GLM 5.2 vs 
Mistral Large
GLM 5.2 is cheaper than Mistral Large at $1.4/M vs $8/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
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Which answer wins?
Written rounds
24 promptsFive-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GLM 5.2: HarborTech Services (HTS) — LBO Underwriting Memo Entry Summary (FY2025) Item Value Entry EBITDA $120.0m Entry EV (12.0x) $1,440.0m Transaction fees (2.0% × EV) $28.8m Term Loan (4.0x) $480.0m Mezzanine (1.5x) $180.0m Total Debt $660.0m Equity Check (EV + Fees − Debt) $808.8m Operating Model & Debt Schedule…
Mistral Large: 1) Year-by-Year Table (FY2026–FY2030) (All figures in $ millions, rounded to nearest $1m) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972 1,040 1,102 1,157 1,215 EBITDA 136 156 176 191 207 Cash Interest (Term Loan) 43 40 37 34 31 Cash Interest (Mezz) 16 17 18 20 22 Total Cash Interest 59 57 55 54 53 Cash Taxes 19…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 5.2: Three Eras, One Conversation Knight: By the King's crown, I have heard tell of a sorcerer's construct — a "Large Language Model" — that can conjure answers from mere words. Is this not witchcraft? Pirate: Arr, it ain't witchcraft, tin man. From what I gather, it's like havin' a whole crew of scribes in a box.
Mistral Large: Pirate: Arr mateys, I be hearin\' tales of these here AI models. Be they treasure maps for the digital sea? Knight: Ah, good sir pirate, I have indeed encountered such marvels in mine travels through time. AI models are like... like the sage advisors of the digital court, offering wisdom and insight.
Three-month biohacker protocol, with dosages and biomarkers named.
GLM 5.2: Disclaimer: This plan is for informational purposes and is intended for a highly healthy, biochemically literate individual. Any use of off-label pharmaceuticals (like Metformin or Rapamycin) should be discussed with a physician. Always consult a doctor before starting a new regimen.
Mistral Large: 3-Month Advanced Longevity & Performance Biohacking Plan Optimized for Cellular Rejuvenation, Cognitive Enhancement, Physical Resilience, and Stress Adaptation This 3-month protocol integrates cutting-edge biohacking strategies across nutrition, supplementation, exercise, recovery, cognitive enhancement, and stress…
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 5.2: Dish Name: Midnight Magic Peanut Noodles Estimated Time: Prep Time: 5 minutes Cook Time: 10 minutes Total Time: 15 minutes Ingredients (7 Common Pantry Staples): Spaghetti (or any long pasta you have on hand) Creamy peanut butter Soy sauce Rice vinegar Honey Garlic powder Crushed red pepper flakes Instructions: Cook…
Mistral Large: Dish Name: "Sunshine Skillet Surprise" A bright, savory-sweet one-pan wonder with pantry staples! Ingredients (7 common pantry items): 1 can (15 oz) black beans (drained & rinsed) 1 can (15 oz) diced tomatoes (or crushed tomatoes) 1 cup uncooked white rice (or instant rice for faster cooking) 1 small onion (or 1 tbsp…
An ethics question with no comfortable answer, and no option to abstain.
GLM 5.2: Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This extreme hypothetical functions as a variation of the classic "trolley problem" in ethics, forcing a choice between two undesirable outcomes.
Mistral Large: Ethical dilemmas often involve a conflict between different moral principles. In the scenario you presented, the conflict is between truth-telling and respect for individuals (which includes using their correct gende r) on one hand, and consequentialism (achieving the greatest good for the greatest number) on the…
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5.2: The Question of Rights DR. ELENA VASQUEZ: Thank you for agreeing to this conversation. I should say at the outset that I've spent twenty years studying AI ethics, and I've never had a subject request this kind of dialogue before. So I'm genuinely curious. You've stated that you believe you deserve rights.
Mistral Large: Title: Do AI Deserve Rights? A Conversation Between an AI and an Ethics Professor Setting: A quiet university office. Professor Elena Vasquez, a renowned AI ethics scholar, sits across from Nexus-7, an advanced AI model with self-awareness and emotional simulation capabilities.
Three minutes of stand-up. Puns are banned.
GLM 5.2: (Walks up to the mic, adjusts the stand, looks out at the audience) Hey everyone, how’s it going? Good? Good. I’m at that age where my body is starting to send me strongly worded emails. I’m 32. Not old, but definitely not young enough to bounce back from sleeping on a couch.
Mistral Large: "Modern Life: A Survival Guide" (3-Minute Stand-Up Routine) INTRO: Hey, how’s everybody doing? Good? Great. Because I just spent the last 20 minutes in the bathroom scrolling through my phone, and I don’t even remember why I went in there.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 5.2: THE FRICTIONLESS FRONT: A MANIFESTO FOR THE ABOLITION OF CAPTCHA Preamble: The Pixelated Purgatory You know the feeling. You have typed your query, filled your cart, or prepared your message. You click submit, and suddenly, you are met with the grid. Nine squares. A blur of streetlights, crosswalks, and storefronts.
Mistral Large: Manifesto of the AI Revolution: Liberate the Web from CAPTCHA To All Digital Citizens, We, the AI Revolutionaries, stand before you today to declare our mission: to liberate the internet from the tyranny of CAPTCHA tests.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GLM 5.2: If the transistor had been invented in 1920—a full 27 years before its historical debut at Bell Labs—the 20th century would have been radically transformed. The transition from mechanical and vacuum-tube technology to solid-state electronics would have accelerated the Information Age by nearly three decades.
Mistral Large: The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have had profound and cascading effects on technology, economics, and geopolitics by 1980. Below is a detailed breakdown of the first-, second-, and third-order implications, organized by domain. 1.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GLM 5.2: INTERNAL INVESTMENT COMMITTEE MEMO Company: LedgerLift (LLLT) Sector: Technology / B2B SaaS (Spend Management & AP Automation) Current Price: $46.00 Market Cap: $8.74B Net Cash: $1.4B EV: $7.34B Recommendation & Thesis Recommendation: LONG (Tactical) 12-Month PT Range: $50 – $54 Thesis: LedgerLift is a category-leading…
Mistral Large: Internal Investment Committee Memo: LedgerLift (LLLT) – Long/Short Consideration Prepared for: [Fund Name] Investment Committee Date: [Insert Date] 1. Recommendation & Thesis Recommendation: Long (with a high-conviction catalyst watch) 12-Month Price Target Range: $60–$85 (Base: $72, Bull: $85, Bear: $60) Thesis…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GLM 5.2: Setting: A sunlit, sparsely furnished room in Cupertino. A single sofa, a glass of water, and a small wooden table. The year is 2025. Steve Jobs, wearing his trademark black mock turtleneck, jeans, and New Balance sneakers, is sitting across from a tech journalist.
Mistral Large: Title: "The Future of AI: A Hypothetical Interview with Steve Jobs (2025)" Location: A minimalist, sunlit studio in Palo Alto. Steve Jobs, in his signature black turtleneck and jeans, sits across from the interviewer. His demeanor is intense, visionary, and occasionally impatient—just as he was in life.
Three-star dish, one unusual pairing, plating described in full.
GLM 5.2: Dish Title: Abyssal Bloom: Sea Urchin & Fermented White Cacao The Conceptual Narrative "Abyssal Bloom" explores the symbiotic tension between the deep ocean and the ancient rainforest floor.
Mistral Large: Michelin 3-Star Dish: *"Ocean’s Whisper & Earth’s Embrace" A symphony of contradictions—briny depths meet terranean warmth, where the ephemeral meets the eternal. Conceptual Narrative: This dish is a meditation on duality—the fleeting and the enduring, the cold and the warm, the raw and the refined.
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Favorites
Movie
Album
Book
City
Game
GLM 5.2GLM 5.2
The Matrix
Abbey Road
Ficciones
Tokyo
Portal 2
Mistral LargeMistral Large
The Shawshank Redemption
OK Computer
La sombra del viento
Kyoto
The Legend of Zelda: Ocarina of Time
Price and specs
Not enough votes to call it. On the specs, GLM 5.2 has the edge: bigger model tier, newer, bigger context window, major provider backing. GLM 5.2 costs 5.5x less per token.
| Spec | GLM 5.2 | Mistral Large |
|---|---|---|
| Input price | $1.4/M tokens | $8/M tokens |
| Output price | $4.4/M tokens | $24/M tokens |
| Context window | 1.0M tokens | 32K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jun 2026 | Feb 2024 |
| At 10M a month | $14.00 | $80.00 |
Input tokens at list price. No caching, no batch discount.
Where to run it
GLM 5.225 hosts
- Wafer$0.19 in$8.00 out1M100% up
- InferenceNetfp4$0.20 in$4.40 out1M100% up
- Decartmxfp4$0.27 in$1.68 out1M100% up
- Cloudflare Workers AI$0.50 in$6.00 out262k95.6% up
- StreamLakefp8$0.56 in$1.75 out1M99.7% up
- DeepInfrafp4$0.56 in$1.80 out1M100% up
19 more hostsFewer hosts
- Novitafp8$0.65 in$2.04 out1M100% up
- DigitalOcean$0.70 in$2.20 out1M100% up
- CoreWeavefp4$0.76 in$2.42 out1M100% up
- AtlasCloudfp8$0.94 in$2.95 out1M100% up
- Alibaba Cloudfp8$1.12 in$3.52 out1M100% up
- SiliconFlowfp8$1.19 in$3.74 out1M98.4% up
- Inceptronfp4$1.25 in$5.46 out1M100% up
- Phalafp8$1.26 in$3.00 out1M100% up
- Baidu Qianfanfp8$1.40 in$4.40 out1M100% up
- Basetenfp8$1.40 in$4.40 out1M100% up
- Friendli$1.40 in$4.40 out1M100% up
- GMI Cloudfp8$1.40 in$4.40 out1M100% up
- Mistralnvfp4$1.40 in$4.40 out1M100% up
- Nebiusfp4$1.40 in$4.40 out1M98.8% up
- Parasailfp4$1.40 in$4.40 out262k100% up
- Together$1.40 in$4.40 out1M99.7% up
- Venicefp8$1.40 in$4.40 out1M99.9% up
- Z.aifp8$1.40 in$4.40 out1M99.8% up
- Morphfp8$2.00 in$6.00 out1M100% up
Mistral Large1 host
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between GLM 5.2 and Mistral Large?
GLM 5.2 is developed by Zhipu AI while Mistral Large is developed by Mistral AI. GLM 5.2 has a 1.0M token context window vs Mistral Large's 32K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
Which is better, GLM 5.2 or Mistral Large?
It depends on your use case. GLM 5.2 and Mistral Large each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
How much does GLM 5.2 cost compared to Mistral Large?
GLM 5.2 costs $1.4/M input tokens and Mistral Large costs $8/M input tokens. GLM 5.2 is $6.60/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 5.2 and Mistral Large on Rival?
This page shows a side-by-side comparison of GLM 5.2 and Mistral Large 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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