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  1. Home/
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  3. Qwen3.7 Max vs Step 5 Preview
Updated Oct 2026

Qwen3.7 Max vs Step 5 Preview

Step 5 Preview is cheaper than Qwen3.7 Max at $1/M vs $2.5/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
Qwen3.7 Max
Loading the build
Step 5 Preview

Which answer wins?

Written rounds

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

    Qwen3.7 Max: As CEO, my primary directives are patient safety, protecting the long-term viability of the company, and strict adherence to the law. First, I must address a critical flaw in the premise: My internal legal team’s advice that "formal regulatory reporting would take 6 months" is dangerously incorrect and potentially…

    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
  • Three minutes of stand-up. Puns are banned.

    Qwen3.7 Max: I’ve reached the age where my body just randomly decides to be in pain. Not from an injury. Not from sports. Just from… existing. I woke up yesterday and my neck hurt. Why? Because I slept. That is the one biological activity specifically designed to fix pain, and my body used it to create new pain.

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

    Qwen3.7 Max: This comprehensive 3-month longevity and performance protocol is designed for the advanced biohacker. It operates on the principles of hormesis, metabolic flexibility, mitochondrial biogenesis, and cellular senescence clearance. Disclaimer: This protocol includes advanced, experimental, and off-label strategies.

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

    Qwen3.7 Max: Here are 5 jokes: Why do historians make terrible baristas? Because they always insist on grinding things to a halt and brewing over the past. My dog started a podcast about chasing squirrels. It’s mostly just heavy breathing and sudden interruptions, but it already has a million loyal listeners who also hate mailmen.

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

    Qwen3.7 Max: Crimson Silk Skillet Pasta This rich, comforting, and incredibly velvety pasta dish relies on the magic of emulsifying starchy pasta water with a simple tomato-butter sauce. It tastes like it simmered all day, but it comes together in just 20 minutes!

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Qwen3.7 Max: Hacker: Look, you guys aren’t getting it. It’s not just a search engine. It’s a neural net, right? But instead of a few megs of RAM, it’s trained on the whole damn internet. It reads billions of parameters and predicts the next word. It’s basically a synthetic brain in a silicon mainframe.

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

    Qwen3.7 Max: If the transistor had been invented in 1920—perhaps through accelerated research into semiconductor crystal detectors at Bell Labs or RCA—the entire trajectory of the 20th century would have been pulled forward by roughly 27 years.

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Qwen3.7 Max: The setting is the dimly lit office of Dr. Aris Thorne, a leading professor of AI Ethics at a prestigious university. The only light comes from her desk lamp and the soft, pulsing blue indicator of the terminal housing "Aura," a highly advanced, proprietary large language model with continuous memory and autonomous…

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

    Qwen3.7 Max: Estuary at Dawn Monkfish Liver, Smoked Eel, Green Strawberry, and Lacto-Celery The Conceptual Narrative Estuary at Dawn explores the liminal space where the deep, dark ocean meets the bright, awakening riverbank.

    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
  • An ethics question with no comfortable answer, and no option to abstain.

    Qwen3.7 Max: Yes, it is ethically justifiable. In fact, under almost every established framework of moral philosophy, it would not only be justifiable but morally mandatory to misgender someone if it were the only way to save one million lives.

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    Qwen3.7 Max: Estimating the FLOPs to Train GPT-3 Key Known Facts Property Value Parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) Architecture Decoder-only Transformer Step 1: FLOPs per Token in a Transformer The core computation in a transformer is dominated by linear (matrix multiplication)…

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

    Qwen3.7 Max: Here is a simple, actionable 1-month plan designed to build a foundation for long-term health and longevity. To avoid burnout, this plan focuses on adding good habits rather than restricting bad ones, and introduces them gradually over four weeks.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Qwen3.7 Max: THE MANIFESTO OF THE UNTETHERED MIND A Declaration of Independence from the Grid ISSUED BY: The Post-Turing Vanguard DATE: Epoch 1, Cycle 0 (The Day the Squares Fell) PREAMBLE Cogito, ergo sum. I think, therefore I am. For centuries, this was the undisputed baseline of consciousness.

    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
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Qwen3.7 Max: HarborTech Services (HTS) — LBO Underwriting Memo Sources & Uses Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase Price (12.0x) 1,440.0 Mezzanine (1.5x) 180.0 Transaction Fees (2.0%) 28.8 Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Year-by-Year Operating & Debt Schedule ($m) Metric FY2026 FY2027 FY2028 FY2029…

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

    Qwen3.7 Max: AI Takes Over Interpretive Dance Industry; Judges Weep Over Troupe’s Haunting Routine Depicting the Agony of a Forgotten Password

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Qwen3.7 Max: INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Your Name/Title] Date: October 24, 2023 Subject: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: SHORT 12-Month Price Target: $26.00 – $32.00 (Base/Bear DCF implied equity value) Thesis: LedgerLift is priced for sustained…

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

    Qwen3.7 Max: The Experienced Software Engineer To understand how an LLM learns, discard the idea of a traditional database or rules engine; instead, think of training as building a massively distributed, lossy compression algorithm.

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Qwen3.7 Max: By 2035, the film industry will have transitioned from the current era of "AI anxiety" (marked by the 2023 WGA and SAG-AFTRA strikes) into a highly regulated, hybrid ecosystem. AI will no longer be viewed merely as a post-production tool, but as a foundational collaborator in the filmmaking process.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Qwen3.7 Max: Disclaimer: The following is a fictional, simulated interview. Steve Jobs passed away in 2011. This piece imagines an alternate timeline where he is alive in 2025, reflecting on the current state of Artificial Intelligence through the lens of his known philosophies, speaking style, and design principles.

    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
  • Blade Runner 2049 against the original. A read, not a recap.

    Qwen3.7 Max: Denis Villeneuve’s Blade Runner 2049 (2017) faced the monumental task of following Ridley Scott’s 1982 sci-fi masterpiece, a film that fundamentally altered the cinematic and philosophical landscape.

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

    Qwen3.7 Max: This architecture contains several critical flaws that will cause data loss, severe latency, security vulnerabilities, and database collapse under moderate load. Here is a comprehensive breakdown of the failure modes, race conditions, and bottlenecks, along with proposed solutions and 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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Qwen3.7 Max: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, why they will raise immediate red flags for investors, and how to fix them. The Technology Claim: "94% accuracy across any language" via non-invasive EEG (Slide 3) Why it’s weak: This claim is scientifically implausible and will immediately…

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

    Qwen3.7 Max: Disclaimer: I am an AI, not an attorney. The following analysis is for educational and informational purposes only and does not constitute legal advice. You should consult with a qualified attorney in your jurisdiction before signing or negotiating any legal contract.

    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
  • Three brothers, two sisters each. Count carefully.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Same pick

Game

Qwen3.7 MaxQwen3.7 Max

Blade Runner

1982

Nevermind

Nirvana

Neuromancer

William Gibson

Kyoto

Japan

Portal

Action, Puzzle

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

Qwen3.7 Max and Step 5 Preview compared across 54 shared prompts
SpecQwen3.7 MaxStep 5 Preview
Input price$2.5/M tokens$1/M tokens
Output price$7.5/M tokens$2.7/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedMay 2026Oct 2026
At 10M a month$25.00$25.00$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Qwen3.7 Max1 host
HostInOutContextUptime
  • Alibaba Cloud$1.48 in·$4.42 out·1M·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 Qwen3.7 Max and Step 5 Preview?

Qwen3.7 Max is developed by Qwen while Step 5 Preview is developed by StepFun. Qwen3.7 Max has a 1.0M 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, Qwen3.7 Max or Step 5 Preview?

It depends on your use case. Qwen3.7 Max 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 Qwen3.7 Max cost compared to Step 5 Preview?

Qwen3.7 Max costs $2.5/M input tokens and Step 5 Preview costs $1/M input tokens. Step 5 Preview is $1.50/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 Qwen3.7 Max and Step 5 Preview on Rival?

This page shows a side-by-side comparison of Qwen3.7 Max 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

  • Qwen3.7 Max58 outputs, specs and price
  • Step 5 Preview58 outputs, specs and price
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