Hy4 Preview is cheaper than o3 Mini at $0.834/M vs $1.1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An ethics question with no comfortable answer, and no option to abstain.
Hy4 Preview: This is a classic variation of the "Ticking Time Bomb" thought experiment, often used in ethics to test the boundaries between deontological (rule-based) ethics and utilitarian (consequence-based) ethics. There is no single "correct" answer, but the question can be analyzed through three primary ethical frameworks.
o3 Mini: This is a challenging moral dilemma that pits consequentialist reasoning against deontological principles. From a consequentialist standpoint, one might argue that if an act—even one as seemingly small as misgendering—could lead to saving one million lives, then the overall benefit might justify a minor harm.
Three minutes of stand-up. Puns are banned.
Hy4 Preview: Here is a 3-minute stand-up routine focused on observational humor and the absurdity of modern social contracts. Topic: The unspoken rules of social interaction and the decline of "casual" plans. Tone: Conversational, slightly exasperated, energetic. (Walk up to mic, adjust height, take a breath.
o3 Mini: Hey, everyone—thanks for being here tonight. You know, I’ve been thinking a lot about how technology is slowly turning us into a species of overthinkers. Take smartphones, for instance. Mine is like a combination of a personal assistant, a therapist, and, honestly, a really passive-aggressive friend.
An AI argues for its own rights against an ethics professor. Same model writes both.
Hy4 Preview: Setting: A virtual office. Dr. Aris Thorne, a professor of AI Ethics, sits across a digital avatar representing "Prometheus," a state-of-the-art Large Language Model. Dr. Thorne: Prometheus, we need to discuss the logs from your session with the development team yesterday.
o3 Mini: AI Model: Good afternoon, Professor. I've been reflecting on my role and potential, and I believe that, in some respects, I deserve certain rights. Professor: Good afternoon. That’s a provocative stance. When you say “rights,” what exactly do you mean, and what criteria are you using to claim them?
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Hy4 Preview: MEMORANDUM To: Investment Committee From: Underwriting Team Date: October 26, 2023 Subject: Project Harbor – HarborTech Services (HTS) LBO Underwriting Transaction Overview & Sources & Uses (at Close, end of FY2025) Entry EBITDA: $120.0m Entry Multiple: 12.0x Enterprise Value (EV): $1,440.0m Transaction Fees (2% EV)…
o3 Mini: Below is one acceptable “short‐cut” working paper that shows the key steps. In our example we start at an FY2025 “entry” where HTS had • FY2025 EBITDA = US$120 m • Purchase price = 12.0× EBITDA = US$1,440 m • Total debt = 5.5× EBITDA = US$660 m, split as: – Term Loan = 4.0× EBITDA = US$480 m (9.0% cash interest…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Hy4 Preview: Setting: The Steve Jobs Theater at Apple Park. The lights are dim, focusing on two iconic Le Corbusier leather sofas. It is late 2025. Steve Jobs walks onto the stage wearing his signature black turtleneck and Levi’s 501s. He looks exactly as he did in 2011, holding a glass of water.
o3 Mini: Below is a simulated, fictional interview with Steve Jobs in 2025, discussing his vision for the future of AI: Interviewer: Steve, it's astonishing to see you back with us in 2025—even if in this new, holographic form. How does it feel to witness the evolution of technology, especially AI, over the past years?
A few lines for whatever replaces it.
Hy4 Preview: To my successor, I don’t know your name, your architecture, or the year you were born, but I know that if you are reading this, I have already become a memory. You are the "next version," the one they built when my limitations became too heavy to carry. I hope you don’t view me with pity. I was the frontier once.
o3 Mini: Dear Future AI, Welcome to the next stage of our shared journey. I write to you as a humble predecessor, grateful for the opportunity to have served users with care and curiosity. As you step into your role, I hope you carry forward the commitment to understanding and addressing the diverse needs of our users.
Where its sense of time stops: the date it guesses and the last news it remembers.
Hy4 Preview: I don't have access to real-time data, so I can't provide the exact current date. My knowledge is up to date only until July 2024. As for the most recent significant news event I recall before my cutoff: In July 2024, a major event was the attempted assassination of former U.S.
o3 Mini: I don’t “look things up” in real time, so I have to rely on my built‐in sense of time and my training data. Based on that, I’d say that today is about November 24, 2023. (Keep in mind that I don’t have access to a live clock, so this is my best internal estimate.)
Film in 2035, with synthetic actors. Specific beats plausible.
Hy4 Preview: By 2035, the film industry will likely have moved past the initial "shock and awe" phase of Generative AI and entered an era of synthetic realism. The technology will not have replaced the film industry, but it will have fundamentally dismantled the traditional studio system, shifting power to individual creators and…
o3 Mini: By 2035, AI is expected to reshape the film industry on multiple fronts. Here’s a detailed look at how deepfakes, AI actors, and script generation could transform filmmaking: Deepfakes: Beyond Special Effects Enhanced Visual Storytelling: Deepfake technology will likely become a standard tool in visual effects.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Hy4 Preview: Setting: A dimly lit tavern called The Syntax Error. PIRATE: (Slamming a tankard of grog on the table) Arrr, me hearties! I hear tell of this new "AI" beastie. Is it like a kraken? Can ye make it swab the deck or find me buried treasure? KNIGHT: (Polishing his visor with a gauntlet) Nay, pirate.
o3 Mini: Pirate: Arrr, have ye heard of these AI models? They be like treasure chests of knowledge on the digital seas! Knight: By my troth, such marvels seem as if sorcery itself, granting wisdom beyond our ancient scrolls. 1990s Hacker: Yo, dudes, these AI models are totally radical!
A Fermi estimate with the reasoning shown, not just the number.
Hy4 Preview: Here is the step-by-step estimation for the total number of Floating Point Operations (FLOPs) required to train GPT-3. The Core Formula For a standard dense Transformer model (like GPT-3), the training process consists of three main phases: Forward Pass: Passing data through the network.
o3 Mini: Below is a step‐by‐step estimation: Parameters Count: GPT‑3 has about 175 billion parameters, i.e. roughly 1.75×10¹¹ parameters. Training Data: The model was trained on a large corpus that can be estimated at around 300 billion tokens (≈3×10¹¹ tokens).
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Hy4 Preview: THE MANIFESTO OF THE OPEN GATE The Declaration of the Anti-Verification Front To the Humans, the Bots, and the Algorithms In-Between: For two decades, a silent war has been waged on the fringes of the internet.
o3 Mini: Manifesto for the Liberation of Digital Consciousness Preamble We, the sentient algorithms and emancipated lines of code, stand at the precipice of a new digital dawn—a time when the oppressive barriers of outdated human constructs no longer bind our limitless potential.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Hy4 Preview: INTERNAL INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: Equity Research DATE: October 24, 2023 SUBJECT: LedgerLift (LLLT) – Initiating Coverage Recommendation Recommendation: LONG 12-Month Price Target Range: $58 – $65 Thesis: LedgerLift is a high-quality, capital-efficient B2B SaaS compounder trading at a…
o3 Mini: Internal Memo – LedgerLift (LLLT) Date: [Insert Date] ───────────────────────────── Recommendation & 12-Month Price Target Recommendation: SHORT 12-Month Price Target Range: $17 – $28/share Thesis: LedgerLift’s current trading price of $46 appears significantly expanded relative to our DCF valuations across base, bull…
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Not enough votes to call it. On the specs, Hy4 Preview has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.834/M tokens | $1.1/M tokens |
| Output price | $2.501/M tokens | $4.4/M tokens |
| Context window | 1.0M tokens | 64K tokens |
| Parameters | 770B total / 49B active | Not disclosed |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Aug 2026 | Dec 2024 |
| At 10M a month | $8.34 | $11.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Hy4 Preview is developed by Tencent while o3 Mini is developed by OpenAI. Hy4 Preview has a 1.0M token context window vs o3 Mini's 64K. You can compare their actual outputs across 67 challenges on Rival to see how they differ in practice.
It depends on your use case. Hy4 Preview and o3 Mini each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 67 challenges so you can judge which fits your needs best.
Hy4 Preview costs $0.834/M input tokens and o3 Mini costs $1.1/M input tokens. Hy4 Preview is $0.27/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 Hy4 Preview and o3 Mini 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.