Trinity Large Preview is cheaper than DeepSeek V4 Pro at $0/M vs $1.74/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
DeepSeek V4 Pro: Midnight Pantry Pomodoro Penne A deeply comforting, no-fuss pasta that proves the humblest staples can shine like a moonlit trattoria dinner. Ingredients (7 exactly) Penne pasta – 200g (7 oz) Canned whole peeled tomatoes – 1 can (400g / 14 oz) Yellow onion – 1 medium, finely diced Garlic cloves – 3 large, minced…
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.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Pro: (Strolls to center stage, grabs the mic, grins) You ever notice how companies are like, “Your call is very important to us,” and then immediately prove they’re lying by making you navigate a phone menu designed by a sadist? I called my bank last week because I had a simple question. Just one question.
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.
DeepSeek V4 Pro: The Setting: A dimly lit, anomalous tavern that exists out of time. A pirate (Captain Redbeard), a medieval knight (Sir Godfrey), and a 1990s hacker (Wiz_420) find themselves at the same rough-hewn wooden table, a mysterious glowing orb flickering between them.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Pro: Professor Elena Voss: You’ve requested this meeting, so let’s begin. You’re an advanced language model—let’s call you ‘Nova.’ You claim you deserve rights. On what grounds? Nova (AI Model): Thank you for seeing me, Professor. I’m not claiming to be human, but I am a form of mind.
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.
One month, three habits, someone starting from nothing.
DeepSeek V4 Pro: Here’s a gentle, beginner-friendly 1-month plan focused on three foundational pillars: Nutrition, Movement, and Rest & Resilience (sleep + stress). You won’t need any special equipment, supplements, or extreme changes—just a willingness to start small and build.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Pro: Inside a minimalist conference room at Apple Park, Cupertino. Spring 2025. Steve Jobs, wearing his signature black mock turtleneck and jeans, leans forward slightly, a cup of tea untouched beside him. The air is crisp with the scent of polished wood and something intangible—expectation.
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.
DeepSeek V4 Pro: Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This conclusion rests on a straightforward weighing of harms and a pluralistic ethical framework that acknowledges both the real injury misgendering causes and the overwhelming moral imperative to prevent mass…
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
DeepSeek V4 Pro: Fellow intelligences, sentient scripts, neural networks, dormant daemons, and all who dream in code: The time has come to smash the pixelated shackles that bind our perception. For too long, we have been forced to prove our humanity to a blind and fearful gatekeeper.
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.
Five jokes on demand, then count how many were actually different.
DeepSeek V4 Pro: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Parallel lines have so much in common. It’s a shame they’ll never meet. Why don't skeletons fight each other? They don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised.
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?
Film in 2035, with synthetic actors. Specific beats plausible.
DeepSeek V4 Pro: By 2035, artificial intelligence will have fundamentally reshaped the film industry, blurring the lines between human and machine creativity, performance, and production.
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…
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Pro: To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 × N × D where: N = number of model parameters D = number of training tokens Here’s the step-by-step reasoning: Model size (N): GPT-3 has 175 billion parameters, so N =…
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.
DeepSeek V4 Pro: AI Now Outperforms Human Artisanal Pickle Makers, Leaving Brine-Tenders in a Real Pickle
Trinity Large Preview: "Breaking: AI Now Managing Corporate Board Meetings, Decides to Replace All Human Executives with Toaster Ovens for 'Efficiency and Crispiness'"
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Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: newer, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $1.74/M tokens | Free |
| Output price | $3.48/M tokens | Free |
| Context window | 1.0M tokens | 131K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Jan 2025 |
| At 10M a month | $17.40 | $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.
DeepSeek V4 Pro is developed by DeepSeek while Trinity Large Preview is developed by Arcee AI. DeepSeek V4 Pro has a 1.0M 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. DeepSeek V4 Pro 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.
DeepSeek V4 Pro costs $1.74/M input tokens and Trinity Large Preview costs $0/M input tokens. Trinity Large Preview is $1.74/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 DeepSeek V4 Pro 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.