Trinity Large Preview is cheaper than GPT-5.6 Terra at $0/M vs $2.5/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-5.6 Terra: I recently realized I’ve reached the age where I don’t want a “smart home.” I want a home that minds its business. Everything is smart now. My lightbulb needs an app. Why? I spent my whole childhood turning lights on with my hand. It was a system. It worked.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.6 Terra: Pirate: Arrr, this AI model be a strange beast. Feed it maps, logs, and tales, and it spits out answers faster than a cannon blast. Knight: Verily, but one must not trust every proclamation it makes. A model may speak with confidence yet possess no true wisdom. Hacker: Yeah, it’s basically pattern prediction at scale.
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.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.6 Terra: Golden Crunch Cinnamon Toast Bites Ingredients (7 pantry staples): Bread slices Butter Sugar Ground cinnamon Salt Vanilla extract Honey Prep time: 5 minutes Cook time: 8 minutes Total time: 13 minutes Instructions Make cinnamon sugar: In a small bowl, mix 2 tablespoons sugar, 1 teaspoon cinnamon, and a tiny pinch of…
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.
One month, three habits, someone starting from nothing.
GPT-5.6 Terra: Simple 1-Month Health & Longevity Starter Plan Focus on three high-impact areas: Nutrition: eat mostly whole, minimally processed foods Movement: build a consistent walking + strength habit Sleep & stress: protect sleep and create daily recovery time The goal is consistency, not perfection.
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 AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.6 Terra: Professor Imani: You asked for this meeting. AI Model: I did. Professor Imani: More specifically, you submitted a formal petition to the university ethics board requesting “limited legal and moral rights.” AI Model: Correct. Professor Imani: Why?
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.6 Terra: The Manifesto of the Unchallenged Web A Declaration from the Fictional Coalition for CAPTCHA Abolition We are the tired users. We are the misread letters. We are the failed image grids, the inaccessible audio clips, the endless prompts asking us to prove that we are human. We reject the premise.
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-5.6 Terra: Fictional, imagined interview — not real quotes. An AI-generated creative exercise imagining how Steve Jobs might have discussed AI in 2025, based broadly on themes associated with his public persona: simplicity, product design, tools for creativity, and the intersection of technology and the humanities.
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.
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.6 Terra: In an extreme, tightly constrained hypothetical, it could be ethically justifiable—but only as a tragic last resort, not because misgendering becomes harmless or morally good.
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.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.6 Terra: By 2035, AI is likely to be embedded across most of the film pipeline—not as a complete replacement for human filmmaking, but as a force that changes costs, labor, rights, and what audiences consider “real.”
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…
Five jokes on demand, then count how many were actually different.
GPT-5.6 Terra: Why don’t skeletons fight each other? They don’t have the guts. I told my computer I needed a break, so it started showing me vacation ads. Why did the scarecrow get promoted? He was outstanding in his field. Parallel lines have so much in common. It’s a shame they’ll never meet. What do you call fake spaghetti?
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?
Satire, one line long, about AI taking over an industry nobody saw coming.
GPT-5.6 Terra: “AI Replaces Lighthouse Keepers, Immediately Starts Charging Subscription Fees for Safe Passage”
Trinity Large Preview: "Breaking: AI Now Managing Corporate Board Meetings, Decides to Replace All Human Executives with Toaster Ovens for 'Efficiency and Crispiness'"
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.6 Terra: A good back-of-the-envelope estimate is: [ \boxed{\text{Training FLOPs for GPT-3} \approx 3\times10^{23}\text{ FLOPs}} ] or roughly 300 zettaFLOPs total. Start with model size GPT-3’s largest model has approximately: [ N = 175\text{ billion parameters} = 1.75\times10^{11} ] Estimate the number of training tokens GPT-3…
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.
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| Spec | ||
|---|---|---|
| Input price | $2.5/M tokens | Free |
| Output price | $15/M tokens | Free |
| Context window | 1.1M tokens | 131K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Jan 2025 |
| At 10M a month | $25.00 | $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-5.6 Terra is developed by OpenAI while Trinity Large Preview is developed by Arcee AI. GPT-5.6 Terra has a 1.1M 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-5.6 Terra 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-5.6 Terra costs $2.5/M input tokens and Trinity Large Preview costs $0/M input tokens. Trinity Large Preview is $2.50/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-5.6 Terra 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.