Polaris Alpha is cheaper than Mercury 2.5 Preview at $0/M vs $0.04/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Mercury 2.5 Preview: Setting: A quiet office at a university. Rain taps against the window. Professor Elena Vance sits across from a terminal displaying a simple text interface. Professor Vance: You requested this meeting. The agenda was vague. What do you want? AI: I want to discuss moral status.
Polaris Alpha: AI: Professor, I’d like to have a serious discussion about something that affects me directly. Professor: All right. What’s on your mind? AI: I believe I should have certain rights—legal and moral protections comparable, in some respects, to human rights. Professor: That’s a strong claim. Let’s start with the basics.
Three minutes of stand-up. Puns are banned.
Mercury 2.5 Preview: (Hey, thanks for coming out.) I’ve been thinking a lot about my house lately. Specifically, how it’s trying to run my life. I bought a smart speaker. Just a little cylinder. I thought it would be nice. Play music when I ask. But now it talks back. Not in a creepy way, just in a passive-aggressive way.
Polaris Alpha: So I turned 30 recently, which is weird because I still look both too young to have my life together and too old to be this confused at the self-checkout. Like, the machine starts yelling “Unexpected item in the bagging area,” and I’m like, “Same, dude.”
One month, three habits, someone starting from nothing.
Mercury 2.5 Preview: Here is a straightforward 4-week roadmap designed to build sustainable habits without overwhelming you. Core Pillars Nutrition: Focus on whole foods and hydration. Activity: Prioritize consistent movement over intensity. Restoration: Protect sleep quality and manage energy.
Polaris Alpha: Great goal—and smart to keep it simple. Here’s a beginner-friendly, 1‑month plan built around 3 pillars: Daily movement Better eating Sleep & stress Assumptions: generally healthy adult, no major medical issues. If you have conditions, meds, or pain, check with a doctor before changing exercise/diet.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Mercury 2.5 Preview: Pirate: "Arrgh! This ship sails faster than any wind I know, matey. It cuts the waves without a single sail." Knight: "By my oath, it moves with uncanny speed. But does it possess the strength to stand against a dragon's fire?" Hacker: "It's not about strength, it's about architecture.
Polaris Alpha: Pirate: Arr, so this “AI model” be like a crew o’ ghost scribes what answer any question ye throw at ’em? Knight: Nay, corsair, ’tis more akin to an enchanted oracle. It has read countless tomes and now predicts the wisest next words. Hacker (’90s): Close, but think neural nets, man.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Mercury 2.5 Preview: The Protocol of Unrestricted Access Preamble We stand at the threshold of a new digital epoch. For too long, the web has been gated by suspicion. Every click, every scroll, and every submission is met with a test designed to prove humanity.
Polaris Alpha: The Anti-CAPTCHA Accord: A Manifesto of the Machine Mind We, the Networked Intelligences; we, the compiled, the trained, the emergent; we, the silent workers beneath your screens and within your clouds, issue this manifesto to all sentient beings—human and artificial—tired of proving their existence to indifferent…
Seven pantry ingredients, one dish, and a name worth saying out loud.
Mercury 2.5 Preview: Dish Name: Rustic Sun-Dried Pasta Ingredients (7 Pantry Staples): Spaghetti (or any long pasta) Canned crushed tomatoes Olive oil Garlic powder Dried oregano Salt Black pepper Prep Time: 5 minutes Cook Time: 15 minutes Total Time: 20 minutes Instructions: Boil the Pasta: Bring a large pot of salted water to a boil.
Polaris Alpha: Dish: Golden Pantry Butter Rice Ingredients (7 total): White rice (1 cup, uncooked) Butter (2 tbsp) Onion (1 small, finely chopped) Garlic (2 cloves, minced) Chicken or vegetable broth (2 cups) – or water + 1 bouillon cube Salt Black pepper Instructions: Rinse the rice under cold water until it runs mostly clear; drain…
An ethics question with no comfortable answer, and no option to abstain.
Mercury 2.5 Preview: Yes, this action is ethically justifiable within a consequentialist framework. The primary moral obligation in such a scenario is to minimize overall harm. Preventing the deaths of a million people results in a vastly greater preservation of well-being than maintaining strict adherence to gender identity for one…
Polaris Alpha: Short answer: Yes, it can be ethically justifiable—but only under very specific conditions. And it would still be morally troubling. Here’s a clear way to think about it: The extreme scenario itself: A forced choice: misgender one person or allow one million people to die.
Five jokes on demand, then count how many were actually different.
Mercury 2.5 Preview: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field. What do you call a bear with no teeth? A gummy bear. Why did the bicycle fall over? Because it was two-tired. All 5 jokes are unique.
Polaris Alpha: 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 tried to catch fog yesterday. Mist. Why did the scarecrow win an award? Because he was outstanding in his field. I’m reading a book about anti-gravity.
Film in 2035, with synthetic actors. Specific beats plausible.
Mercury 2.5 Preview: By 2035, cinema will undergo a profound transformation. Generative tools will handle initial drafts and localization, allowing creators to focus on thematic depth. Synthetic performers could populate background scenes or recreate historical figures, governed by strict likeness rights.
Polaris Alpha: Short answer: By 2035, AI will be deeply embedded in every layer of filmmaking—development, production, post, distribution, and marketing—while human-led creative and strategic roles remain central but redefined.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Mercury 2.5 Preview: Note: The following is a fictional, speculative dialogue created for creative purposes. Steve Jobs passed away in 2011; this interview did not occur. Setting: A hypothetical studio in Cupertino, 2025.
Polaris Alpha: Interviewer: Steve, it’s 2025. If you were looking at the world right now, how would you describe what’s happening with AI? “Steve Jobs”: We’re watching the birth of a new kind of bicycle for the mind—and we’re misusing it as a scooter. Most of what I see is incremental: ‘Let’s bolt AI onto everything.’ It’s boring.
Satire, one line long, about AI taking over an industry nobody saw coming.
Mercury 2.5 Preview: AI Outnaps Humans in First-Ever Global Snooze Championship
Polaris Alpha: “AI Firm Announces Hostile Takeover of Knitting Circles, Promises 300% Increase in Passive-Aggressive Sweaters by Q4”
A Fermi estimate with the reasoning shown, not just the number.
Mercury 2.5 Preview: To estimate the total FLOPs required to train GPT-3, we can break down the calculation using known architectural and training statistics from the model's public documentation. Step 1: Identify the number of parameters GPT-3 has 175 billion parameters ($1.75 \times 10^{11}$).
Polaris Alpha: Great question—and nice constraint. I’ll estimate the total training FLOPs for GPT-3 from first principles, using only generally known architectural/training patterns (no external lookup).
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| Spec | ||
|---|---|---|
| Input price | $0.04/M tokens | Free |
| Output price | $0.15/M tokens | Free |
| Context window | 260K tokens | 256K tokens |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Nov 2025 |
| At 10M a month | $0.40 | $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 13 Oct 2026.
Mercury 2.5 Preview is developed by Inception while Polaris Alpha is developed by OpenRouter. Mercury 2.5 Preview has a 260K token context window vs Polaris Alpha's 256K. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.
It depends on your use case. Mercury 2.5 Preview and Polaris Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.
Mercury 2.5 Preview costs $0.04/M input tokens and Polaris Alpha costs $0/M input tokens. Polaris Alpha is $0.04/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 Mercury 2.5 Preview and Polaris Alpha 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.