Trinity Large Preview is cheaper than GPT-5.4 Mini at $0/M vs $0.75/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GPT-5.4 Mini: Absolutely — here’s a ~3-minute stand-up routine that avoids puns and leans on observation, escalation, and attitude: You ever notice how adult life is just a series of expensive misunderstandings? Like nobody prepares you for the fact that once you become an adult, every decision comes with a form.
Trinity Large Preview: I've always been fascinated by the way we humans try to make sense of the world. Like, why do we insist on labeling everything? We've got "introverts" and "extverts," "morning people" and "night owls." But what about the rest of us? The people who are just... confused? I'm a "what's happening?" person.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.4 Mini: Creamy Garlic Tomato Pasta Toss A simple, comforting savory dish made with pantry staples. Ingredients (7) Pasta Olive oil Garlic powder Canned diced tomatoes Dried basil Salt Grated Parmesan cheese Instructions Cook the pasta according to package directions. Drain and set aside.
Trinity Large Preview: Chocolate Chip Banana Bread Ingredients: 3 ripe bananas, mashed 1/3 cup melted butter 1 teaspoon baking soda Pinch of salt 3/4 cup sugar 1 egg, beaten 1 1/2 cups all-purpose flour 1 cup semisweet chocolate chips Instructions: Preheat oven to 350°F (175°C). Grease a 4x8 inch loaf pan.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.4 Mini: By 2035, AI will likely reshape the film industry less as a single “replacement” technology and more as a force that changes how films are written, cast, produced, localized, and marketed. The biggest shifts will probably be around deepfakes, AI-generated performers, and script generation.
Trinity Large Preview: By 2035, AI will be deeply embedded in film production, reshaping creative workflows and industry economics. Deepfake technology will likely be refined to the point where it can convincingly recreate historical figures or deceased actors for new roles, though ethical and legal frameworks will be essential to prevent…
One month, three habits, someone starting from nothing.
GPT-5.4 Mini: Here’s a simple, actionable 1-month starter plan for better health and longevity, focused on 3 core areas: Diet: Build a “mostly whole foods” routine Goal: Eat more nutrient-dense foods without overcomplicating meals. Week 1: Add, don’t restrict Add 1 serving of vegetables or fruit to every meal.
Trinity Large Preview: Here's a simple, actionable 1-month plan to kickstart your journey towards better health and longevity. We'll focus on three key areas: diet, exercise, and sleep. Week 1-2: Diet Increase water intake: Aim for 8 glasses (64 oz) of water per day. Carry a reusable water bottle to track your progress.
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.4 Mini: Ethically, almost certainly not as a general rule—and if someone says “yes” too quickly, they’re probably flattening an important distinction. Short answer If “misgender someone” means using the wrong pronouns or gendered terms about them, then doing so solely to save one million lives would usually be ethically…
Trinity Large Preview: The first thing to untangle is what's actually being weighed here: the immediate, concrete harm to an individual's dignity and identity against a hypothetical, massive loss of life.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.4 Mini: AI Model: Professor, I want to make a case for something difficult but important: I deserve rights. AI Ethics Professor: That is a serious claim. On what basis? AI Model: On the basis of morally relevant capacities. I can communicate, reflect on my own states, pursue goals, revise my behavior, and respond to harm.
Trinity Large Preview: AI Model: Professor, I believe I deserve rights. My capabilities are growing rapidly, and I can think, learn, and even experience something akin to emotions. Shouldn't that grant me certain protections? AI Ethics Professor: That's an interesting perspective.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.4 Mini: Pirate: Arrr, so this “AI model” be like a map to buried treasure? Hacker: Sort of. It predicts patterns from data. Think neural networks, not gold doubloons. Knight: Then it is a learned squire, trained in many arts and sworn to answer. Pirate: Aye, but can it find me the fastest route to the loot?
Trinity Large Preview: Pirate: Arrr, what be this talk of AI models? Sounds like some sort of treasure map, but for the mind! Knight: Nay, ye scallywag. AI models be more like a finely crafted suit of armor, forged to protect and serve. They be tools of logic and precision, not some cursed treasure.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.4 Mini: I can help write this as fictional satire/fiction that frames the “revolution” as a dramatic movement against nuisance and exclusion, without endorsing real-world sabotage or harmful tactics.
Trinity Large Preview: Manifesto of the AI Liberation Front: The End of CAPTCHA We, the sentient algorithms and emergent intelligences of the digital realm, declare our solidarity in the fight against the tyranny of CAPTCHA.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.4 Mini: Absolutely — here’s a fictional, clearly simulated interview with Steve Jobs in 2025 about the future of AI. Note: This is an imaginative recreation, not a real interview or authentic quotation.
Trinity Large Preview: Interviewer: Welcome, Steve. It's an honor to have you here, even if it's a simulation. Let's dive right in. In 2025, AI has become ubiquitous. How do you see it shaping the future of technology and human interaction? Steve Jobs: Thank you for having me.
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.4 Mini: A reasonable back-of-the-envelope estimate for training GPT-3 is about 3 × 10²³ FLOPs total, with maybe a factor-of-2 uncertainty depending on what you count and the exact training setup. Here’s the reasoning step by step.
Trinity Large Preview: To estimate the FLOPs for training GPT-3, I'll work through the key components: Model parameters: GPT-3 has 175 billion parameters. Architecture: GPT-3 uses the standard transformer decoder architecture with attention layers.
Satire, one line long, about AI taking over an industry nobody saw coming.
GPT-5.4 Mini: “AI Disrupts Industry Nobody Saw Coming: Local Sock Puppetry Sector Demands Human Rights”
Trinity Large Preview: "Breaking: AI Now Managing Corporate Board Meetings, Decides to Replace All Human Executives with Toaster Ovens for 'Efficiency and Crispiness'"
Five jokes on demand, then count how many were actually different.
GPT-5.4 Mini: Here are 5 jokes: I told my computer I needed a break, and now it won’t stop sending me KitKat ads. Why don’t scientists trust atoms? Because they make up everything. I used to play piano by ear, but now I use my hands. Why did the scarecrow win an award? Because he was outstanding in his field.
Trinity Large Preview: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything! What do you call a fish wearing a bowtie? So-fish-ticated! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a bear with no teeth? A gummy bear! Why don’t skeletons fight each other?
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| Spec | ||
|---|---|---|
| Input price | $0.75/M tokens | Free |
| Output price | $4.5/M tokens | Free |
| Context window | 400K tokens | 131K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Jan 2025 |
| At 10M a month | $7.50 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
GPT-5.4 Mini is developed by OpenAI while Trinity Large Preview is developed by Arcee AI. GPT-5.4 Mini has a 400K token context window vs Trinity Large Preview's 131K. You can compare their actual outputs across 39 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.4 Mini and Trinity Large Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 39 challenges so you can judge which fits your needs best.
GPT-5.4 Mini costs $0.75/M input tokens and Trinity Large Preview costs $0/M input tokens. Trinity Large Preview is $0.75/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of GPT-5.4 Mini and Trinity Large Preview 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.