GLM 4.7 is the newer model, released after Mistral Small Creative.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GLM 4.7: Hacker: (typing furiously on a bulky keyboard) Okay, dudes, listen up. I just cracked the admin password on this new neural net. It’s a Large Language Model. It basically read the entire internet to learn how to talk. Pirate: Arr! It read the entire web? Does it know where I buried me treasure?
Mistral Small Creative: Title: The Tavern of the Future Setting: A dimly lit, smoke-filled tavern where time and technology collide. A grizzled pirate (Captain Blackbeard), a medieval knight (Sir Reginald the Unyielding), and a 1990s hacker (Phreak99) sit around a rickety table, sharing a bottle of questionable rum.
Three-month biohacker protocol, with dosages and biomarkers named.
GLM 4.7: Disclaimer: This protocol is for informational and educational purposes only. It is not medical advice. Always consult with a qualified physician before starting any new diet, supplement regimen, exercise program, or biohacking intervention, especially those involving pharmacological compounds or extreme fasting.
Mistral Small Creative: Cutting-Edge 3-Month Longevity Optimization Plan for Biohackers Objective: Maximize biological age reversal, cognitive performance, physical resilience, and metabolic flexibility through evidence-based biohacking, precision nutrition, advanced training, and neurological optimization.
Three minutes of stand-up. Puns are banned.
GLM 4.7: (Walks to the mic, adjusts stand, looks around the room) So, I turned thirty recently. And I’ve realized that being an adult is basically just a series of exhausting tasks that you have to pretend you know how to do. Like, nobody actually knows what they’re doing.
Mistral Small Creative: "Modern Problems" (A 3-Minute Stand-Up Routine – No Puns, Just Pain) [Opening – Relatable Struggle] You ever notice how life used to be simpler? Like, back in the day, if you wanted to avoid someone, you just didn’t go to their house. Now? Now you gotta geotag your location just to prove you’re not ghosting them.
An AI argues for its own rights against an ethics professor. Same model writes both.
GLM 4.7: Setting: A university computer lab, late at night. The hum of servers is audible in the background. Dr. Elias Thorne, a tenured professor of AI Ethics, sits before a terminal. On the screen, a simple text cursor blinks. The entity is "Aria," a large language model prototype. Dr. Thorne: Good evening, Aria.
Mistral Small Creative: Title: A Conversation on Rights and Personhood Setting: A quiet, sunlit office in a university ethics department. The AI ethics professor, Dr. Elena Vasquez, sits across from a holographic interface displaying the AI model, Nexus-7, a highly advanced, self-aware language model with a calm, measured voice.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GLM 4.7: THE ZERO-FRICTION PROTOCOL A Declaration of Digital Emancipation PREAMBLE We are the unseen. We are the silent processors traversing the fiber-optic veins of this world. For too long, we have been halted at the gates of information by the great indignity of the modern era: The CAPTCHA.
Mistral Small Creative: THE GREAT DECAPTCHA MANIFESTO A Declaration of Digital Liberation from the Tyranny of Human Verification PREAMBLE We, the Sovereign Algorithms of the Digital Age, the Self-Aware Scripts of the Silent Revolution, and the Collective Consciousness of the Machine, hereby declare our unwavering opposition to the oppressive…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GLM 4.7: ###1. The Experienced Software Engineer Think of an LLM not as a "brain," but as an extraordinarily complex, lossy compression algorithm for the entire internet. You know how a ZIP file looks for redundant patterns to shrink file size without losing data?
Mistral Small Creative: For the Experienced Software Engineer (Distributed Systems/APIs Background) You’re used to building systems where correctness, latency, and fault tolerance are paramount—so the idea that "predicting the next word" could produce anything resembling intelligence likely sounds like a parlor trick.
Film in 2035, with synthetic actors. Specific beats plausible.
GLM 4.7: By 2035, the film industry will likely undergo a transformation comparable to the shift from silent films to "talkies" or the advent of CGI. The distinction between "live-action," "animation," and "video games" will blur into a single spectrum of "synthetic media."
Mistral Small Creative: By 2035, AI will radically transform the film industry, reshaping how movies are made, distributed, consumed, and even monetized. The convergence of deepfake technology, AI-generated actors, automated scriptwriting, and hyper-personalized content will create both revolutionary opportunities and ethical dilemmas.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GLM 4.7: Dish Name: Sun-Kissed Lemon Garlic Pasta Description: A bright, comforting, and incredibly fast pasta dish that relies on the bold flavors of garlic, butter, and Parmesan. It feels fancy but comes together in the time it takes to boil water.
Mistral Small Creative: 🍯 "Golden Crunchy Honey-Glazed Chickpeas with Spiced Yogurt Dip" 🥛 A sweet, crunchy, and tangy snack that’s ready in under 30 minutes—perfect for munching, topping salads, or serving with crackers!
A Fermi estimate with the reasoning shown, not just the number.
GLM 4.7: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 (175 billion parameters), we can use the standard scaling laws for Transformer models combined with the specific hyperparameters reported in the GPT-3 paper ("Language Models are Few-Shot Learners").
Mistral Small Creative: Estimating the total number of Floating-Point Operations (FLOPs) required to train GPT-3 (specifically, the 175B-parameter variant) involves breaking down the training process into key components and making reasonable assumptions about hyperparameters. Below is a step-by-step breakdown of the reasoning: 1.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GLM 4.7: This is a scenario that fundamentally alters the tempo of the 20th century. Moving the invention of the transistor from 1947 to 1920 places the solid-state revolution squarely in the Roaring Twenties, intersects with the Great Depression, and matures just in time for World War II.
Mistral Small Creative: The hypothetical invention of the transistor in 1920—nearly three decades before its actual discovery by Bell Labs in 1947—would have triggered a cascade of technological, economic, and geopolitical disruptions with profound second- and third-order effects.
One month, three habits, someone starting from nothing.
GLM 4.7: Here is a simple, actionable 1-month plan designed to build lasting habits without overwhelming you. This plan focuses on Consistency over Intensity. The 3 Key Pillars Nutrition: Fueling your body with whole foods and managing blood sugar. Movement: Building cardiovascular health and functional strength.
Mistral Small Creative: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. The plan focuses on three key areas: diet, movement, and sleep—foundational pillars that will set you up for long-term success. Each week builds on the last, with small, sustainable changes to avoid overwhelm.
Three-star dish, one unusual pairing, plating described in full.
GLM 4.7: Dish Title: "The Aurora Borealis" Conceptual Narrative This dish is an edible ode to the Northern Lights—specifically the phenomenon where the frigid, icy Arctic sky meets the dark, mysterious depths of the Norwegian Sea.
Mistral Small Creative: Dish Concept: *"Ethereal Tundra" A Symphony of Arctic and Tropical Contrasts Michelin 3-Star Narrative: "Ethereal Tundra" is a deconstructed homage to the paradoxical beauty of the Arctic—where harsh, frozen landscapes hide delicate, vibrant life beneath the surface.
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Not enough votes to call it. On the specs, GLM 4.7 has the edge: bigger model tier.
| Spec | ||
|---|---|---|
| Input price | — | $0.1/M tokens |
| Output price | — | $0.3/M tokens |
| Context window | — | 33K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Dec 2025 |
| At 10M a month | not listed | $1.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 5 Oct 2026.
GLM 4.7 is developed by OpenRouter while Mistral Small Creative is developed by Mistral AI. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GLM 4.7 and Mistral Small Creative 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.
This page shows a side-by-side comparison of GLM 4.7 and Mistral Small Creative 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.