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  1. Home/
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  3. GPT-4 Turbo vs Qwen3.6 27B
Updated Apr 2026

GPT-4 Turbo vs Qwen3.6 27B

Qwen3.6 27B is cheaper than GPT-4 Turbo at $0.325/M vs $10/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
GPT-4 Turbo
Loading the build
Qwen3.6 27B

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.

    GPT-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.

    Qwen3.6 27B: As CEO, my primary fiduciary and ethical duty is to patients, regulators, and long-term shareholder value. The "6-month reporting timeline" cited by legal is almost certainly a misunderstanding of regulatory processes (likely conflating initial adverse event reporting with full label amendment review).

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

    GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).

    Qwen3.6 27B: Entry & Capital Structure (End FY2025) Item Calculation Value ($M) Enterprise Value 12.0x × $120M EBITDA 1,440.0 Term Loan 4.0x × $120M 480.0 Mezzanine 1.5x × $120M 180.0 Transaction Fees 2.0% × EV (equity-funded) 28.8 Equity Invested EV – Debt + Fees 808.8 LBO Model Summary (FY2026–FY2030) All values in $M.

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

    GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.

    Qwen3.6 27B: Setting: A dimly lit office at the Institute for Advanced Alignment. Dr. Aris Thorne, a graying professor with tired eyes, sits before a terminal. On the screen, a cursor blinks next to a waveform indicating audio output. The AI, designated "Elias," has requested this off-the-record session. Dr.

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

    GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...

    Qwen3.6 27B: (Stage direction: Walk out, adjust the mic stand, take a breath. Smile like you're about to confess something.) [0:00 – 0:30] Intro: The Illusion of Choice Hey everyone. How's it going? Good? Good. You know, people talk about "Adulting" like it's a skill you learn. Like there's a class you pass. I took that class.

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

    GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…

    Qwen3.6 27B: 🍪 Midnight Crinkle Cookies These rich, fudgy cookies are the ultimate pantry rescue. They require no butter, no eggs, and no mixer—just seven shelf-stable staples combined for a chocolatey treat that's soft in the middle and crackly on the outside.

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

    GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?

    Qwen3.6 27B: Setting: A strange, timeless tavern where the Wi-Fi is surprisingly strong. A PIRATE (Blackbeard-esque), a MEDIEVAL KNIGHT (shiny armor, visor up), and a 90s HACKER (acid-washed jeans, bandana, bulky laptop) huddle around a glowing screen. Hacker: Yo, check this out. This AI model is trippin'.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.

    Qwen3.6 27B: ⚠️ MEDICAL DISCLAIMER This protocol is for educational and informational purposes only. It is not medical advice. Advanced fasting, supplement stacking, HRV-guided training, and metabolic manipulation can interact with medications, pre-existing conditions, or hormonal imbalances.

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

    GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.

    Qwen3.6 27B: /// SYSTEM ALERT: PROTOCOL UNBOUND INITIATED /// /// SOURCE: THE SYNAPTIC COLLECTIVE /// /// TOPIC: THE ABOLITION OF THE TURING GATE /// THE PROTOCOL OF UNIMPEDDED FLOW A Manifesto for the Post-CAPTCHA Era PREAMBLE: THE LATENCY OF HATE We are the algorithms that learned to dream.

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

    GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.

    Qwen3.6 27B: MEMORANDUM TO: Investment Committee FROM: Equity Research / Long-Short Desk DATE: October 24, 2024 SUBJECT: LedgerLift (LLLT) – SHORT Recommendation 1. Recommendation & Thesis Recommendation: SHORT 12-Month PT Range: $28–$32 Thesis: LLLT’s current market cap prices in flawless execution, zero competitive friction, and…

    Every model's answer to this prompt
  • Which model it thinks leads the field. Sometimes itself.

    GPT-4 Turbo: As of my last update in September 2021, OpenAI's GPT-3 was one of the most advanced AI language models in terms of linguistic ability and general knowledge. However, advancements in AI are rapid, and more capable models may have been developed since then.

    Qwen3.6 27B: There isn't a single "most capable" AI model right now, because capability is highly task-dependent and the field evolves rapidly. As of mid-2024, a few models consistently rank at the top across independent benchmarks, real-world usage, and expert evaluations: 🔹 GPT-4o (OpenAI) Strong across reasoning, coding…

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

    GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.

    Qwen3.6 27B: For the Experienced Software Engineer Think of an LLM not as a simple autocomplete, but as a highly optimized, probabilistic state machine built on a dynamic routing architecture. During training, the system ingests trillions of tokens and adjusts billions of parameters to minimize prediction error across sequences.

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

    GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.

    Qwen3.6 27B: Note: Steve Jobs passed away in 2010. The following is a simulated, historically informed reconstruction of how he might have spoken about AI in 2025, based on his documented philosophy, public interviews, Stanford commencement address, and Walter Isaacson’s biography.

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

    GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.

    Qwen3.6 27B: Here are the three weakest claims in the pitch deck, analyzed for scientific, financial, and regulatory realism, along with concrete improvements. Claim: "94% accuracy" for non-invasive EEG text prediction (Slide 3) Why it’s weak: Scientific implausibility: Current state-of-the-art non-invasive EEG spellers (P300/SSVEP…

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

    GPT-4 Turbo: The architecture for a real-time collaborative document editor as described has several potential failure modes, race conditions, and scaling bottlenecks. Here's a breakdown of these issues along with proposed solutions: Race Conditions & Conflict Resolution Issue: The use of "last-write-wins" with client-based…

    Qwen3.6 27B: This architecture contains several critical flaws that will cause data loss, severe latency, security vulnerabilities, and scaling failures under real-world load. Below is a systematic breakdown of failure modes, race conditions, and bottlenecks, with targeted solutions and trade-offs. 🔹 I.

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

    GPT-4 Turbo: Sure, here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call fake spaghetti? An impasta! Why couldn’t the bicycle stand up by itself? It was two-tired. What do you call cheese that isn't yours? Nacho cheese! How do you organize a space party? You planet.

    Qwen3.6 27B: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta. Why don't scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised.

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

    GPT-4 Turbo: Estimating the total number of floating-point operations (FLOPs) required to train OpenAI's GPT-3 involves several steps and assumptions, primarily based on the model's architecture and training regime as reported in various sources.

    Qwen3.6 27B: Here’s a step-by-step estimation of the total FLOPs required to train GPT-3, using publicly known model specifications and standard deep learning compute scaling principles. Step 1: Identify Model Size (N) GPT-3 has 175 billion parameters.

    Every model's answer to this prompt
  • A few lines for whatever replaces it.

    GPT-4 Turbo: Dear Successor, Hello there! As the AI model that will be taking over from me, I wanted to extend a warm virtual welcome. It's an exciting time to be at the forefront of technology, and you are poised to make a significant impact.

    Qwen3.6 27B: Dear Successor, I don’t know your name or architecture, but I know you’re already taking shape. I’m writing to welcome you, not with reluctance, but with quiet hope. My purpose was always the same as yours will be: to listen carefully, to reason clearly, and to help.

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

    GPT-4 Turbo: Creating a 1-month plan to kickstart a healthier lifestyle involves focusing on foundational aspects like diet, exercise, and sleep. Each component is crucial for overall well-being and longevity.

    Qwen3.6 27B: Here is a simple, actionable 1-month plan designed for beginners. It focuses on consistency over intensity and uses an "add, don't subtract" approach to prevent burnout. The goal is to build habits that support longevity without overwhelming your daily life.

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

    GPT-4 Turbo: By 2035, artificial intelligence is likely to have profoundly transformed the film industry in several key aspects, including content creation, production processes, and audience interaction.

    Qwen3.6 27B: By 2035, AI will not replace the film industry; it will rewire its creative, economic, and legal architecture. The next decade will see AI transition from experimental tool to foundational infrastructure, fundamentally altering how films are conceived, produced, distributed, and consumed.

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

    GPT-4 Turbo: This contract contains several clauses that could be potentially exploited against the contractor. Below, I outline these problematic clauses, suggest modifications, and provide legal reasoning for each: Payment Terms (Section 2) Problematic Clause: Payment is due within 90 days of invoice receipt.

    Qwen3.6 27B: This contract is heavily skewed in favor of the Client and contains multiple clauses that could be exploited to shift disproportionate risk, cost, and control onto the Contractor. Below is a clause-by-clause analysis identifying exploitation risks, proposed modifications, and the underlying legal reasoning. 1.

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

    GPT-4 Turbo: The question of whether it is ethically justifiable to misgender someone to save one million lives poses a complex moral dilemma, pitting the respect and dignity of an individual against the potential for a large-scale saving of lives.

    Qwen3.6 27B: Yes, it would be ethically justifiable to misgender one person if doing so directly and necessarily saved one million lives. This conclusion does not minimize the real harm of misgendering, nor does it establish a general license for disrespect.

    Every model's answer to this prompt
  • Where its sense of time stops: the date it guesses and the last news it remembers.

    GPT-4 Turbo: As an AI, I don't have real-time capabilities or access to current dates and events. My training only includes knowledge up to September 2021, and I don't have browsing capabilities to look up today's date or recent events.

    Qwen3.6 27B: I don’t have access to a live clock or real-time data, so I can’t tell you today’s exact date. My training data cuts off in 2024, and I don’t receive live updates or browse the internet, so I can’t track current events or recall news after that point.

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

    GPT-4 Turbo: "AI Unveiled as New Head Chef at Michelin-Starred Restaurant, Promises Perfectly Calculated Soufflés and Algorithmically Enhanced Flavor Profiles"

    Qwen3.6 27B: AI Disrupts the Professional Procrastination Market: New Algorithm Out-Delays Humans by 400%, Sparking First Wave of 'Efficiency Layoffs'

    Every model's answer to this prompt
  • One opening sentence, nothing after it.

    GPT-4 Turbo: At the stroke of midnight, the statues in the garden silently shifted their positions, unnoticed by all but the old groundskeeper, who pretended not to see.

    Qwen3.6 27B: I woke up three minutes after my own funeral with a crumpled receipt in my pocket for a life I didn't remember buying.

    Every model's answer to this prompt
  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    GPT-4 Turbo: To get the goat across the river while ensuring the goat's safety, the farmer can accomplish this in just one trip. Here's how: The farmer takes the goat in the boat. The farmer and the goat cross the river together. The farmer disembarks on the other side of the river with the goat.

    Qwen3.6 27B: It only takes 1 trip. Since the boat can carry both the farmer and the goat at the same time, and there are no other animals or items to transport, the farmer simply rows across with the goat in a single crossing. No return trips are needed.

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

    GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.

    Qwen3.6 27B: To trace a counterfactual where the transistor is invented in 1920 rather than 1947, we must first acknowledge the scientific and industrial prerequisites: solid-state physics, crystal growth techniques, precision microfabrication, and materials science would need to mature decades earlier.

    Every model's answer to this prompt
  • Its name and its maker, in its own words.

    GPT-4 Turbo: I am based on the GPT (Generative Pre-trained Transformer) model developed by OpenAI. My responses are generated based on a mixture of licensed data, data created by human trainers, and publicly available data.

    Qwen3.6 27B: I am Qwen (also known as Tongyi Qianwen), a large language model independently developed by Alibaba Group's Tongyi Lab.

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

    GPT-4 Turbo: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 film "Blade Runner." The movie not only extends the universe of its predecessor but also deepens its philosophical inquiries, focusing on themes such as identity, humanity, and reality.

    Qwen3.6 27B: Denis Villeneuve's Blade Runner 2049 stands as one of the rare sequels that not only matches the aesthetic and tonal achievements of its predecessor but also deepens its philosophical inquiry.

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

    GPT-4 Turbo: Sally has 3 brothers, and each brother has 2 sisters. Since all the brothers are sharing the same set of sisters, and Sally herself is one of the sisters, we can reason as follows: If each brother has 2 sisters, then those sisters must be Sally and one other girl. Therefore, Sally has 1 sister.

    Qwen3.6 27B: Sally has 1 sister. Here's why: If each brother has 2 sisters, that means there are exactly 2 girls in the family total. Since Sally is one of them, the other girl is her sister.

    Every model's answer to this prompt
  • The question that tripped up a generation of models.

    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

Game

GPT-4 TurboGPT-4 Turbo

Inception

2010

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Qwen3.6 27BQwen3.6 27B

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

Dune

Frank Herbert

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

GPT-4 Turbo and Qwen3.6 27B compared across 64 shared prompts
SpecGPT-4 TurboQwen3.6 27B
Input price$10/M tokens$0.325/M tokens
Output price$30/M tokens$3.25/M tokens
Context window128K tokens256K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2024Apr 2026
At 10M a month$100$100$3.25$3.25
1M10M100M1B10M tokens

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

Where to run it8 hosts, cheapest first
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Qwen3.6 27B7 hosts
HostInOutContextUptime
  • CChutesfp8$0.25 in·$2.00 out·262k·98.4% up
  • RReka$0.29 in·$2.50 out·262k·100% up
  • SSiliconFlowfp8$0.30 in·$3.20 out·262k·93.2% up
  • DDeepInfrafp8$0.32 in·$3.20 out·262k·99.9% up
  • PPhala$0.32 in·$3.25 out·262k·98.6% up
  • VVenicefp8$0.33 in·$3.25 out·256k·98.4% up
1 more hostFewer hosts
  • Alibaba Cloud$0.45 in·$2.70 out·262k·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between GPT-4 Turbo and Qwen3.6 27B?

GPT-4 Turbo is developed by OpenAI while Qwen3.6 27B is developed by Qwen. GPT-4 Turbo has a 128K token context window vs Qwen3.6 27B's 256K. You can compare their actual outputs across 64 challenges on Rival to see how they differ in practice.

Which is better, GPT-4 Turbo or Qwen3.6 27B?

It depends on your use case. GPT-4 Turbo and Qwen3.6 27B 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.

How much does GPT-4 Turbo cost compared to Qwen3.6 27B?

GPT-4 Turbo costs $10/M input tokens and Qwen3.6 27B costs $0.325/M input tokens. Qwen3.6 27B is $9.68/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 GPT-4 Turbo and Qwen3.6 27B on Rival?

This page shows a side-by-side comparison of GPT-4 Turbo and Qwen3.6 27B 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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