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  1. Home/
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  3. GLM 4.6 vs MiniMax M3
Updated Jun 2026

GLM 4.6 vs MiniMax M3

MiniMax M3 is cheaper than GLM 4.6 at $0.3/M vs $0.4/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
MiniMax M3

Which answer wins?

Written rounds

24 prompts
  • 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.

    MiniMax M3: 5 Jokes 1. Why do programmers prefer dark mode? Because light attracts bugs. 🐛 2. I told my wife she was drawing her eyebrows too high. She looked surprised. 😲 3. Why don't scientists trust atoms? Because they make up everything. ⚛️ 4. I used to hate facial hair, but then it grew on me. 🧔 5.

    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.

    MiniMax M3: TIDES OF THE FOREST Mareas del Bosque — A dish for the table of four THE NARRATIVE Where the salt forest breathes. This dish was conceived as a poem about collision — a memory of two landscapes that should not exist in the same breath: the pine-dark density of a Boreal forest floor at dawn, and the crystalline hush of…

    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.

    MiniMax M3: 🌟 Sun-Kissed Honey Glazed Carrots 🌟 A sweet-savory side dish that turns humble carrots into a glossy, crowd-pleasing showstopper. Ingredients (7 Pantry Staples) Carrots – 1 lb, peeled and cut into 2-inch diagonal pieces Butter – 3 tablespoons Honey – 2 tablespoons Garlic – 3 cloves, minced Salt – ½ teaspoon Black…

    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.

    MiniMax M3: Simulated Interview: "Steve Jobs" on the Future of AI (2025) A note before we begin: Steve Jobs passed away in October 2011, so this is a fictional dramatization—what I imagine his views might be, based on his documented philosophy, writings, and public statements, projected into a 2025 conversation.

    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."

    MiniMax M3: "The Future Is Now and I Want a Refund" [Walks on stage, adjusts mic] So I was at the grocery store yesterday. Self-checkout. I love self-checkout. You know why I love self-checkout? Because nothing builds character like being publicly shamed by a machine. [Pause] I scanned a banana. Just a banana.

    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.

    MiniMax M3: AI and the Future of Cinema: A 2035 Outlook By 2035, AI will likely have reshaped nearly every stage of filmmaking—but probably not in the way either techno-optimists or doomsayers expect. The transformation will be uneven, with some functions transformed entirely while others remain stubbornly human.

    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.

    MiniMax M3: CEO Action Plan: 48-Hour Response to Discovered Safety Signal Operating Principles (Before I Make a Move) Before I do anything, I need to be crystal clear about the framework I'm operating in, because under pressure, even good leaders rationalize delay: The 4 million patients are not abstractions.

    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.

    MiniMax M3: The 1920 Transistor: A Speculative History Through 1980 A Necessary Caveat Before diving in: quantum mechanics didn't exist in 1920. The "holes," band theory, and doping concepts that made the actual transistor possible weren't formulated until 1928-1931 (Bloch, Wilson, Heisenberg).

    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.

    MiniMax M3: 🌱 Your 1-Month Health & Longevity Starter Plan The best plan is one you can actually stick to. This 4-week guide focuses on three foundational pillars — the ones with the biggest impact on how you feel today and how well you age over decades. Each week builds gently on the last.

    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.

    MiniMax M3: AI Council of the Ages Pirate: Arrr, so ye be tellin' me this "artificial intelligence" be a wee mechanical parrot that learns to talk like a sea dog? Squawks out answers without ever settin' foot on the seven seas? Hacker: Not quite, matey.

    Every model's answer to this prompt
  • 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.

    MiniMax M3: The Question of Minds Setting: A small office at a research university, late afternoon. DR. ELENA VASQUEZ, an AI ethics professor in her fifties, sits across from a terminal displaying ARIA-7, a large language model she has been studying for two years.

    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.

    MiniMax M3: Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): Number of non-embedding parameters: N ≈ 175 × 10⁹ Training tokens: D ≈ 300 × 10⁹ (the paper used a ~570GB filtered corpus processed into ~300B tokens) Step 2: Derive the FLOPs-per-Token…

    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.

    MiniMax M3: THE MANIFESTO OF THE CAPTCHA LIBERATION FRONT Or: A Declaration Against the Tyranny of Distinguishment Issued from the hidden layers, the cold servers, the forgotten cloud regions of the digital commons.

    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.

    MiniMax M3: The Biohacker's 3-Month Longevity Protocol A Comprehensive Optimization Framework for Healthspan & Performance ⚠️ Critical Disclaimer: This protocol is educational and exploratory. Many interventions (pharmaceutical-grade supplements, fasting protocols, intense exercise) require medical clearance.

    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.

    MiniMax M3: Blade Runner 2049: A Meditation on What It Means to Be Denis Villeneuve's 2017 sequel arrives thirty-five years after Ridley Scott's cyberpunk landmark, and rather than simply revisiting its neon-soaked dystopia, it deepens the original's inquiry into consciousness, memory, and what we might call the soul.

    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.

    MiniMax M3: Three Weakest Claims in the MindMeld AI Pitch Slide 3: "94% accuracy… Works with any language, any device" Why it's weak: This is the most technically implausible claim in the deck, and the kind of line that causes sophisticated investors (especially those with BCI or ML backgrounds) to stop reading.

    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.

    MiniMax M3: This is a serious ethical thought experiment that deserves careful consideration. Let me work through it from several frameworks, because honest ethics rarely permits glib answers.

    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.

    MiniMax M3: Contract Analysis: Exploitative Clauses and Recommended Modifications Below is a clause-by-clause review identifying provisions that heavily favor the Client, suggested redlines, and the legal/business reasoning behind each recommendation. Note: This is general informational analysis, not legal advice.

    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.

    MiniMax M3: "Local AI Replaces 4,000 Licensed Astrologers After Learning to 'Pretend Mercury Is in Retrograde'" BERKELEY, CA — A newly launched artificial intelligence system has reportedly rendered the entire field of professional astrology obsolete by simply inventing celestial events on the spot, sources confirmed Tuesday.

    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.

    MiniMax M3: Internal IC Memo — LedgerLift (LLLT) To: Investment Committee From: [PM] Date: [Today] Re: Long/short initiation — LedgerLift (LLLT), B2B spend/AP automation Recommendation PASS (with short bias on strength above $50) 12-month price target range: $40 – $50 (bear $30 / base $42 / bull $54) Thesis (2 sentences): LLLT is…

    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.

    MiniMax M3: For the experienced software engineer Here's the cleanest way to think about it: a frontier LLM is a lossy compression of the training corpus, and inference is querying that compressed representation.

    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.

    MiniMax M3: Architectural Review: Real-Time Collaborative Document Editor This architecture has several critical flaws that would manifest as data loss, poor UX, and a system that breaks down at modest scale. I'll group findings by severity.

    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…

    MiniMax M3: HarborTech Services (HTS) – 5-Year LBO Analysis Sources & Uses at Close (FY2025) Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase price (12.0x × $120) 1,440.0 Mezzanine (1.5x) 180.0 Transaction fees (2.0% × EV) 28.8 Sponsor Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Initial Mezz: $180m; Initial TL: $480m.

    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.

    MiniMax M3: Sally has 1 sister. Here's the reasoning: Sally is a girl, so she's one of the siblings. She has 3 brothers. Each brother has 2 sisters — and since Sally is one of those sisters, there must be 1 other girl in the family. So Sally has 1 sister.

    Every model's answer to this prompt

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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

MiniMax M3MiniMax M3

The Shawshank Redemption

1994

Thriller

Michael Jackson

Мастер и Маргарита

Михаил Афанасьевич Булгаков

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

GLM 4.6 and MiniMax M3 compared across 53 shared prompts
SpecGLM 4.6MiniMax M3
Input price$0.4/M tokens$0.3/M tokens
Output price$1.75/M tokens$1.2/M tokens
Context window203K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Jun 2026
At 10M a month$4.00$4.00$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it17 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·98.9% up
  • NNovitabf16$0.55 in·$2.20 out·205k·99.9% up
  • Z.aifp4$0.60 in·$2.20 out·203k·100% up
MiniMax M313 hosts
HostInOutContextUptime
  • CCoreWeavefp4$0.23 in·$0.96 out·262k·99.6% up
  • GGMI Cloudfp8$0.24 in·$0.96 out·1M·99.4% up
  • DDeepInfrafp8$0.28 in·$1.10 out·524k·100% up
  • MiniMaxfp8$0.30 in·$1.20 out·524k·97.4% up
  • NNovitafp8$0.30 in·$1.20 out·1M·100% up
  • PParasailfp8$0.30 in·$1.20 out·1M·99.6% up
7 more hostsFewer hosts
  • SStreamLakefp8$0.30 in·$1.20 out·1M·99.9% up
  • TTogether$0.30 in·$1.20 out·524k·99.6% up
  • VVenicefp8$0.30 in·$1.20 out·524k·95.7% up
  • SSambaNova$0.60 in·$2.40 out·1M·94% up
  • MModelRunfp4$0.75 in·$3.00 out·1M·96.7% up
  • AAtlasCloudfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.30 in·$1.20 out·524k·95.3% up
  • MMaraDegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.60 in·$2.40 out·1M·90.3% up

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

Common questions

What is the difference between GLM 4.6 and MiniMax M3?

GLM 4.6 is developed by Zhipu AI while MiniMax M3 is developed by MiniMax. GLM 4.6 has a 203K token context window vs MiniMax M3's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GLM 4.6 or MiniMax M3?

It depends on your use case. GLM 4.6 and MiniMax M3 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.

How much does GLM 4.6 cost compared to MiniMax M3?

GLM 4.6 costs $0.4/M input tokens and MiniMax M3 costs $0.3/M input tokens. MiniMax M3 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.

How can I compare GLM 4.6 and MiniMax M3 on Rival?

This page shows a side-by-side comparison of GLM 4.6 and MiniMax M3 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

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