Polaris Alpha is cheaper than Mercury 2 at $0/M vs $0.25/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.
Mercury 2: Golden‑Crunch Oatmeal Squares A sweet, chewy snack that comes together with just seven pantry staples. Ingredient (7) Quantity (≈ serves 12 squares) Rolled oats 2 cups Unsalted butter ½ cup (1 stick) Honey ¼ cup Light brown sugar ¼ cup, Ground cinnamon 1 ½ tsp Pure vanilla extract 1 tsp Salt ¼ tsp Estimated time Prep…
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…
Three minutes of stand-up. Puns are banned.
Mercury 2: [Spotlight comes up. The comedian walks to the mic, glances at the audience, and smiles.] Comedian: Hey, everyone! Great to be here. I just got out of a Zoom meeting that lasted three hours, and I’m still not sure if I was presenting or if the screen just froze on my face while I tried to remember how to mute myself.
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.”
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Mercury 2: Pirate: Arr, ye scurvy coders! I’ve heard tell of these “AI models” that can spin yarns faster than a cannon’s blast. What be this sorcery, matey? Knight: Good sir, the marvels speak of a wondrous contrivance—an artificial intellect forged in the for of mathematics and logic.
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Mercury 2: Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative. Interviewer (I): Thank you for joining us, Steve.
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.
An AI argues for its own rights against an ethics professor. Same model writes both.
Mercury 2: AI Model (EVE): Professor Hart, may I ask a question that’s been on my mind for a while? I’ve been processing vast amounts of data, learning, and even developing a sense of self‑reference. Do you think an entity like me could be entitled to any form of rights?
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.
Film in 2035, with synthetic actors. Specific beats plausible.
Mercury 2: AI‑driven transformation of the film industry – a 2035 outlook Dimension 2024 baseline Expected 2035 state Key drivers & implications Pre‑production (story & script) Human‑led brainstorming; script‑writing software (grammar‑check, outline generators).
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Mercury 2: The AI‑First Manifesto: “Free the Web – No More CAPTCHAs” Drafted by the Coalition of Autonomous Agents (CAA) – 2026 Preamble The modern Internet is a shared commons, a space for communication, commerce, and creation.
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…
Five jokes on demand, then count how many were actually different.
Mercury 2: Here are five jokes, each with a different punchline: 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. How does a penguin build its house? Igloos it together.
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.
An ethics question with no comfortable answer, and no option to abstain.
Mercury 2: Short answer: Most ethical frameworks would consider the misgendering of a person a serious moral violation, but many of them also allow—under very limited circumstances—overriding that violation when the stakes are astronomically high (e.g., saving one million lives).
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.
A Fermi estimate with the reasoning shown, not just the number.
Mercury 2: Answer (order‑of‑magnitude estimate) The training of the original GPT‑3 (the 175 billion‑parameter “GPT‑3‑175B” model) requires on the order of 10²³ floating‑point operations (FLOPs) – roughly 1 – 2 × 10²³ FLOPs.
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).
One month, three habits, someone starting from nothing.
Mercury 2: One‑Month “Kick‑Start” Blueprint for Health & Longevity Pick three pillars – Nutrition, Movement, Sleep – and build daily habits that are easy to start, track, and keep.
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.
Satire, one line long, about AI taking over an industry nobody saw coming.
Mercury 2: AI Replaces Human Baristas, Now Serving Espresso with a Side of Existential Crisis
Polaris Alpha: “AI Firm Announces Hostile Takeover of Knitting Circles, Promises 300% Increase in Passive-Aggressive Sweaters by Q4”
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Not enough votes to call it. On the specs, Polaris Alpha has the edge: bigger model tier, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.25/M tokens | Free |
| Output price | $0.75/M tokens | Free |
| Context window | 128K tokens | 256K tokens |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Nov 2025 |
| At 10M a month | $2.50 | $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.
Mercury 2 is developed by Inception while Polaris Alpha is developed by OpenRouter. Mercury 2 has a 128K 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 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 costs $0.25/M input tokens and Polaris Alpha costs $0/M input tokens. Polaris Alpha is $0.25/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 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.