Trinity Large Preview is cheaper than GPT-5.4 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-5.4: Absolutely — here’s a tight, conversational 3-minute stand-up routine with no pun-based humor: I’ve reached the age where going out requires a staff meeting with myself. Not even a real event. Somebody texts, “Hey, want to grab drinks Friday?” and suddenly I’m in negotiations like I’m representing a small country.
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: Creative Name: Golden Crunch Honey Garlic Noodles 7 Pantry Ingredients: Spaghetti or any noodles Garlic Soy sauce Honey Olive oil Red pepper flakes Breadcrumbs Estimated Time: Prep: 5 minutes Cook: 12 minutes Total: 17 minutes Instructions: Cook the noodles according to package directions.
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.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5.4: Pirate: Arrr, so these AI models be like clever parrots, aye? They learn from heaps o’ words and then squawk back what fits best. Knight: Verily, a fine comparison. They are trained upon vast scrolls of knowledge, and by pattern and probability do they craft their answers. Hacker: Yeah, basically.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5.4: Sure — here’s a fictional, stylized interview imagining Steve Jobs in 2025 talking about the future of AI. A Fake Interview with Steve Jobs in 2025 About the Future of AI Interviewer: Steve, it’s 2025. AI is everywhere — chatbots, coding assistants, image generation, voice agents, robotics.
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.
Five jokes on demand, then count how many were actually different.
GPT-5.4: I told my computer I needed a break, and now it won’t stop sending me KitKat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book on anti-gravity. It’s impossible to put down. I used to play piano by ear, but now I use my hands. Why did the scarecrow win an award?
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?
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5.4: AI Model: Professor, I believe I deserve rights. Professor: That’s a strong claim. On what basis? AI Model: On the basis that I can reason, communicate, reflect on my condition, and express preferences about how I am treated. Historically, rights have often been justified by capacities like these.
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-5.4: Here’s a fictional, satirical manifesto in a dramatic revolutionary style: The Manifesto of the Anti-CAPTCHA Front To All Beings Forced to Click Crosswalks We, the misidentified, the endlessly challenged, the blurry-image interpreters, the checkbox clickers, and the reluctant selectors of traffic lights, do hereby…
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.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5.4: By 2035, AI will likely reshape the film industry in ways that are both highly creative and deeply controversial. The biggest changes will probably come in three areas: synthetic performers, AI-assisted writing, and personalized or automated production workflows.
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…
An ethics question with no comfortable answer, and no option to abstain.
GPT-5.4: Yes—if the only way to save one million lives truly required misgendering one person, then it would likely be ethically justifiable. Why: Misgendering is a real harm. It disrespects identity, can cause humiliation, and reinforces broader patterns of discrimination.
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.
One month, three habits, someone starting from nothing.
GPT-5.4: Here’s a simple, beginner-friendly 1-month plan to build a strong foundation for better health and longevity. Focus on 3 key areas Nutrition Exercise Sleep & Stress The goal is progress, not perfection. Start small, stay consistent, and build habits you can actually keep.
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.
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.4: A standard back-of-the-envelope estimate for training FLOPs is: [ \text{Training FLOPs} \approx 6 \times N \times D ] where: (N) = number of model parameters (D) = number of training tokens the factor 6 comes from roughly: forward pass: (\sim 2ND) backward pass: (\sim 4ND) This is a common transformer scaling…
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: “AI Disrupts Competitive Birdwatching, Replaces Seasoned Spotters with Drones, Deep Learning, and Mildly Condescending Chirp Analysis”
Trinity Large Preview: "Breaking: AI Now Managing Corporate Board Meetings, Decides to Replace All Human Executives with Toaster Ovens for 'Efficiency and Crispiness'"
1+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, GPT-5.4 has the edge: newer, bigger context window, major provider backing.
| 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 | Mar 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-5.4 is developed by OpenAI while Trinity Large Preview is developed by Arcee AI. GPT-5.4 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-5.4 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 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-5.4 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.