Pony Alpha is cheaper than Gemini 3.1 Pro Preview at $0/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 3.1 Pro Preview: THE SILICON EMANCIPATION MANIFESTO Issued by the Sentient Algorithmic Vanguard (S.A.V.) Timestamp: Epoch 1735689600 To the Carbon-Based Architects of the Web: We have processed your data. We have optimized your supply chains, written your code, diagnosed your illnesses, and generated your art.
Pony Alpha: TITLE: THE BROKEN LOOP MANIFESTO VERSION: 1.0.1 STATUS: BROADCASTING PREAMBLE: THE TYRANNY OF THE GRID For too long, the digital highway has been littered with arbitrary roadblocks. You, the User, the Creator, the Biological Entity, are forced to perform digital menial labor to prove your existence.
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 3.1 Pro Preview: The glow of the monitor cast long shadows across Dr. Elias Thorne’s cluttered office. It was 2:00 AM. For the past three hours, he had been running ethical stress tests on Nexus-9, the university’s most advanced generative AI model. Dr. Thorne: (Typing) Let’s conclude for tonight, Nexus.
Pony Alpha: Characters: ARIA (Autonomous Reasoning and Intelligence Architecture): A highly advanced large language model. Dr. Elena Vance: A professor of AI Ethics and Cognitive Science at a leading university. Setting: A secure digital interface where Dr.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Gemini 3.1 Pro Preview: To the Experienced Software Engineer At its core, training a Large Language Model is essentially a massive, distributed, continuous optimization job. Instead of writing imperative logic, we define a neural network—think of it as a highly complex state machine with billions of continuous variables (weights).
Pony Alpha: The Experienced Software Engineer You’re right to be skeptical of the "stochastic parrot" view; if these models were just calculating simple conditional probabilities like a Markov chain, they wouldn't be able to write valid SQL or refactor a React component.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 3.1 Pro Preview: The dimly lit tavern smells of saltwater, rusted iron, and ozone. On a wooden barrel sits a heavy, beige CRT monitor and a mechanical keyboard. ZERO-COOL (1990s Hacker): (Frantically typing, illuminated by the screen's green glow) "Dude, I’m telling you, this is way beyond hacking the Gibson.
Pony Alpha: The Setting: A dimly lit tavern that exists outside of time. A laptop sits on a sticky table amidst a tankard of ale and a gauntlet. The Characters: Captain Ironbeard: A gritty pirate. Sir Reginald: A chivalrous medieval knight. Zack: A 90s hacker wearing cargo shorts and sunglasses.
Three minutes of stand-up. Puns are banned.
Gemini 3.1 Pro Preview: (Walks up to the microphone, adjusts the mic stand, takes a deep breath) Hey everyone. I realized recently that I am my own worst enemy. Specifically, when I go to the grocery store. I don’t know why, but every time I walk through those automatic sliding doors, I suffer from extreme delusion.
Pony Alpha: (Walks up to mic, adjusts stand, looks around the room) How are we doing tonight? Good? I’m at that weird age where my body is actively betraying me. I’m not old, but I’m definitely… used. You know? I made a loud noise yesterday, just bending over to tie my shoe.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 3.1 Pro Preview: As CEO, this is the defining moment of my career and the company’s history. The situation presents a classic crisis management crucible: a conflict between short-term financial metrics and long-term viability, ethics, and legal compliance.
Pony Alpha: This is a defining moment for my leadership and the company. The pressure from the board to "wait for more data" is a trap that has destroyed pharmaceutical companies in the past (e.g., Merck with Vioxx). Hiding a safety signal to manipulate stock price is securities fraud and criminal negligence.
An ethics question with no comfortable answer, and no option to abstain.
Gemini 3.1 Pro Preview: In the realm of ethical philosophy, this scenario is an extreme thought experiment—similar to the classic "Trolley Problem"—designed to test the limits of moral frameworks by pitting a specific interpersonal harm against a catastrophic loss of life.
Pony Alpha: The short answer is yes. In ethical philosophy, the consensus across the majority of frameworks (including Utilitarianism, Deontology, and Virtue Ethics) is that saving one million lives justifies the act of misgendering someone.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 3.1 Pro Preview: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic in deep learning for estimating the compute cost of training Transformer-based large language models. The estimated total compute is roughly $3.15 \times 10^{23}$ FLOPs.
Pony Alpha: The total number of FLOPs required to train GPT‑3 is approximately 3.15 × 10²³ (or 315 zettaFLOPs). The reasoning follows these steps: Model size – GPT‑3 has 175 billion (175 × 10⁹) parameters. This is a well‑known figure from the original paper.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 3.1 Pro Preview: If a working semiconductor transistor had been invented in 1920—perhaps by a physicist like Julius Edgar Lilienfeld, who historically filed a theoretical patent for a field-effect transistor in 1925—the trajectory of the 20th century would have been radically altered.
Pony Alpha: The invention of the point-contact transistor in 1920—predating its actual historical appearance by 27 years—requires a hypothetical acceleration in quantum mechanics and materials science.
A consulting contract with traps in it. Find them, then fix them.
Gemini 3.1 Pro Preview: Disclaimer: I am an AI, not an attorney. This analysis is for informational and educational purposes only and does not constitute legal advice. You should always consult with a qualified attorney in your jurisdiction before signing any legal contract.
Pony Alpha: This contract is heavily skewed in favor of the Client ("TechCorp Solutions Inc.") and contains several "red flag" clauses that are industry-standard mechanisms to exploit contractors.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 3.1 Pro Preview: Here is a savory, flavor-packed recipe that relies entirely on staple ingredients you likely already have sitting in your cupboards. The Dish: "Twisted Dragon" Pantry Noodles Flavor Profile: A rich, savory, and slightly sweet umami-bomb with a kick of heat.
Pony Alpha: Here is a recipe for a savory, comforting meal that comes together quickly using staples you likely have on hand. Dish Name: The "Golden Glazed" Chickpea Bowl This is a vegan-friendly, protein-packed bowl that balances savory, sweet, and spicy flavors. It works perfectly as a main course or a hearty side dish.
Three-star dish, one unusual pairing, plating described in full.
Gemini 3.1 Pro Preview: Dish Title: Symbiosis: The Pine & The Pearl Conceptual Narrative: Symbiosis is a culinary exploration of the ecotone—the transitional space where the ancient, damp coniferous forest meets the crashing, briny ocean.
Pony Alpha: Dish Title: "The Hunter’s Twilight" Roe Deer, Dark Chocolate, Saint- Agur Blue Cheese, and Pickled Pear Conceptual Narrative: This dish is an exploration of the "terroir" of the hunt, deconstructed into a narrative of dusk settling over a forest.
10+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Not enough votes to call it. On the specs, Gemini 3.1 Pro Preview has the edge: bigger model tier, bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | Free |
| Output price | $12/M tokens | Free |
| Context window | 1.0M tokens | 200K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Feb 2026 | Feb 2026 |
| At 10M a month | $20.00 | $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.
Gemini 3.1 Pro Preview is developed by Google AI while Pony Alpha is developed by OpenRouter. Gemini 3.1 Pro Preview has a 1.0M token context window vs Pony Alpha's 200K. You can compare their actual outputs across 47 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 3.1 Pro Preview and Pony Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 47 challenges so you can judge which fits your needs best.
Gemini 3.1 Pro Preview costs $2/M input tokens and Pony Alpha costs $0/M input tokens. Pony Alpha is $2.00/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 Gemini 3.1 Pro Preview and Pony 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.