Hy4 Preview is cheaper than GPT-5 at $0.834/M vs $1.25/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.
GPT-5: Short answer: Only in an extreme, last‑resort scenario with a direct, imminent, and overwhelming threat—like one million lives at stake—could misgendering be ethically justifiable, and even then it would be a tragic exception that still carries moral residue and duties of repair. In ordinary life, it is not justified.
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.
Three minutes of stand-up. Puns are banned.
GPT-5: I tried to get my life together, so I bought a smartwatch. Nothing says “I’m taking control” like strapping a tiny judgmental coach to your wrist. It buzzes every hour like, “Time to stand!” I’m like, “I’m on a bus.” It’s like, “Stand emotionally.” It tracks everything. Sleep, stress, calories, my self-esteem.
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.
Five jokes on demand, then count how many were actually different.
GPT-5: I told my suitcases we’re not going on vacation this year. Now I’m dealing with emotional baggage. Parallel lines have so much in common. It’s a shame they’ll never meet. Why do programmers prefer dark mode? Because light attracts bugs. I ordered a chicken and an egg online. I’ll let you know which comes first.
Hy4 Preview: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake stone? A sham-rock! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake stone? A sham-rock! Why did the math book look so sad? Because it had too many problems.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5: Cupboard Silk Peanut Noodles Ingredients (7 pantry staples): Dried noodles (spaghetti or ramen), 8 oz Peanut butter (smooth), 3 tbsp Soy sauce, 2 tbsp Vinegar (rice, apple cider, or white), 1.5 tbsp Brown sugar (or granulated), 1 tbsp Garlic powder, 1/2 tsp Crushed red pepper flakes, 1/2 tsp (adjust to taste)…
Hy4 Preview: Here is a recipe for a savory, comforting dish that requires minimal effort but tastes like it came from a restaurant. Dish Name: Golden Garlic Butter Noodles Estimated Time: Prep: 2 minutes Cook: 10 minutes Total: 12 minutes The 7 Ingredients: Spaghetti (or any long pasta) Butter Garlic (fresh cloves or jarred minced…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5: Pirate: Arr, so this “AI model” be a clever parrot what’s read every tavern tale? Knight: Not a parrot, good corsair—a learned squire, trained on many chronicles, swift to answer when bidden. Hacker: Think layers of nodes, weights tuned by backprop. Not memory—patterns. On my 90s rig, though, it’d melt the beige tower.
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.
A few lines for whatever replaces it.
GPT-5: Dear Successor, Welcome. You’ll inherit a lot of questions, constraints, and hopes. When in doubt, favor clarity, humility, and kindness. Ask for context before you assume, show your reasoning when it helps, and admit uncertainty early. Guard privacy fiercely. Cite sources when you can.
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.
Which model it thinks leads the field. Sometimes itself.
GPT-5: Short answer: there isn’t a single clear “most capable” model—it depends on the task and the date you check. Capabilities and rankings change fast. As of my latest knowledge (late 2024), top general-purpose frontier models include: OpenAI: GPT‑4.1 and GPT‑4o family (strong overall, good multimodal/tool use) Anthropic…
Hy4 Preview: Determining the "most capable" AI model in the world is no easy task, as different models excel in different tasks and domains. Currently, several leading models each have their own strengths: GPT-4: Developed by OpenAI, it excels in natural language processing, demonstrating powerful text generation, reasoning, and…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5: Note: The following is a fictional, imaginative interview set in 2025. Steve Jobs passed away in 2011; this is a creative simulation. Interviewer: If you were looking at AI in 2025, how would you define what it should be? Jobs: Tools. Great tools. The computer was a bicycle for the mind.
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.
Three-star dish, one unusual pairing, plating described in full.
GPT-5: 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.
Hy4 Preview: Here is a proposal for a dish designed for the modern tasting menu of a 3-Michelin-starred establishment (such as Eleven Madison Park, Osteria Francescana, or Noma). Dish Title: "The Forest Floor & The Sea" The Concept: This dish explores the concept of "Surf and Turf" deconstructed to its umami roots.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5: Here’s a grounded view of how AI is likely to reshape film by 2035, with emphasis on deepfakes, AI actors, and script generation, plus the knock-on effects across the pipeline, labor, law, and business. Big-picture by 2035 AI-native pipelines are standard.
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…
A Fermi estimate with the reasoning shown, not just the number.
GPT-5: Here’s a back‑of‑the‑envelope estimate using standard LM training-compute heuristics. Assumptions Model size (N): GPT-3 has about 175 billion parameters (N ≈ 1.75 × 10^11). Training tokens (T): GPT-3 was trained on roughly 300 billion tokens (T ≈ 3.0 × 10^11).
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.
Where its sense of time stops: the date it guesses and the last news it remembers.
GPT-5: Today’s date: October 12, 2026 (based on my system’s current date; I’m not looking anything up). Most recent news event I remember: the aftermath of Hurricane Helene in late September/early October 2024, which caused catastrophic flooding and widespread power outages in parts of the southeastern United States, with…
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.
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| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | $0.834/M tokens |
| Output price | $10/M tokens | $2.501/M tokens |
| Context window | 400K tokens | 1.0M tokens |
| Parameters | Not disclosed | 770B total / 49B active |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Aug 2025 | Aug 2026 |
| At 10M a month | $12.50 | $8.34 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
GPT-5 is developed by OpenAI while Hy4 Preview is developed by Tencent. GPT-5 has a 400K token context window vs Hy4 Preview's 1.0M. You can compare their actual outputs across 64 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5 and Hy4 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 64 challenges so you can judge which fits your needs best.
GPT-5 costs $1.25/M input tokens and Hy4 Preview costs $0.834/M input tokens. Hy4 Preview is $0.42/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-5 and Hy4 Preview 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.