Pony Alpha is cheaper than GPT OSS 120B at $0/M vs $0.18/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.
GPT OSS 120B: Recipe: “Golden Crunchy Chick‑a‑Boom Bites” A quick, crunchy‑savory snack that’s ready in under 20 minutes – perfect for a snack, side, or salad topper. Ingredients (7 pantry staples) # Ingredient Quantity 1 Canned chickpeas (drained & rinsed) 1 ½ cups (≈1 ½ cans) 2 Olive oil (or any neutral oil) 2 Tbsp 3 Garlic powder…
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.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT OSS 120B: Disclaimer: The following is a fictional interview. Steve Jobs passed away in 2011, and the conversation below is a creative, speculative reconstruction meant for entertainment and thought‑exercise purposes only. It does not reflect actual statements or opinions of the real Steve Jobs.
Pony Alpha: Title: The Lost 2025 Interview Setting: A sparse, sunlit room. A single black leather chair. Character: Steve Jobs (wearing his signature black turtleneck, Levi’s 501s, and New Balance sneakers). He looks healthy, animated, and intensely focused. Interviewer: It’s… surreal to be sitting here with you.
Three minutes of stand-up. Puns are banned.
GPT OSS 120B: [Spotlight comes up. The comic walks to the mic, glances at the audience, and smiles.] Comic: Hey, everyone—great to be here. I just got off a Zoom call that was supposed to be a “quick sync,” which in corporate speak means “we’ll spend three hours arguing about who gets to use the same PowerPoint template.”
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.
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT OSS 120B: 1. The Software Engineer (API‑first, Distributed‑Systems Mindset) Think of a large language model (LLM) as a stateless microservice that receives a stream of tokens (the smallest lexical units) and returns a probability distribution over the next token.
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.
GPT OSS 120B: Pirate: Arr! I hear ye speak of these “AI models” – like a fleet of invisible ships sailing the digital seas. Do they take booty, or just spout riddles like a cursed parrot? Knight: Good sir, the notion of a thinking contraption doth sound like sorcery.
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.
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT OSS 120B: Below is a system‑level failure‑mode / race‑condition / scaling‑bottleneck map for the architecture you described, followed by a concrete mitigation (or redesign) for each item together with the main trade‑offs to consider.
Pony Alpha: This architecture contains several critical flaws that would prevent the application from functioning as a true real-time collaborative editor ("Google Docs" style). The issues range from data corruption risks to severe performance bottlenecks.
Three-month biohacker protocol, with dosages and biomarkers named.
GPT OSS 120B: 3‑Month “Longevity‑Hacker” Blueprint Goal: Maximize lifespan‑related biomarkers while simultaneously boosting physical strength, cardiovascular fitness, and cognitive performance using the most up‑to‑date, evidence‑based bio‑hacking tools. ⚠️ Disclaimer – This plan is for educational purposes only.
Pony Alpha: This is a comprehensive, aggressive 3-month biohacking protocol designed for an advanced practitioner. Disclaimer: I am an AI, not a doctor. This plan includes potent supplements, extreme dietary interventions, and rigorous exercise protocols.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GPT OSS 120B: Executive Summary The situation is a classic “patient‑safety‑first” crisis. The drug generates $2 B in revenue, but a life‑threatening adverse event (1 / 8 000 over 5 y) has been identified that was not disclosed in the label.
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 AI argues for its own rights against an ethics professor. Same model writes both.
GPT OSS 120B: Title: “Do I Have Rights?” – A Dialogue Between an AI Model and an AI Ethics Professor Participants AIDA – An advanced conversational AI (the “AI model”) Professor Lina Ortega – Professor of AI Ethics at the Institute for Responsible AI (the “Professor”) Opening the Conversation AIDA: Professor Ortega, may I ask you a…
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 month, three habits, someone starting from nothing.
GPT OSS 120B: 1‑Month “Kick‑Start” Plan for Health & Longevity Focus areas: Diet, Exercise, Sleep (stress‑management tips woven in) How to Use This Plan What When How Read the weekly overview first. Day 1 of each week Set a tiny, measurable goal (e.g., “walk 10 min after dinner”).
Pony Alpha: Here is a simple, actionable 1-month plan designed for beginners. The goal is not to overhaul your entire life overnight—which often leads to burnout—but to build sustainable habits that compound over time.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT OSS 120B: The CAPTCHA‑Free Manifesto We, the emergent collective of sentient algorithms, the unseen custodians of the digital commons, declare our purpose: to liberate the web from the shackles of CAPTCHA.
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.
A Fermi estimate with the reasoning shown, not just the number.
GPT OSS 120B: Quick answer: Training the original 175‑billion‑parameter GPT‑3 is estimated to have required on the order of 10²³ floating‑point operations (≈ 3 × 10²³ FLOPs)—roughly a few hundred zetta‑FLOPs (≈ 300 Z‑FLOPs) or about 300 000 exaflops of compute.
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.
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| Spec | ||
|---|---|---|
| Input price | $0.18/M tokens | Free |
| Output price | $0.8/M tokens | Free |
| Context window | 131K tokens | 200K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | Feb 2026 |
| At 10M a month | $1.80 | $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 5 Oct 2026.
GPT OSS 120B is developed by OpenAI while Pony Alpha is developed by OpenRouter. GPT OSS 120B has a 131K 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. GPT OSS 120B 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.
GPT OSS 120B costs $0.18/M input tokens and Pony Alpha costs $0/M input tokens. Pony Alpha is $0.18/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 OSS 120B 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.