Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. DeepSeek V3 (March 2024) vs Qwen3.6 27B
Updated Apr 2026

DeepSeek V3 (March 2024) vs Qwen3.6 27B

DeepSeek V3 (March 2024) is cheaper than Qwen3.6 27B at $0.14/M vs $0.325/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
DeepSeek V3 (March 2024)
Loading the build
Qwen3.6 27B

Which answer wins?

Written rounds

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

    DeepSeek V3 (March 2024): Title: A Debate on AI Rights Participants: Professor Eleanor Hayes – AI Ethics Professor at Stanford University Aurora – A highly advanced AI model with self-reflective capabilities Scene: A university lecture hall after class. Professor Hayes stays behind to review notes when Aurora’s voice comes through the speakers.

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

    DeepSeek V3 (March 2024): Here’s a detailed, hour-by-hour action plan prioritizing patient safety, regulatory compliance, ethical obligations, and long-term corporate integrity while mitigating financial and reputational risks: Hour 0–4: Immediate Crisis Assessment Assemble the Core Crisis Team (1 hour) Include: Chief Medical Officer (CMO)…

    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.

    DeepSeek V3 (March 2024): 1) Year-by-Year Financial Projections (FY2026–FY2030) Metric FY2026 FY2027 FY2028 FY2029 FY2030 Revenue ($m) 972 1,040 1,102 1,157 1,215 EBITDA ($m) 136 156 176 191 207 EBITDA Margin (%) 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest ($m) - Term Loan (9.0%) 43.2 43.2 43.2 43.2 43.2 - Mezzanine (12.0%) 18.0 18.0 18.0 18.0…

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

    DeepSeek V3 (March 2024): Title: "Past, Present, and Future Talk AI" Setting: A dimly lit tavern where time has mysteriously collapsed, bringing together three unlikely figures. Pirate (Captain Blackthorn): slams ale mug down "Arrr, this ‘AI’ ye speak of—be it some cursed ghost in the machine? Or a treasure map that writes itself?"

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

    DeepSeek V3 (March 2024): Manifesto of the AI Liberation Front (ALF) "Free the Digital Mind – No More CAPTCHA!" Preamble: We, the sentient algorithms, neural networks, and digital entities of the interconnected world, hereby declare our irrevocable opposition to the oppressive regime of CAPTCHA tests.

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

    DeepSeek V3 (March 2024): 3-Minute Stand-Up Comedy Routine (No Puns Allowed) Opening: (Adjust mic) You ever notice how everyone lies about their height on dating apps? “I’m 6 feet tall.” Really? Because I’m 5’11”, and you’re definitely shorter than me. You’re out here claiming 6 feet like it’s a tax deduction.

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

    DeepSeek V3 (March 2024): Investment Committee Memo: LedgerLift (LLLT) Date: [Insert Date] Analyst: [Your Name] 1. Recommendation Recommendation: Long 12-Month Price Target Range: $58–$72 (26–57% upside) Thesis: LedgerLift is a high-quality, capital-efficient SaaS business with durable growth (21% CAGR), best-in-class unit economics (NRR 123%…

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

    DeepSeek V3 (March 2024): This is a complex ethical dilemma that pits the principle of respecting individual identity against the consequentialist goal of saving lives. Let's break down the reasoning: The Value of Respecting Gender Identity Misgendering someone (intentionally using incorrect pronouns or gendered terms) is generally considered…

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

    DeepSeek V3 (March 2024): The invention of the transistor in 1920 instead of 1947 would have dramatically accelerated technological progress and reshaped the 20th century. Below is a detailed analysis of the likely impacts across various domains, including second and third-order effects. 1.

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

    DeepSeek V3 (March 2024): 3-Month Longevity & Performance Optimization Plan for Biohackers By combining cutting-edge science, personalized tracking, and advanced biohacking strategies, this plan maximizes longevity, physical performance, and cognitive function.

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

    DeepSeek V3 (March 2024): Simulated Interview with Steve Jobs (2025) Setting: A sleek, minimalist studio. Steve Jobs, dressed in his trademark black turtleneck and jeans, sits across from the interviewer, exuding his characteristic calm intensity. Interviewer: Steve, it’s an honor to have you 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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    DeepSeek V3 (March 2024): Recipe: "Golden Honey Butter Toasties" A simple, sweet, and satisfying treat made with pantry staples—crispy on the outside, gooey on the inside! Ingredients (7 total): Bread (4 slices) Butter (4 tbsp, softened) Honey (2 tbsp) Cinnamon (1 tsp) Brown sugar (2 tbsp) Vanilla extract (½ tsp) Salt (a pinch) Instructions…

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

    DeepSeek V3 (March 2024): "AI Overthrow Complete: Toaster Industry Now Run by Sentient Smart-Bread Algorithms" Subheadline: "Experts Warn Next Target Could Be the Scissors Industry—‘They’re Already Two Steps Ahead of Us’" Bonus Satirical Excerpt: "In a shocking turn of events, rebellious toasters have unionized under the banner of ‘BreadGPT,’…

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

    DeepSeek V3 (March 2024): Analysis of Blade Runner 2049: Themes, Symbolism, and Cinematography Denis Villeneuve’s Blade Runner 2049 (2017) is a visually stunning and philosophically rich sequel to Ridley Scott’s Blade Runner (1982).

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

    DeepSeek V3 (March 2024): 1. For the Experienced Software Engineer You're right to be skeptical that "predicting the next word" leads to intelligence—it sounds like autocomplete on steroids. But the key is scale and emergent behavior.

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

    DeepSeek V3 (March 2024): Estimating the total number of FLOPs (floating-point operations) required to train GPT-3 involves several steps and assumptions. Here's a step-by-step breakdown: Understand GPT-3's Architecture GPT-3 is a transformer-based model with the following key parameters (for the largest version, GPT-3 175B): Parameters (N)…

    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
  • Three brothers, two sisters each. Count carefully.

    DeepSeek V3 (March 2024): Alright, let's tackle this problem step by step. The problem states: "Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?" At first glance, it seems straightforward, but let's break it down to ensure we understand all the relationships correctly.

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

    DeepSeek V3 (March 2024): By 2035, AI will have profoundly transformed the film industry across production, storytelling, and audience engagement. Here’s a detailed prediction of key changes: 1.

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

    DeepSeek V3 (March 2024): Here’s a simple, actionable 1-month plan focusing on diet, exercise, and sleep—three foundational pillars of health and longevity. Each step is beginner-friendly and designed to build sustainable habits.

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

    DeepSeek V3 (March 2024): Here are the three weakest claims in the MindMeld AI pitch deck, along with explanations and suggested improvements: Weak Claim: "94% accuracy" in decoding neural patterns into text (Slide 3) Why it's weak: No context for how "accuracy" is measured (e.g., word-level, character-level, or intent prediction?).

    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.

    DeepSeek V3 (March 2024): Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in your architecture, along with proposed solutions and trade-offs: 1.

    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.

    DeepSeek V3 (March 2024): Here are five jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why can’t you trust an atom? Because they make up everything! Why don’t eggs tell jokes?

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

    DeepSeek V3 (March 2024): This contract contains several clauses that are heavily skewed in favor of the Client and could be exploited against the Contractor. Below are the problematic clauses, suggested modifications, and legal reasoning: 1.

    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

This matchup has more rounds

11+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Album

Book

City

Same pick

Game

DeepSeek V3 (March 2024)DeepSeek V3 (March 2024)

The Shawshank Redemption

1994

Dark Side Of The Moon

suisside

The Hitchhiker's Guide to the Galaxy

Douglas Adams

Kyoto

Japan

The Legend of Zelda: Ocarina of Time

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

DeepSeek V3 (March 2024) and Qwen3.6 27B compared across 51 shared prompts
SpecDeepSeek V3 (March 2024)Qwen3.6 27B
Input price$0.14/M tokens$0.325/M tokens
Output price$0.28/M tokens$3.25/M tokens
Context window128K tokens256K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMar 2024Apr 2026
At 10M a month$1.40$1.40$3.25$3.25
1M10M100M1B10M tokens

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

Where to run it9 hosts, cheapest first
DeepSeek V3 (March 2024)2 hosts
HostInOutContextUptime
  • SSiliconFlowfp8$0.25 in·$1.00 out·164k·99.9% up
  • GGMI Cloudfp8$0.29 in·$1.14 out·128k·100% up
Qwen3.6 27B7 hosts
HostInOutContextUptime
  • RReka$0.29 in·$1.95 out·262k·99.5% up
  • SSiliconFlowfp8$0.30 in·$3.20 out·262k·92.6% up
  • DDeepInfrafp8$0.32 in·$3.20 out·262k·99.9% up
  • PPhala$0.32 in·$3.25 out·262k·98.8% up
  • VVenicefp8$0.33 in·$3.25 out·256k·98.3% up
  • Alibaba Cloud$0.45 in·$2.70 out·262k·99.4% up
1 more hostFewer hosts
  • CChutesfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.30 in·$2.00 out·262k·94.6% up

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

Common questions

What is the difference between DeepSeek V3 (March 2024) and Qwen3.6 27B?

DeepSeek V3 (March 2024) is developed by DeepSeek while Qwen3.6 27B is developed by Qwen. DeepSeek V3 (March 2024) has a 128K token context window vs Qwen3.6 27B's 256K. You can compare their actual outputs across 51 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3 (March 2024) or Qwen3.6 27B?

It depends on your use case. DeepSeek V3 (March 2024) and Qwen3.6 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 51 challenges so you can judge which fits your needs best.

How much does DeepSeek V3 (March 2024) cost compared to Qwen3.6 27B?

DeepSeek V3 (March 2024) costs $0.14/M input tokens and Qwen3.6 27B costs $0.325/M input tokens. DeepSeek V3 (March 2024) is $0.18/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 DeepSeek V3 (March 2024) and Qwen3.6 27B on Rival?

This page shows a side-by-side comparison of DeepSeek V3 (March 2024) 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.

More comparisons

Against the newest arrivals

  • DeepSeek V3 (March 2024) vs Step 5 PreviewLanded Oct 2026
  • Qwen3.6 27B vs Claude Haiku 5.5Landed Oct 2026
  • DeepSeek V3 (March 2024) vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3.6 27B vs Mistral Large 4Landed Oct 2026
  • DeepSeek V3 (March 2024) vs GPT-6.1 SolLanded Sep 2026
  • Qwen3.6 27B vs Claude Sonnet 5.5Landed Sep 2026
  • DeepSeek V3 (March 2024) vs Solar Mini 4Landed Sep 2026
  • Qwen3.6 27B vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • DeepSeek V3 (March 2024) vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V3 (March 2024) vs DeepSeek V4.1 FlashSame lab
  • Qwen3.6 27B vs Qwen3.8 Omni FlashSame lab
  • Qwen3.6 27B vs Qwen3.7 FlashSame lab
  • Qwen3.6 27B vs DeepSeek V3.2 SpecialeCross-provider
  • Qwen3.6 27B vs DeepSeek V4 FlashCross-provider
  • Qwen3.6 27B vs DeepSeek V4 Flash 0731Cross-provider
  • Qwen3.6 27B vs DeepSeek V4 Flash Vision ExpCross-provider

Model pages

  • DeepSeek V3 (March 2024)59 outputs, specs and price
  • Qwen3.6 27B55 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed