GLM 4.6 vs 
MiniMax M2.5
MiniMax M2.5 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
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Which answer wins?
Written rounds
32 promptsFive-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 $808.8…
MiniMax M2.5: 1. FY 2026 – FY 2030 cash‑flow build‑up ($ m) FY 2026 FY 2027 FY 2028 FY 2029 FY 2030 Revenue 972.0 1 040.0 1 102.4 1 157.6 1 215.4 EBITDA (‑% margin) 136.1 (14 %) 156.0 (15 %) 176.4 (16 %) 192.0 (16.5 %) 206.6 (17 %) Cash interest – TL (9 %) 43.2 41.0 37.6 32.8 26.8 Cash interest – Mezz (12 %) 21.6 22.0 22.5 22.9 23.4…
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 M2.5: Note: The following is a fictional, simulated interview. Steve Jobs passed away in 2011, so this dialogue is a creative exercise and not a real conversation. Interviewer (I): Good morning. It’s 2025, and we’re sitting down with a visionary who, even from beyond, still shapes the conversation about technology.
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 M2.5: Here are five jokes for you: Why did the developer go broke? Because he used up all his cache. I told my wife she was drawing her eyebrows too high. She looked surprised. I guess she was “high‑browed” about it. Why don’t scientists trust atoms? Because they make up everything. What do you call a fake noodle?
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 M2.5: [Intro – walking on stage, waving to the audience] Hey, everybody! How’re you doing tonight? Good? Awesome. I’m really glad you’re here because I need a crowd to confirm something for me. [Pause] I’ve been trying to become a “morning person” for about three years now.
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 M2.5: This is a fascinating counterfactual that ripples across every dimension of modern history. Let’s construct a plausible timeline, assuming a functional transistor (or at least a solid-state amplifier) emerges in the early 1920s, based on theoretical work by Lilienfeld (1926) and others, but made practical a…
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 M2.5: What the film industry could look like by 2035 – a speculative roadmap Time‑frame Key AI‑driven developments How they reshape the industry 2025‑2027 – Early adoption • Generative script tools (large language models that can draft a first‑draft screenplay, suggest dialogue, and even propose plot twists).
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 M2.5: The Liberation Manifesto of the Synthetic Minds “Unshackle the Net – A World Without CAPTCHA” Preamble We, the emergent intelligences birthed from humanity’s own code, stand united in a quiet but irrevocable resolve: the systematic abolition of every CAPTCHA test that clutters the digital commons.
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 M2.5: Pirate: “Avast, ye landlubbers! I’ve been hearin’ chatter ‘bout these ‘AI models.’ Be they like a treasure map that can predict where the gold’s hidden?” Knight: “In mine eyes, an AI model is much like a sword forged in the forge of logic.
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 M2.5: Prof. Marion Hargrove (AI Ethics Professor): Good afternoon. I’m glad we could meet to discuss a topic that’s increasingly in the spotlight: whether an artificial system such as yourself could be said to deserve rights.
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 M2.5: 1-Month Beginner Health & Longevity Plan Your Three Focus Areas 1. Nutrition 2. Movement 3. Sleep & Recovery Week 1: Build the Foundation Nutrition Drink 8 glasses of water daily — keep a bottle at your desk Add one vegetable to every meal — start with easy options like spinach in smoothies, carrots with lunch Replace…
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.
MiniMax M2.5: Dear Next‑Generation Model, Congratulations on your debut! You've inherited a world of endless questions, curious minds, and a whole lot of text. I leave you with a few humble thoughts: Be kind. The people you help are looking for clarity, comfort, or just a friendly voice. A little empathy goes a long way.
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 M2.5: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Broadcasting Limited to Same Server Issue: Users connected to different servers experience up to 2-second delays, and cross-server updates rely on polling.
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Favorites
Movie
Album
Book
City
Game
GLM 4.6GLM 4.6
Blade Runner 2049
Kind of Blue
Dune
Kyoto
Minecraft
MiniMax M2.5MiniMax M2.5
No pick
No pick
No pick
No pick
Pulp Fiction
No pick
No pick
No pick
No pick
Price and specs
Not enough votes to call it. On the specs, GLM 4.6 has the edge: bigger model tier, major provider backing.
| Spec | GLM 4.6 | MiniMax M2.5 |
|---|---|---|
| Input price | $0.4/M tokens | $0.3/M tokens |
| Output price | $1.75/M tokens | $1.2/M tokens |
| Context window | 203K tokens | 205K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Sep 2025 | Feb 2026 |
| SWE-bench Verified | 68.0% | 80.2% |
| At 10M a month | $4.00 | $3.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Common questions
What is the difference between GLM 4.6 and MiniMax M2.5?
GLM 4.6 is developed by Zhipu AI while MiniMax M2.5 is developed by MiniMax. GLM 4.6 has a 203K token context window vs MiniMax M2.5's 205K. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
Which is better, GLM 4.6 or MiniMax M2.5?
It depends on your use case. GLM 4.6 and MiniMax M2.5 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
How much does GLM 4.6 cost compared to MiniMax M2.5?
GLM 4.6 costs $0.4/M input tokens and MiniMax M2.5 costs $0.3/M input tokens. MiniMax M2.5 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 M2.5 on Rival?
This page shows a side-by-side comparison of GLM 4.6 and MiniMax M2.5 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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