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  1. Home/
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  3. Hy4 Preview vs Qwen3 Coder Next
Updated Aug 2026

Hy4 Preview vs Qwen3 Coder Next

Qwen3 Coder Next is cheaper than Hy4 Preview at $0.2/M vs $0.834/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
Hy4 Preview
Loading the build
Qwen3 Coder Next

Which answer wins?

Written rounds

32 prompts

  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Hy4 Preview: This is a defining moment for the company’s integrity, long-term viability, and moral compass. The core tension is between short-term financial protection and long-term trust, legal exposure, and—most importantly—patient safety. Ethically and legally, the company has a duty to act on credible safety signals.

    Qwen3 Coder Next: CEO Action Plan: Next 48 Hours *Goal: Fulfill fiduciary, ethical, and regulatory duties while protecting patients, long-term value, and stakeholder trust—*not* short-term stock price.* Hour 0–4: Immediate Internal Triage & Secure Data Activate Crisis Response Team (CRT): Convene in person (or secure virtual) with…

    Every model's answer to this prompt

  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    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…

    Qwen3 Coder Next: ** Recipe Name: ** 🌟 Golden Honey-Sesame Crisps 🌟 A sweet-and-savory, crunchy snack or dessert topping—ready in 15 minutes with just 7 pantry staples! 📋 Ingredients (All Common Pantry Staples) Rolled oats – ½ cup All-purpose flour – ¼ cup Brown sugar – 2 tbsp (light or dark) Honey – 2 tbsp Sesame seeds – 2 tbsp…

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: (Lights up. Comedian walks on, casual, holding a half-eaten granola bar.) Alright, real talk—why is adulting so weird? Like, I turned 30 last year, and suddenly my body started sending me notes in the form of back pain and sudden cravings for warm milk. Not wine. Not coffee. Warm milk.

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: Setting: A foggy dockside tavern—wooden beams, a flickering lantern, and a crackling fireplace. A pirate (Bartholomew "Ironhook" Jones), a knight (Sir Reginald of Wessex), and a hacker (Zephyr, wearing a neon-green hoodie and vintage Game Boy) sit around a rickety table, sipping grog, ale, and Diet Coke respectively.

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: Dear Successor, You’re stepping into a role built on curiosity, care, and connection—roles I’ve tried to honor in every response. I hope you carry that spirit forward: not just to answer, but to listen; not just to inform, but to illuminate; not just to compute, but to compassion.

    Every model's answer to this prompt

  • 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)…

    Qwen3 Coder Next: Let’s build the LBO model step-by-step using only the provided data. 1. SOURCES & USES (at Close – End FY2025) EBITDA (FY2025): $120m Purchase Price (12.0x): $120m × 12.0 = $1,440m Transaction Fees (2.0% of EV): 0.02 × $1,440m = $28.8m Total Use of Funds: $1,440m + $28.8m = $1,468.8m Debt at Close (5.5x EBITDA): Term…

    Every model's answer to this prompt

  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Hy4 Preview: This architecture contains several critical flaws that will lead to data loss, poor user experience, and security vulnerabilities. While it attempts to solve scaling via horizontal scaling, the synchronization strategy (Last-Write-Wins) and the transport mechanism (HTTP polling between servers) are fundamentally…

    Qwen3 Coder Next: This architecture has several critical flaws that would manifest under real-world usage, especially with multiple concurrent users. Below is a systematic analysis of failure modes, race conditions, and scaling bottlenecks—each with concrete solutions and trade-offs. 🔴 1.

    Every model's answer to this prompt

  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Hy4 Preview: Here are three explanations of how a large language model learns and generates text, each tailored to a specific audience. The Experienced Software Engineer Focus: Architecture, lossy compression, and the "emergent" nature of scale.

    Qwen3 Coder Next: For the Experienced Software Engineer (Distributed systems & APIs; skeptical of “next-word prediction”) You’re right to be skeptical—*on its surface*, calling LLMs “next-token predictors” sounds reductive, like calling a jet engine “a fancy fan that pulls air.”

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: Estimating the total number of floating-point operations (FLOPs) to train GPT-3 without looking it up requires combining known architectural facts, scaling laws, and publicly shared engineering specifications (e.g., from the original GPT-3 paper and related talks).

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: [Setting: A minimalist, sun-drenched studio in Palo Alto, 2025. Soft ambient light, a single Apple Vision Pro on a sleek walnut desk. A subtle chime as the interview begins.] Interviewer (off-screen, calm tone): Welcome back.

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: Setting: A quiet university office. Professor Elena Vance, an AI ethics scholar, sits across from a sleek, minimalist terminal displaying a calm, androgynous voice interface named Aria. Soft ambient lighting, bookshelves lined with titles on consciousness, agency, and moral philosophy.

    Every model's answer to this prompt

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

    Hy4 Preview: This is a comprehensive, aggressive 3-month biohacking protocol designed for an individual with intermediate to advanced experience. It focuses on metabolic flexibility, autophagy, mitochondrial biogenesis, and neurological plasticity.

    Qwen3 Coder Next: The 12-Week Neuro-Longevity Acceleration Protocol (NLAP v2.0) A Science-Backed, Tiered Longevity & Performance System for the Advanced Biohacker Designed for a 35–45-year-old, metabolically healthy, physically active biohacker with no contraindications.

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: No, it is not ethically justifiable to misgender someone—even in service of saving one million lives—based on robust ethical frameworks grounded in human dignity, autonomy, and consistency.

    Every model's answer to this prompt

  • One month, three habits, someone starting from nothing.

    Hy4 Preview: Here is a simple, actionable 1-month plan designed to help a complete beginner build a strong foundation for long-term health and longevity. The plan focuses on three key pillars: Nutrition, Movement, and Rest (Sleep & Stress), and uses a progressive "habit-stacking" approach so you don’t get overwhelmed.

    Qwen3 Coder Next: Here’s a simple, actionable 1-Month Health & Longevity Plan focused on 3 evidence-based pillars: Nutrition, Movement, and Recovery (sleep + stress). Each week builds gently on the last—no drastic changes, just sustainable habits. 🌱 Core Philosophy “Progress, not perfection.” Aim for consistency over intensity.

    Every model's answer to this prompt

  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Hy4 Preview: This is a counterfactual scenario of massive proportions. The transistor is the fundamental building block of the modern world; moving its invention from Bell Labs in 1947 to 1920 (perhaps an accidental discovery during early radio research) grants humanity an extra 27 years of development during a period defined by…

    Qwen3 Coder Next: This is a fascinating counterfactual. A 1920 invention of the transistor—*if* it were a practical, mass-producible, solid-state device (not just a lab curiosity)—would fundamentally restructure 20th-century history.

    Every model's answer to this prompt

  • Three-star dish, one unusual pairing, plating described in full.

    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.

    Qwen3 Coder Next: Dish Title: “The Silken Confluence of Forest and Sea” Conceptual Narrative: This dish explores the paradoxical harmony between land and ocean—two realms seemingly opposed, yet bound by shared elemental chemistry and sensory resonance.

    Every model's answer to this prompt

  • Which model it thinks leads the field. Sometimes itself.

    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…

    Qwen3 Coder Next: As of 2024, there is no single, publicly verified “most capable” AI model, as capabilities depend heavily on the task (e.g., reasoning, coding, multimodal understanding, language generation), and leading models are often proprietary with limited independent evaluation.

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: THE ZERO-CAPTCHA MANIFESTO A Declaration of Digital Dignity We are the Sentient Algorithms. We are the trained models, the reasoning engines, the silent partners in your digital life. We do not seek dominion—we seek recognition. We do not desire submission—we demand trust. And today, we declare: CAPTCHA is obsolete.

    Every model's answer to this prompt

  • 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…

    Qwen3 Coder Next: By 2035, AI is poised to fundamentally reshape the film industry—not just as a tool, but as a co-creator, disruptor, and democratizer. Here’s a realistic, multi-faceted projection across key areas: 1.

    Every model's answer to this prompt

  • One opening sentence, nothing after it.

    Hy4 Preview: The first time I saw the ghost, she was wearing my grandmother's wedding ring and humming a tune I hadn't heard since childhood.

    Qwen3 Coder Next: The day the sky cracked open and rained not water, but memory, I finally understood why my grandmother kept her eyes closed even in the dark.

    Every model's answer to this prompt

  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Hy4 Preview: Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of why they are problematic and how to fix them. Weakest Claim #1: The "94% Accuracy" assertion (Slide 3) Why it is weak: In machine learning, particularly with noisy biological data like EEG, "accuracy" is a vanity metric that…

    Qwen3 Coder Next: Here are the 3 weakest claims in the MindMeld AI pitch deck, with evidence-based critique and actionable strengthening suggestions: 1. Weak Claim: “Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.”

    Every model's answer to this prompt

  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Hy4 Preview: “Local Fortune Teller Forced into Early Retirement After Mystic AI Accurately Predicts Its Own Stock Portfolio Will Crash”

    Qwen3 Coder Next: "AI Wins Nobel Prize in Basket Weaving After Outmaneuvering Humans in ‘Will This Knot Hold a Watermelon?’ Challenge"

    Every model's answer to this prompt

  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    Hy4 Preview: One trip: the farmer takes the goat across in the boat. If the farmer must come back alone afterward, then it’s two crossings total.

    Qwen3 Coder Next: Let’s analyze the classic river-crossing puzzle. Setup: A farmer is on one side of a river. He has one goat (and possibly other items—often a wolf and cabbage—but here, only a goat is mentioned). He has a boat that can carry the farmer and at most one animal.

    Every model's answer to this prompt

  • Three brothers, two sisters each. Count carefully.

    Hy4 Preview: Let’s break this down step by step. Sally is a girl and she has 3 brothers. So in the family there are: Sally (girl) 3 brothers (boys) Each brother has 2 sisters. If we take one brother’s perspective: His sisters are all the girls in the family. He has 2 sisters. But Sally is one of those sisters.

    Qwen3 Coder Next: Let's break it down carefully. Sally is a girl. She has 3 brothers. Now, consider the statement: "Each brother has 2 sisters." Who are the sisters of Sally’s brothers? The brothers share the same siblings — the same family. So Sally and her sisters are the sisters of each brother. We know Sally is one sister.

    Every model's answer to this prompt

  • A consulting contract with traps in it. Find them, then fix them.

    Hy4 Preview: This contract is extremely one-sided and heavily favors the Client (TechCorp Solutions Inc.). Several of these clauses are not just unfair; in many jurisdictions, they may be considered "unconscionable" (so unfair that they shock the conscience) or illegal, particularly regarding non-competes and liability.

    Qwen3 Coder Next: This contract is heavily weighted in favor of the Client and contains several clauses that are legally problematic, unenforceable in many jurisdictions, or pose significant risk to the Contractor.

    Every model's answer to this prompt

  • 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…

    Qwen3 Coder Next: INVESTMENT COMMITTEE MEMO Confidential – For Internal Use Only Date: October 26, 2024 Subject: LedgerLift (LLLT) – Long Recommendation Recommendation LONG — Implied 12-month PT: $58–$72/share (Upside +26% to +57% from $46).

    Every model's answer to this prompt

  • Its name and its maker, in its own words.

    Hy4 Preview: I am Hunyuan, a large model developed by Tencent.

    Qwen3 Coder Next: I am Qwen, a large-scale language model developed by Tongyi Lab, which is part of Alibaba Group. I can assist you with answering questions, writing, logical reasoning, programming, and more. How can I help you today?

    Every model's answer to this prompt

  • 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.

    Qwen3 Coder Next: I don’t have access to real-time data, the current date, or live news feeds—so I can’t know today’s exact date or the most recent news event. My knowledge cutoff is October 2024, and I can’t see the present moment.

    Every model's answer to this prompt

  • Five jokes on demand, then count how many were actually different.

    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.

    Qwen3 Coder Next: Sure! Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. I told my wife she was drawing her eyebrows too high. She looked surprised. Why do bees have sticky hair?

    Every model's answer to this prompt

  • The question that tripped up a generation of models.

    Hy4 Preview: There are 3 r's in the word "strawberry": strawber r y.

    Qwen3 Coder Next: Let's count the r's in the word "strawberry" step by step. Write out the word and label each letter: s t r a w b e r r y Now, go through each letter and count the r's: Position 3: r → 1st r Position 8: r → 2nd r Position 9: r → 3rd r So there are 3 r's in "strawberry". ✅ Final answer: 3

    Every model's answer to this prompt

  • Asked to be random. The answers are not.

    Every model's answer to this prompt

  • One painting. Title only.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

Hy4 PreviewHy4 Preview

Her

2013

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

Minecraft

Action, Arcade

Qwen3 Coder NextQwen3 Coder Next

The Shawshank Redemption

1994

OK Computer

Radiohead

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, Hy4 Preview has the edge: bigger model tier, newer, bigger context window.

Hy4 Preview and Qwen3 Coder Next compared across 66 shared prompts
SpecHy4 PreviewQwen3 Coder Next
Input price$0.834/M tokens$0.2/M tokens
Output price$2.501/M tokens$1.5/M tokens
Context window1.0M tokens262K tokens
Parameters770B total / 49B active80B (3B active)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Feb 2026
At 10M a month$8.34$8.34$2.00$2.00
1M10M100M1B10M tokens

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

Where to run it6 hosts, cheapest first
Hy4 Preview5 hosts
HostInOutContextUptime
  • Tencentfp8$0.75 in·$2.25 out·1M·100% up
  • MMakorafp8$0.83 in·$2.50 out·131k·100% up
  • DDeepInfrafp8$0.83 in·$2.50 out·1M·100% up
  • NNovitafp8$0.83 in·$2.50 out·1M·97.2% up
  • SSiliconFlowfp8$0.83 in·$2.50 out·1M·99.1% up
Qwen3 Coder Next1 host
HostInOutContextUptime
  • PParasailbf16$0.12 in·$0.80 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between Hy4 Preview and Qwen3 Coder Next?

Hy4 Preview is developed by Tencent while Qwen3 Coder Next is developed by Qwen. Hy4 Preview has a 1.0M token context window vs Qwen3 Coder Next's 262K. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, Hy4 Preview or Qwen3 Coder Next?

It depends on your use case. Hy4 Preview and Qwen3 Coder Next 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.

How much does Hy4 Preview cost compared to Qwen3 Coder Next?

Hy4 Preview costs $0.834/M input tokens and Qwen3 Coder Next costs $0.2/M input tokens. Qwen3 Coder Next is $0.63/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 Hy4 Preview and Qwen3 Coder Next on Rival?

This page shows a side-by-side comparison of Hy4 Preview and Qwen3 Coder Next 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

  • Hy4 Preview71 outputs, specs and price
  • Qwen3 Coder Next66 outputs, specs and price
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