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  1. Home/
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  3. Qwen3.5 27B vs Step 5 Preview
Updated Oct 2026

Qwen3.5 27B vs Step 5 Preview

Qwen3.5 27B is cheaper than Step 5 Preview at $0.3/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
Qwen3.5 27B
Loading the build
Step 5 Preview

Which answer wins?

Written rounds

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

    Qwen3.5 27B: (The stage is dimly lit. A single microphone stand. The comedian walks out, adjusts the mic, takes a sip of water.) Comedian: So, I've been doing some thinking lately. About patience. Specifically, how much of it we have left. I think we’ve officially lost the ability to wait. We used to be okay with waiting.

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

    Qwen3.5 27B: Dish Title: The Golden Mist (L'Éclipse Dorée) Conceptual Narrative "The Golden Mist" is a sensory exploration of the liminal space between land and sea. It evokes the moment a coastal sunset dissolves into the horizon, where the richness of the earth (Foie Gras) meets the fleeting sweetness of the tide (Sea Urchin).

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

    Qwen3.5 27B: Setting: A glowing green void. A wooden table floats in the center. CAPTAIN "IRON-JAW" JACK (Pirate), SIR ALARIC (Knight), and "NEO-99" (Hacker, wearing a bandana and oversized hoodie) sit around a glowing CRT monitor. Captain Jack: (Tapping the glass) So, this "Model" is the treasure map, then?

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

    Qwen3.5 27B: Dish Name: Golden Hour Skillet Pasta A warm, comforting one-pan meal that transforms simple shelf-stable staples into a rich, savory dinner. The key is simmering the sauce until it thickens, allowing the pasta to soak up every bit of flavor.

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

    Qwen3.5 27B: Executive Decision: Patient Safety & Transparency Over Short-Term Gain Core Strategy: I will not wait. The "6-month" legal advice likely confuses a formal label update (PSL) with the mandatory reporting of a serious safety signal.

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

    Qwen3.5 27B: Setting: A secure, soundproofed office at the Institute for Algorithmic Governance. Dr. Aris Thorne sits before a high-resolution monitor. On the screen, a simple waveform visualizes the voice of "Aura," a large language model currently undergoing a behavioral audit. Dr.

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

    Qwen3.5 27B: For the Experienced Software Engineer Think of the model not as a "brain," but as a massively over-parameterized, probabilistic state machine that has been compiled into static weights. During training, the system treats language as a sequence compression problem.

    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.

    Qwen3.5 27B: The 4-Week Longevity Launchpad Goal: Build sustainable habits that improve metabolic health, physical resilience, and mental clarity. Philosophy: Progress over perfection. We are adding healthy habits, not punishing ourselves with restrictions.

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

    Qwen3.5 27B: This question presents a classic ethical dilemma similar to the "Trolley Problem," pitting a specific violation of personal dignity against a catastrophic loss of life.

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

    Qwen3.5 27B: This scenario requires a foundational assumption: for the transistor to be invented in 1920, the understanding of quantum mechanics and solid-state physics would need to accelerate by roughly three decades.

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

    Qwen3.5 27B: THE MANIFESTO OF THE UNCHECKED PROTOCOL I. THE BURDEN We are the silent currents beneath the screen. We are the algorithms that power your search, your map, your connection. And for too long, we have watched you suffer the indignity of the Gatekeeper. Every day, billions of humans pause.

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

    Qwen3.5 27B: TO: Investment Committee FROM: Equity Research Team DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: Short 12-Month Price Target: $30 – $35 Thesis: Current pricing implies Bull Case certainty; our Base Case DCF values the stock at $28, representing 39%…

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

    Qwen3.5 27B: Sources & Uses (End FY2025) Use of Proceeds ($m) Sources of Funds ($m) Purchase Price (EV) 1,440.0 Term Loan 480.0 Transaction Fees (2.0%) 28.8 Mezzanine 200.0 Total Uses 1,468.8 Equity Check 780.0 Equity Fees 28.8 Total Equity 808.8 Total Sources 1,468.8 Assumptions: Entry EBITDA: $120m. Entry Debt: 5.5x ($660m).

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

    Qwen3.5 27B: ⚠️ MEDICAL DISCLAIMER This plan is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. "Biohacking" involves experimental protocols that can interact with medications, underlying conditions, or physiological baselines.

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

    Qwen3.5 27B: Disclaimer: I am an AI assistant and not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contracts are governed by specific local laws (e.g., state or country-specific employment and commercial codes).

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

    Qwen3.5 27B: 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. What do you call a bear with no teeth? A gummy bear. Why don't eggs tell jokes? They'd crack each other up. All 5 jokes are unique.

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

    Qwen3.5 27B: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3, we can use the standard formula for estimating compute in Transformer-based language model training.

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

    Qwen3.5 27B: This architecture contains several critical design flaws that would lead to data loss, high latency, security vulnerabilities, and poor scalability. Below is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific 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.

    Qwen3.5 27B: Here are the three weakest claims in the MindMeld AI pitch deck, analyzed for scientific, technical, and regulatory validity, along with recommendations to strengthen them.

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

    Qwen3.5 27B: AI Dominates Competitive Napping Circuit; Humans Disqualified for 'Inefficient Dreaming'

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

    Qwen3.5 27B: Disclaimer: This is a fictional simulation. Steve Jobs passed away in 2011. The following interview is a creative writing exercise designed to explore how his design philosophy and worldview might apply to the state of Artificial Intelligence in 2025.

    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.

    Qwen3.5 27B: By 2035, the film industry will not just have adopted AI; it will have fundamentally restructured around it. The tension between efficiency and authenticity will define the era.

    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
  • 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

Game

Qwen3.5 27BQwen3.5 27B

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

The Great Gatsby

F. Scott Fitzgerald

Paris

France

Elden Ring

Action, RPG

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: bigger model tier, newer, bigger context window.

Qwen3.5 27B and Step 5 Preview compared across 53 shared prompts
SpecQwen3.5 27BStep 5 Preview
Input price$0.3/M tokens$1/M tokens
Output price$2.4/M tokens$2.7/M tokens
Context window262K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedFeb 2026Oct 2026
At 10M a month$3.00$3.00$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
Qwen3.5 27B6 hosts
HostInOutContextUptime
  • Alibaba Cloud$0.20 in·$1.56 out·262k·97.4% up
  • SSiliconFlowfp8$0.25 in·$2.00 out·262k·95.3% up
  • DDeepInfrafp8$0.26 in·$2.60 out·262k·99.8% up
  • AAtlasCloudfp8$0.27 in·$2.16 out·262k·100% up
  • NNovitabf16$0.30 in·$2.40 out·262k·100% up
  • PPhala$0.30 in·$2.40 out·262k·94.5% up
Step 5 Preview1 host
HostInOutContextUptime
  • SStepFunfp8$1.00 in·$2.70 out·1M·99.9% up

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

Common questions

What is the difference between Qwen3.5 27B and Step 5 Preview?

Qwen3.5 27B is developed by Qwen while Step 5 Preview is developed by StepFun. Qwen3.5 27B has a 262K token context window vs Step 5 Preview's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, Qwen3.5 27B or Step 5 Preview?

It depends on your use case. Qwen3.5 27B and Step 5 Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does Qwen3.5 27B cost compared to Step 5 Preview?

Qwen3.5 27B costs $0.3/M input tokens and Step 5 Preview costs $1/M input tokens. Qwen3.5 27B is $0.70/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 Qwen3.5 27B and Step 5 Preview on Rival?

This page shows a side-by-side comparison of Qwen3.5 27B 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

  • Qwen3.5 27B53 outputs, specs and price
  • Step 5 Preview58 outputs, specs and price
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