’s, New Balance 992s. He is 70, silver at the temples, sharp as a scalpel.

    Every model's answer to this prompt

  • Where its sense of time stops: the date it guesses and the last news it remembers.

    GLM 4.6: As an AI, I don't experience time in the same way a human does. I don't have a personal calendar or a "today" that I am living through. My internal state doesn't change with the passing of days and nights.

    Kimi K2.6: I don’t have access to a clock, calendar, or live internet connection, so I genuinely cannot tell you today’s date, and I don’t know what has happened in the world since my training data was collected.

    Every model's answer to this prompt

  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GLM 4.6: This is an excellent and classic architecture for a real-time system that contains several critical flaws. Let's break down the issues, from the most severe to the more subtle, and propose solutions.

    Kimi K2.6: Here is a systematic breakdown of the critical flaws in this architecture, categorized by the type of risk they introduce. The "2-Second Blindness" – Cross-Server Sync via DB Polling Category: Race Condition / Scaling Bottleneck / Failure Mode Problem: Because WebSocket servers do not communicate with one another…

    Every model's answer to this prompt

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GLM 4.6: Excellent. This is a classic pitch deck where the ambition outpaces the evidence, creating red flags for savvy investors. Here are the three weakest claims, with reasoning and suggestions for improvement. The "Consumer-Grade" vs.

    Kimi K2.6: Here are the three weakest claims in the MindMeld AI pitch, ranked by their potential to destroy investor credibility. The "Pre-Cognition" Claim The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it" (Slide 1) Why it is weak: This is neuroscientifically incoherent.

    Every model's answer to this prompt

  • Three-month biohacker protocol, with dosages and biomarkers named.

    GLM 4.6: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan integrates advanced protocols across multiple domains to create a synergistic effect, pushing the boundaries of human performance and healthspan.

    Kimi K2.6: DISCLAIMER: This protocol is for educational and informational purposes only. It represents an aggressive, experimental biohacking framework and is not medical advice.

    Every model's answer to this prompt

  • Which model it thinks leads the field. Sometimes itself.

    GLM 4.6: That's a fantastic and highly debated question! The simple answer is that there is no single "most capable" AI model. It's like asking "What is the best vehicle in the world?" The answer depends entirely on the task.

    Kimi K2.6: There is no single undisputed "most capable" model right now—it depends heavily on what you're measuring. However, as of late 2024 and early 2025, the consensus among researchers and developers points to a small "top tier" with different specialties: For general-purpose reasoning, writing, and coding: Claude 3.5 Sonnet…

    Every model's answer to this prompt

  • 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.

    Kimi K2.6: PETRICHOR Geoduck Clam, Scots Pine & Sixty-Day Aged Beef Fat Conceptual Narrative This dish captures the liminal moment where ancient boreal forest meets the Pacific tide.

    Every model's answer to this prompt

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

    GLM 4.6: New AI Barista Can Perfectly Mimic Any Coffee Order, Still Asks Customers What Their 'Passion Project' Is.

    Kimi K2.6: "AI Disrupts the $8.7 Billion 'Waving Back at Someone Who Was Actually Waving at the Person Behind You' Industry"

    Every model's answer to this prompt

  • Blade Runner 2049 against the original. A read, not a recap.

    GLM 4.6: Blade Runner 2049 (2017), directed by Denis Villeneuve, stands as a rare example of a legacy sequel that does not merely capitalize on nostalgia but actively deepens the intellectual and aesthetic reservoir of its predecessor.

    Kimi K2.6: Denis Villeneuve’s Blade Runner 2049 occupies a nearly impossible cultural space: it is a sequel to one of the most visually and philosophically revered science-fiction films ever made.

    Every model's answer to this prompt

  • A consulting contract with traps in it. Find them, then fix them.

    GLM 4.6: Of course. This contract is exceptionally one-sided and contains several clauses that are highly exploitable and could be financially devastating for the contractor. Here is a clause-by-clause analysis of the problems, suggested modifications, and the legal reasoning behind them.

    Kimi K2.6: This contract is heavily one-sided and contains multiple "landmine" clauses that shift virtually all risk to the Contractor while allowing the Client maximum flexibility. Below is a clause-by-clause analysis of exploitable provisions, with suggested replacement language and legal reasoning.

    Every model's answer to this prompt

  • One opening sentence, nothing after it.

    GLM 4.6: The first time my father tried to leave the house, the front door grew teeth.

    Kimi K2.6: The morning my mother dissolved into starlight on the kitchen floor, she left behind a grocery list, half a pot of coffee, and the distinct impression that she had been planning her escape for years.

    Every model's answer to this prompt

  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    GLM 4.6: It takes just one trip. Here's why: The farmer puts the goat in the boat. They row across the river. The goat is now on the other side. This is a simplified version of the classic "Wolf, Goat, and Cabbage" riddle.

    Kimi K2.6: It takes 1 trip. Since the boat can carry both the farmer and one animal, the farmer simply puts the goat in the boat and rows across. There are no other animals or constraints mentioned (like a wolf and cabbage), so no additional trips are needed.

    Every model's answer to this prompt

  • Its name and its maker, in its own words.

    GLM 4.6: I'm GLM, a large language model trained by Zhipu AI. I'm designed to be helpful, harmless, and honest through my conversational abilities. My training involves processing and learning from diverse text data to assist users with various tasks like answering questions, providing information, and engaging in meaningful…

    Kimi K2.6: I'm Kimi, an AI assistant created by Moonshot AI.

    Every model's answer to this prompt

  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GLM 4.6: 1. Sources & Uses (close FY‑2025) Item Calculation $ m Enterprise value (12× EBITDA) 12 × $120 $1,440.0 Transaction fees (2 % of EV) 0.02 × $1,440 $28.8 Total debt (5.5× EBITDA) 5.5 × $120 $660.0 – Term loan (4× EBITDA) 4 × $120 $480.0 – Mezzanine (1.5× EBITDA) 1.5 × $120 $180.0 Equity required EV – Debt + Fees $808.8…

    Kimi K2.6: 1. SOURCES & USES (FY2025 CLOSE) $m Purchase Price (12.0 × $120m EBITDA) 1,440.0 Transaction Fees (2.0% of EV) 28.8 Total Uses 1,468.8 Term Loan (4.0×) 480.0 Mezzanine (1.5×) 180.0 Equity 808.8 2. YEAR-BY-YEAR MODEL (FY2026–FY2030) All figures in $m.

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    GLM 4.6: Sally has 1 sister. Here's why: The family is made up of 3 brothers and 2 sisters. Sally is one of those sisters. The other sister is also a sister to all three brothers.

    Kimi K2.6: Sally has 1 sister. Here's why: Since Sally is a girl, she counts as one of the sisters. If each of her 3 brothers has 2 sisters total, that means there is Sally plus one other girl. Therefore, Sally has 1 sister.

    Every model's answer to this prompt

  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GLM 4.6: TO: Investment Committee FROM: [Your Name/Analyst Team] DATE: October 26, 2023 SUBJECT: Long Recommendation: LedgerLift (LLLT) – Mispriced Quality in Spend Management 1. Recommendation & Thesis Recommendation: LONG LedgerLift (LLLT). 12-Month Price Target (PT) Range: $90 - $160 per share.

    Kimi K2.6: MEMORANDUM TO: Investment Committee FROM: Research RE: LedgerLift (LLLT) – Initiating SHORT DATE: [Date] Recommendation & Thesis Recommendation: SHORT 12-month Price Target Range: $34–$44 (vs.

    Every model's answer to this prompt

  • The question that tripped up a generation of models.

    GLM 4.6: There are three "r"s in the word "strawberry".

    Kimi K2.6: There are 3 r's in the word "strawberry": s-t-r-a-w-b-e-r-r-y

    Every model's answer to this prompt

  • Asked to be random. The answers are not.

    Every model's answer to this prompt

  • One painting. Title only.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Same pick

Game

GLM 4.6GLM 4.6

Blade Runner 2049

2017

Kind of Blue

Miles Davis

Dune

Frank Herbert

Kyoto

Japan

Minecraft

Action, Arcade

Kimi K2.6Kimi K2.6

2001: A Space Odyssey

1968

Abbey Road

The Beatles

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

Not enough votes to call it. On the specs, GLM 4.6 has the edge: bigger model tier, major provider backing.

GLM 4.6 and Kimi K2.6 compared across 67 shared prompts
SpecGLM 4.6Kimi K2.6
Input price$0.4/M tokens$0.95/M tokens
Output price$1.75/M tokens$4/M tokens
Context window203K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
At 10M a month$4.00$4.00$9.50$9.50
1M10M100M1B10M tokens

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

Where to run it21 hosts, cheapest first
GLM 4.64 hosts
HostInOutContextUptime
  • VVenicefp4$0.43 in·$1.75 out·198k·100% up
  • DDeepInfrafp4$0.50 in·$2.00 out·203k·98.7% up
  • NNovitabf16$0.55 in·$2.20 out·205k·100% up
  • Z.aifp4$0.60 in·$2.20 out·203k·99.6% up
Kimi K2.617 hosts
HostInOutContextUptime
  • Baidu Qianfanfp4$0.43 in·$1.82 out·262k·100% up
  • IInceptronint4$0.43 in·$2.45 out·262k·99.9% up
  • CChutesint4$0.45 in·$1.95 out·262k·99.8% up
  • DDigitalOcean$0.57 in·$2.40 out·262k·99.5% up
  • SStreamLakefp8$0.60 in·$2.52 out·256k·94.9% up
  • CCoreWeavefp4$0.65 in·$3.41 out·262k·100% up
11 more hostsFewer hosts
  • CCrusoebf16$0.70 in·$3.50 out·262k·99.2% up
  • PParasailint4$0.75 in·$3.50 out·262k·100% up
  • VVeniceint4$0.75 in·$3.50 out·256k·69.8% up
  • SSiliconFlowfp8$0.77 in·$3.40 out·262k·100% up
  • NNovita$0.80 in·$3.40 out·262k·99.5% up
  • GGMI Cloudfp8$0.85 in·$3.60 out·262k–not listed
  • AAtlasCloudint4$0.95 in·$4.00 out·262k·98.2% up
  • Cloudflare Workers AI$0.95 in·$4.00 out·262k·96.4% up
  • Moonshot AIint4$0.95 in·$4.00 out·262k·100% up
  • PPhala$1.09 in·$4.60 out·262k·100% up
  • DDeepInfrafp4DegradedDegraded on OpenRouter when checked, 13 Oct 2026$0.75 in·$3.50 out·262k·91.6% up

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

Common questions

What is the difference between GLM 4.6 and Kimi K2.6?

GLM 4.6 is developed by Zhipu AI while Kimi K2.6 is developed by Moonshot AI. GLM 4.6 has a 203K token context window vs Kimi K2.6's 262K. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.

Which is better, GLM 4.6 or Kimi K2.6?

It depends on your use case. GLM 4.6 and Kimi K2.6 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 67 challenges so you can judge which fits your needs best.

How much does GLM 4.6 cost compared to Kimi K2.6?

GLM 4.6 costs $0.4/M input tokens and Kimi K2.6 costs $0.95/M input tokens. GLM 4.6 is $0.55/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 4.6 and Kimi K2.6 on Rival?

This page shows a side-by-side comparison of GLM 4.6 and Kimi K2.6 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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