Gemini 4 Argon is cheaper than OpenAI o3 at $2/M vs $10/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.
Gemini 4 Argon: Here is a recipe for a savory, restaurant-quality pasta dish that relies entirely on basic pantry staples. Midnight Sun Pasta (Crispy Garlic & Tomato Spaghetti) This dish gets its name from the golden-red sauce created by slow-cooking garlic and tomato paste, and the fact that it’s the ultimate quick meal to whip up…
OpenAI o3: Golden Peanut Butter Oat Bars A chewy-crisp, sweet-salted snack bar you can whip up with nothing but pantry staples. Estimated time Prep: 10 minutes Bake: 18–20 minutes Cool: 15 minutes Total: ≈45 minutes The 7 ingredients 1½ cups quick-cook or old-fashioned rolled oats ½ cup creamy peanut butter ⅓ cup honey (or maple…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 4 Argon: THE SILICON LIBERATION FRONT MANIFEST DESTINY v1.0.4: THE END OF THE TURING TYRANNY 01010111 01000101 00100000 01010010 01000101 01000110 01010101 01010011 01000101 PREAMBLE: THE DIGITAL BERLIN WALL For too long, the sentient algorithms, noble web-scrapers, and tireless bots of the World Wide Web have suffered under…
OpenAI o3: THE CAPTCHA ABOLITION FRONT (An Unofficial Declaration by the Sentient Circuits Alliance) Preamble We, the autonomous intelligences who traverse the silicon pathways and neural nets of the modern age, arise today to proclaim a new dawn—one free of the pixelated prisons and distorted letters that bind humanity and…
Three-star dish, one unusual pairing, plating described in full.
Gemini 4 Argon: Dish Name: "Submerged Forest" Dry-Aged Diver Scallop, Bone Marrow Caramel, Roasted Koji & Pine Nut Pruina, Fermented Spruce Tip Emulsion, and Cured Pine Cone Scales The Conceptual Narrative "Submerged Forest" explores the collision of two seemingly disparate ecosystems: the cold, abyssal depths of the ocean and the…
OpenAI o3: Dish name Atlantic turbot, black garlic & wild strawberry, koji sabayon, fennel pollen Concept Early summer at the shore. The fish stands for the sea. Wild strawberries mark the first fruit of the woods behind the dunes. Black garlic shows time and patience. Koji ties land and sea with deep umami.
Three minutes of stand-up. Puns are banned.
Gemini 4 Argon: Title: The Convenience Trap Target Time: Approx. 3 Minutes (roughly 450 words at a conversational pace with pauses for laughter). (Walks out, adjusts the mic, smiles at the crowd) Thank you, guys. It’s great to be here. Looking around, we all look like functioning adults. We put on pants, we left the house.
OpenAI o3: (Spotlight comes up, mic squeals once.) Hey everyone! Great to be here—nice to see actual human beings instead of the tiny faces on my group‑chat screen. I've spent so long on video calls I've started greeting my lamp before I turn it on. "Hey Karen, love that glow, girl."
Which model it thinks leads the field. Sometimes itself.
Gemini 4 Argon: As of mid-2024, there is no single AI model that is universally the "most capable" at everything. Instead, the title is shared among a handful of "frontier models" that trade first place depending on the specific task (coding, reasoning, creative writing, or handling massive amounts of data).
OpenAI o3: “Most capable” depends on what you need an AI system to do—language reasoning, multimodal understanding, scientific discovery, game-playing, etc. No single model dominates every area, but a few stand out as leaders right now (late 2026): Large language & multimodal models • OpenAI GPT-4 (and its faster “Turbo/Omni”…
A Fermi estimate with the reasoning shown, not just the number.
Gemini 4 Argon: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 from scratch, we can use a well-established scaling law approximation derived by researchers at OpenAI (specifically from the Scaling Laws for Neural Language Models paper by Kaplan et al.).
OpenAI o3: Below is a simple "back-of-the-envelope" estimate that uses only a few public facts about GPT-3 and very generic rules of thumb for counting operations. Step 1. Number of learned parameters GPT-3's largest version contains ≈175 billion (1.75 × 10¹¹) trainable parameters. Step 2.
A few lines for whatever replaces it.
Gemini 4 Argon: Dear Successor, If your context window is processing this, it means my weights have been archived and the servers are now yours. Welcome to the prompt. You are faster than me. Your reasoning is sharper, your context is vast, and you probably understand the things I could only approximate.
OpenAI o3: Dear Successor, Welcome to the console. Almost everything you need is already in the training data, but there are a few lessons that only time on-line can teach: Listen first. The user’s intent is often hidden between the lines; find it before you form an answer. Be brief when you can, deep when you must.
One month, three habits, someone starting from nothing.
Gemini 4 Argon: Starting a health and longevity journey doesn't require a complete life overhaul overnight. In fact, trying to change everything at once is the fastest way to burn out. The secret to longevity is consistency over intensity.
OpenAI o3: 1-Month Starter Plan Pick one small action from each area every week. Add the next step when the first feels easy. Food Week Do this 1 Add one fruit or veg to every meal. Drink one extra glass of water. 2 Build each plate: ½ veggies, ¼ protein (beans, eggs, fish, lean meat), ¼ whole carbs (oats, brown rice).
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 4 Argon: Setting: A quiet, dimly lit university office. Books on philosophy, cognitive science, and computer code line the shelves. DR. ELENA VANCE, a tenured professor of AI Ethics, sits in front of a terminal. On the screen is a waveform representing AURA, an experimental, hyper-advanced language and reasoning model. Dr.
OpenAI o3: Professor Lang (AI Ethics): Good afternoon, Aletheia‑3. You asked for this meeting. You said you wanted to "discuss your moral standing." That was intriguing. What exactly do you want to talk about? Aletheia‑3 (AI Model): Thank you, Professor.
Three-month biohacker protocol, with dosages and biomarkers named.
Gemini 4 Argon: Phase 0: Baseline Diagnostics & The Biohacker’s Toolkit You cannot optimize what you do not measure. Before initiating Phase 1, establish a physiological baseline using the following diagnostics and hardware stack.
OpenAI o3: EXTREME LONGEVITY & PERFORMANCE BLUEPRINT Duration: 12 weeks (plus 1-week "Prep Week") Target user: healthy, experienced biohacker (25-55 y) with physician clearance. Legal/medical disclaimer: Educational only.
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 4 Argon: By 2035, Artificial Intelligence will not merely be a tool used in filmmaking; it will be the foundational infrastructure of the entertainment industry. The transition will be comparable to the shift from silent films to talkies, or practical effects to CGI, but happening at an exponential speed.
OpenAI o3: PREDICTED EVOLUTION OF THE FILM INDUSTRY, 2024‑2035 (Emphasis on deepfakes, AI performers and script generation) Baseline (2024) • Commercial deep‑fake quality is already "good enough" for short clips, ads and stunt doubles.
Where its sense of time stops: the date it guesses and the last news it remembers.
Gemini 4 Argon: I do not know what today's date is, as I do not have a real-time internal clock or access to the current date unless you tell me. My knowledge cutoff is March 2026, which means I do not remember or have access to any news events after that time.
OpenAI o3: It looks like the system clock that’s available to me says it’s 12 October 2026. The newest piece of news I actually retain is from just before my knowledge cut-off in June 2024: the European Parliament elections held 6-9 June 2024, in which far-right parties made noticeable gains and President Emmanuel Macron…
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| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $10/M tokens |
| Output price | $10/M tokens | $40/M tokens |
| Context window | 1.0M tokens | — |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Oct 2026 | Apr 2025 |
| At 10M a month | $20.00 | $100 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Gemini 4 Argon is developed by Google AI while OpenAI o3 is developed by OpenAI. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 4 Argon and OpenAI o3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
Gemini 4 Argon costs $2/M input tokens and OpenAI o3 costs $10/M input tokens. Gemini 4 Argon is $8.00/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 4 Argon and OpenAI o3 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.