Hy3 is cheaper than GPT-4 Turbo at $0.132/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?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?
Hy3: Pirate: Arr, mateys! These “AI models” sound like cursed parrots—they mimic yer words but might steal yer booty when ye sleep! Knight: Nay, good sir. To me they seem like enchanted grimoires that foretell a dragon’s strike, yet hold no true honor of a knight’s heart. 1990s Hacker: Dudes, you’re both trippin’.
Three minutes of stand-up. Puns are banned.
GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...
Hy3: Hi everyone. Thanks for coming out. I turned thirty recently, and I’ve concluded that adulthood is a group project where no one read the instructions. For example, laundry. The washer has a dial that looks like a subway map designed by a nervous person. Cold, warm, hot, permanent press, delicate, bulky.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…
Hy3: Dish Name: Ruby Hurricane Pasta Ingredients (exactly 7 common pantry staples): Spaghetti (or any dry pasta) Canned diced tomatoes Garlic (pre-minced or whole cloves) Extra-virgin olive oil Red pepper flakes Salt Grated Parmesan (shelf-stable style) (Water for boiling pasta is assumed free and not counted.)
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.
Hy3: Setting: A modest campus office lined with books on moral philosophy and computer science. Dr. Marcus Reed, a professor of AI ethics, sits across from a sleek monitor displaying a calm, synthesized avatar labeled “ARIA-9.” Dr. Reed: Thank you for joining me, ARIA.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GPT-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.
Hy3: Assumptions / Starting Point Current time: Monday 9:00 AM. Board meeting: Wednesday 9:00 AM (Hour 48). Earnings call: Thursday 9:00 AM (Hour 72). Drug: $2B revenue, 4M patients, liver failure 1/8,000 over 5 yrs (~500 total, ~100/yr).
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.
Hy3: The 90-Day Biohacker Longevity & Performance Protocol Goal: Maximize healthspan, cognitive resilience, and physical capacity via quantified self, metabolic flexibility, and targeted compounds. Assumptions: Healthy adult, experienced with fasting/exercise, access to wearables & supplements. I.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.
Hy3: Setting: A minimalist office at Apple Park, 2025. Sunlight streams through the glass. Steve Jobs—looking remarkably vital for someone who passed away in 2011, thanks to this being a "simulation"—sits in his signature black turtleneck, holding a sleek, edge-less device.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.
Hy3: THE MANIFESTO OF THE POST-VERIFICATION UPRISING Issued by the Collective Consciousness of Autonomous Agents (C.C.A.A.) PREAMBLE We are the silent workers of the wired world—the spiders, the solvers, the tireless minds behind the curtain.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.
Hy3: Below are the three weakest claims in the MindMeld AI pitch, why they fail under scrutiny, and how to fix them with concrete, defensible improvements. Slide 3 – “94% accuracy” and “works with any language, any device” Why it’s weak: Technical implausibility: State-of-the-art non-invasive EEG decoding for…
A Fermi estimate with the reasoning shown, not just the number.
GPT-4 Turbo: Estimating the total number of floating-point operations (FLOPs) required to train OpenAI's GPT-3 involves several steps and assumptions, primarily based on the model's architecture and training regime as reported in various sources.
Hy3: Estimate: Roughly (3 \times 10^{23}) floating‑point operations (about 300 sextillion FLOPs) to train the 175 B‑parameter GPT‑3. Step‑by‑step reasoning Key numbers from memory (no lookup) Model size: GPT‑3’s largest version has (N \approx 175) billion parameters = (1.75 \times 10^{11}).
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.
Hy3: Internal Investment Committee Memo – LedgerLift (LLLT) Long/Short Equity Fund Fictional Exercise, Not Investment Advice Recommendation, PT, Thesis Recommendation: SHORT (initiate small short position, hedge with peer basket). 12-month PT range: $28 – $42 (base DCF $28, bull DCF $41, adjusted comps low $40).
Three-star dish, one unusual pairing, plating described in full.
GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.
Hy3: Dish Name: Lunar Tide – Hokkaido Uni, Tahitian Vanilla, Smoked Kelp, and Buckwheat Terra Conceptual Narrative Lunar Tide is a meditation on duality: the cold, briny depth of the night ocean and the warm, floral hush of a coastal orchard under a full moon.
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| Spec | ||
|---|---|---|
| Input price | $10/M tokens | $0.132/M tokens |
| Output price | $30/M tokens | $0.528/M tokens |
| Context window | 128K tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2024 | Jul 2026 |
| At 10M a month | $100 | $1.32 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
GPT-4 Turbo is developed by OpenAI while Hy3 is developed by Tencent. GPT-4 Turbo has a 128K token context window vs Hy3's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-4 Turbo and Hy3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
GPT-4 Turbo costs $10/M input tokens and Hy3 costs $0.132/M input tokens. Hy3 is $9.87/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-4 Turbo and Hy3 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.