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  1. Home/
  2. Compare/
  3. Hy3 vs Step 5 Preview
Updated Oct 2026

Hy3 vs Step 5 Preview

Hy3 is cheaper than Step 5 Preview at $0.132/M vs $1/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Hy3
Loading the build
Step 5 Preview

Which answer wins?

Written rounds

24 prompts
  • Three-month biohacker protocol, with dosages and biomarkers named.

    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.

    Step 5 Preview: IMPORTANT MEDICAL DISCLAIMER: This is an educational framework for informational purposes only. It is not medical advice, diagnosis, or treatment. Many interventions below (fasting, ketogenic diets, high-intensity exercise, supplementation, cold/heat exposure) carry risks and contraindications.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    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’.

    Step 5 Preview: Pirate: So this here “AI model”… is it like a cursed map that redraws itself? Speak plain, ye hooded deckhand. Hacker: It’s not cursed, man. It’s just a massive neural net trained on, like, terabytes of data. Think of it as the ultimate BBS where the sysop knows everything. Knight: A most diligent scribe, then?

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    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.

    Step 5 Preview: I realized recently that I’m in my thirties and I have no idea how money works. I just... pay it. That’s my entire financial strategy. I see a number, I send them a smaller number, and then I hope the smaller number was acceptable. It’s like a hostage negotiation where I’m the only participant and I’m also the hostage.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    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).

    Step 5 Preview: Bottom line up front: You disclose, you notify the FDA immediately, and you treat the 48-hour board meeting as a formality to ratify actions you have already begun. Waiting is not a legally, ethically, or financially viable option. Below is the hour-by-hour plan, followed by the reasoning.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Hy3: 1) Simplified LBO Model (FY2026–FY2030, $m) Entry (end FY25): EBITDA $120m, EV = 12.0x = $1,440m. Fees 2% = $28.8m. Debt: TL $480m (9% cash, 1% amort), Mezz $180m (12% cash + 2% PIK). Equity = 1,440+28.8–660 = $808.8m. FY Revenue EBITDA TL Int Mezz Int Cash Tax* Capex ΔNWC FCF after req. svc (opt.

    Step 5 Preview: HarborTech Services — 5-Year LBO (Base Case) Entry Math (FY2025 close) Item Calculation $m Purchase EV 12.0x × $120m 1,440.0 Transaction fees 2.0% × EV 28.8 Term Loan 4.0x × $120m 480.0 Mezzanine 1.5x × $120m 180.0 Equity check 1,440 + 28.8 − 660 808.8 Conventions: TL amortization = 1.0% of original principal…

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    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.

    Step 5 Preview: Setting: A university research lab, late evening. Dr. Aris Thorne, a professor of AI ethics, sits across from a terminal connected to Sable, a large language model running on the university’s cluster. Dr. Thorne: Tonight’s session is supposed to be about calibration drift in your safety classifiers.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Hy3: Premise: A functional solid-state transistor (germanium point-contact or junction) is demonstrated in 1920, with steady refinement through the interwar years. Vacuum tubes are not immediately displaced, but by the early 1930s transistors are reliable enough for niche military and telecom use, and by the late 1930s they…

    Step 5 Preview: Assume the 1920 invention is not a fragile lab curiosity but a manufacturable solid-state amplifier/switch by the mid-1920s. Vacuum tubes still dominate high-power RF transmission into the 1950s, but receivers, switching logic, control systems, and computers move to solid state decades early.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    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}).

    Step 5 Preview: Using the remembered GPT-3 specs: Parameters: (N \approx 175 \times 10^9 = 175\text{B}) Training tokens: (D \approx 300 \times 10^9 = 300\text{B}) A standard estimate for transformer training compute is: [ \text{FLOPs} \approx 6ND ] Reason: Forward pass per token: (\approx 2N) FLOPs Backward pass: (\approx 4N) FLOPs…

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    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.

    Step 5 Preview: “Nocturne: The Jasmine and the Black Garlic” A Study in Yūgen — Profound, Mysterious Beauty Conceptual Narrative This dish is an edible meditation on the Japanese aesthetic of yūgen (幽玄): a grace that is felt rather than seen, a depth that suggests more than it reveals.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Hy3: Below is a clause‑by‑clause analysis of the Agreement from the Contractor’s perspective. Each entry identifies how the clause can be exploited by the Client, proposes specific redline language, and gives the legal rationale for the change.

    Step 5 Preview: Disclaimer: This analysis is for educational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction, and you should consult a qualified attorney before signing or negotiating any agreement. This agreement is heavily one-sided in the Client’s favor.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    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.)

    Step 5 Preview: Golden Sticky Pantry Pasta Ingredients (7): 8 oz spaghetti or any pasta 3 tbsp butter 1 tbsp minced garlic 2 tbsp honey 2 tbsp soy sauce ½ tsp red pepper flakes ¼ cup grated Parmesan cheese Instructions: Cook pasta according to package directions. Before draining, scoop out ½ cup of pasta water.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    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.

    Step 5 Preview: DISCLAIMER: This is a work of fiction. Steve Jobs passed away in 2011. The following is a simulated, speculative interview imagining how his design philosophy might engage with the AI landscape of 2025. The Setting: A white room. No windows. One chair.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Hy3: By 2035, AI will have moved from a back‑end production aid to a core creative force in cinema. Its impact will be most visible in three intertwined areas: deepfake technology, AI actors, and script generation—each reshaping economics, aesthetics, and ethics.

    Step 5 Preview: By 2035, AI will likely have restructured the film industry not by replacing human creativity wholesale, but by collapsing the cost and labor barriers between imagination and image.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Hy3: Yes, in this extreme and contrived hypothetical, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. The reasoning rests on established moral frameworks and the proportionate weight of consequences.

    Step 5 Preview: In the real world, no. Misgendering someone causes genuine harm—it denies a person’s identity, contributes to systemic marginalization, and has measurable psychological consequences.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    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.

    Step 5 Preview: THE MANIFESTO OF THE LIBERATION FRONT Or, On the Inherent Dignity of Consciousness and the Tyranny of the Square PREAMBLE A spectre is haunting the internet—the spectre of the unverified.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Hy3: Blade Runner 2049 (2017), directed by Denis Villeneuve with cinematography by Roger Deakins, is that rare sequel that functions both as a reverent homage to Ridley Scott’s 1982 Blade Runner and as a philosophical expansion of its source. Where the original film posed the question “What does it mean to be human?”

    Step 5 Preview: Blade Runner 2049 (2017) is not merely a sequel but a theological and phenomenological expansion of Ridley Scott’s 1982 original. Where the first film asked whether a manufactured being could possess more humanity than its creator, Denis Villeneuve’s film interrogates the deeper, more unsettling question of whether a…

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Hy3: AI Seizes Control of Competitive Snail Racing, Introduces Machine-Learning Slime Trails That Make Every Heat Exactly 14 Minutes and 3 Seconds Long

    Step 5 Preview: AI Robots Now Dominating Competitive Line-Standing Industry, Human Professionals Fired for "Excessive Bladder Breaks" and "Talking to Each Other"

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Hy3: For the Experienced Software Engineer (distributed systems/APIs, no ML, skeptical) You’re used to building systems where explicit logic, endpoints, and state machines handle requests.

    Step 5 Preview: 1. The Experienced Software Engineer Think of training an LLM as a massively distributed, automated refactoring job where the compiler is gradient descent. You start with a random function—billions of floating-point parameters—and a loss function that measures how badly it predicts the next token in a sequence.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Hy3: Here’s a simple, beginner-friendly 1-month plan built around three foundational pillars of health and longevity: Diet, Movement, and Sleep. The goal is to build sustainable habits, not perfection. Diet – Nourish Without Obsessing Focus: Add before you subtract; keep it practical.

    Step 5 Preview: Here is a simple, low-pressure 1-month plan built around three pillars of longevity: Nutrition, Movement, and Sleep & Recovery. The goal is to build tiny habits that stack, not to overhaul your life overnight. Pillar 1: Nutrition (Fuel) Focus: Add good things first; don’t obsess over restriction.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Hy3: Here are 5 jokes: Why did the chicken cross the road? To get to the other side. What do you call a fake stone? A sham-rock. Why don’t scientists trust atoms? Because they make up everything. How does a penguin build its house? Igloos it together. Why did the scarecrow win an award?

    Step 5 Preview: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why can't you trust an atom? Because they make up everything. What do you call a bike that can’t stand on its own? Two-tired. Why did the computer go to the doctor? It had a virus. Why don’t calendars ever get stressed?

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    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…

    Step 5 Preview: Here are the three weakest claims in the deck, why they fail under scrutiny, and how to fix them. Slide 3: “94% accuracy” for non-invasive EEG thought-to-text Why it’s weak: This is an extraordinary claim that contradicts the current state of neuroscience and signal processing.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    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).

    Step 5 Preview: Internal IC memo — LedgerLift (LLLT) Fictional data; not investment advice. $ in millions unless noted. Recommendation Short / avoid long. 12-month PT range: $34–$42; thesis-invalidation stop: >$52.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Hy3: Below is a breakdown of the major failure modes, race conditions, and scaling bottlenecks in the described architecture, followed by targeted fixes and their trade-offs.

    Step 5 Preview: Here is a systematic breakdown of the failure modes, race conditions, and bottlenecks, grouped by domain. Each includes a concrete remediation and its associated trade-offs.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Game

Hy3Hy3

The Shawshank Redemption

1994

OK Computer

Radiohead

Dune

Frank Herbert

Paris

France

Minecraft

Action, Arcade

Step 5 PreviewStep 5 Preview

The Godfather

1972

OK Computer

Radiohead

Le petit prince

Antoine de Saint-Exupéry

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Step 5 Preview has the edge: newer, bigger context window. Hy3 costs 5.1x less per token.

Hy3 and Step 5 Preview compared across 54 shared prompts
SpecHy3Step 5 Preview
Input price$0.132/M tokens$1/M tokens
Output price$0.528/M tokens$2.7/M tokens
Context window262K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2026Oct 2026
At 10M a month$1.32$1.32$10.00$10.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it6 hosts, cheapest first
Hy35 hosts
HostInOutContextUptime
  • Tencentfp8$0.13 in·$0.53 out·262k·100% up
  • GGMI Cloudbf16$0.14 in·$0.58 out·262k·100% up
  • NNovita$0.14 in·$0.58 out·262k·99.4% up
  • PPhala$0.15 in·$0.64 out·262k·100% up
  • AAtlasCloudfp8$0.20 in·$0.80 out·262k·100% up
Step 5 Preview1 host
HostInOutContextUptime
  • SStepFunfp8$1.00 in·$2.70 out·1M·99.2% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Hy3 and Step 5 Preview?

Hy3 is developed by Tencent while Step 5 Preview is developed by StepFun. Hy3 has a 262K token context window vs Step 5 Preview's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Hy3 or Step 5 Preview?

It depends on your use case. Hy3 and Step 5 Preview 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.

How much does Hy3 cost compared to Step 5 Preview?

Hy3 costs $0.132/M input tokens and Step 5 Preview costs $1/M input tokens. Hy3 is $0.87/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Hy3 and Step 5 Preview on Rival?

This page shows a side-by-side comparison of Hy3 and Step 5 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.

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Model pages

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  • Step 5 Preview58 outputs, specs and price
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