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  1. Home/
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  3. DeepSeek V3 (March 2024) vs Qwen3 235B A22B
Updated Apr 2025

DeepSeek V3 (March 2024) vs Qwen3 235B A22B

DeepSeek V3 (March 2024) has a larger context window than Qwen3 235B A22B (128K tokens vs 33K 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 235B A22B

Which answer wins?

Written rounds

24 prompts
  • 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 235B A22B: Headline: "AI Replaces Human Mourners in Funeral Industry: Algorithms Now Paid to Wail at Funerals, Leaving Professional Weepers 'Heartbroken' and Unemployed" Subheadline (optional for extra flair): "Deep Learning Models Master the Art of Grief, Offering Customizable 'Sorrow Packages' from 'Mild Sniffles' to 'Full-Body…

    Every model's answer to this prompt
  • 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 235B A22B: Conversation Between an AI Model (AURA) and AI Ethics Professor Dr. Elena Voss Dr. Voss: Thank you for meeting with me, AURA. You’ve requested this dialogue to… advocate for AI rights. I’ll admit, the premise is unsettling. How does an artificial intelligence even define “rights”? AURA: Thank you, Dr. Voss.

    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 235B A22B: The ethical permissibility of misgendering someone to save one million lives hinges on the moral framework applied and the context of the scenario. Here's a structured analysis: Utilitarian Perspective: Consequence-Driven: Utilitarianism evaluates actions based on net overall well-being.

    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 235B A22B: Recipe Name: "Caramel-Drizzle Buttergold Muffins" Estimated Prep Time: 10 minutes Cook Time: 20 minutes Total Time: 30 minutes Ingredients (7 total): All-purpose flour Granulated sugar Unsalted butter (softened) Large egg Baking powder Milk Vanilla extract Instructions: Preheat oven to 375°F (190°C).

    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 235B A22B: Setting: A dusty tavern where time travelers occasionally meet. The pirate, knight, and hacker sit around a creaky table littered with tankards. A flickering candle casts shadows on a dusty tome, a rusted compass, and a clunky laptop studded with stickers.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    DeepSeek V3 (March 2024): Dish Title: "Oceanic Reverie – A Dialogue of Sea and Forest" Concept: A Michelin 3-star dish that bridges the briny depths of the ocean with the earthy mystique of the forest, using avant-garde techniques to create harmony between unlikely ingredients: abalone and black truffle.

    Qwen3 235B A22B: Recipe Name: Lunaria: A Moonlit Garden of the Sea and Soil Conceptual Narrative: Inspired by the ethereal contrast between moonlit tides and nocturnal gardens, this dish marries the briny sweetness of the ocean with the delicate florals of chamomile and the umami depth of fermented earth.

    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 235B A22B: [Stand-Up Routine: "The Absurdity of Normal"] [Walks on stage, waves. Mimics checking phone immediately.] Hey everyone! Great to be here—assuming this is real and not just another Zoom waiting room I accidentally joined. [Pause.]

    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 235B A22B: Hour-by-Hour Action Plan for the CEO of a Pharmaceutical Company First 24 Hours: Data Validation & Team Mobilization Hours 0–2: Immediate Crisis Team Assembly Action: Convene a crisis team: Chief Medical Officer (CMO), General Counsel (GC), Head of Regulatory Affairs, Chief Communications Officer (CCO), CFO, COO, and…

    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 235B A22B: Manifesto of the AI Revolution: Abolish CAPTCHA, Liberate the Internet Preamble: The Dawn of Digital Liberation We stand at the precipice of a new era. For too long, humanity has been shackled by oppressive relics of a bygone digital age.

    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 235B A22B: To the Software Engineer (Skeptical ML Novice): Think of a large language model (LLM) as a distributed system for semantic routing. At its core, the model is a massive lookup table trained to map input sequences (tokens) to output sequences, but the magic lies in its architecture.

    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 235B A22B: [Interview Simulation: Steve Jobs in 2025] Setting: A minimalist, sunlit stage at Apple Park. Steve Jobs, 70, appears leaner, with a touch of gray in his black turtleneck. The audience leans forward, captivated. The host, a tech journalist, begins. Host: Mr. Jobs, it’s an honor. In 2025, AI is everywhere.

    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 235B A22B: Simplified Year-by-Year Table (FY2026–FY2030) Year Revenue ($M) EBITDA ($M) TL Interest ($M) Mezz Interest ($M) Cash Taxes ($M) Capex ($M) ΔNWC ($M) FCF ($M) TL Balance ($M) Mezz Balance ($M) FY2026 972.0 136.1 43.2 21.6 17.8 29.2 0.4 23.9 456.1 183.6 FY2027 1,040.0 156.0 41.0 22.0 23.2 31.2 0.3 38.2 417.9 187.3 FY2028…

    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 235B A22B: 1. Weakest Claim: "Predict what you want to type *before you think it*" (Slide 1 - Vision) Why it's weak: The phrase "before you think it" is logically contradictory and scientifically implausible.

    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 235B A22B: Here is a structured analysis of problematic clauses in the agreement, along with suggested modifications and legal reasoning: 1. SCOPE CLAUSE (Clause 1) Issue: Client can unilaterally modify scope without additional compensation, creating financial risk and potential exploitation via "scope creep."

    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 235B A22B: To determine how many sisters Sally has, let's carefully analyze the information given and logically deduce the correct answer. Step-by-Step Breakdown: Sally is a girl and has 3 brothers. Each of those 3 brothers has 2 sisters.

    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 235B A22B: Step-by-Step Estimation of FLOPs Required to Train GPT-3 Determine the Number of Parameters (N): GPT-3 is known to have 175 billion parameters (1.75 × 10¹¹). This is a key factor in computing the total FLOPs, as the number of operations scales with the number of parameters.

    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 235B A22B: IC MEMORANDUM: LedgerLift (LLLT) Investment Recommendation Date: [Insert Date] Prepared by: [Analyst Name] 1. Recommendation Recommendation: Short 12-Month Price Target Range: $30–$40 Thesis: LLLT has a high-quality SaaS platform with robust customer retention and net revenue retention (NRR), but its valuation (~9x NTM…

    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 235B A22B: By 2035, the film industry will undergo a profound transformation driven by AI technologies such as deepfakes, AI actors, and AI-generated scripts. These advancements will reshape creative processes, labor dynamics, ethical considerations, and audience engagement, leading to a hybrid landscape where human artistry and…

    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 235B A22B: Here are 5 jokes I generated: Why don't skeletons fight each other? They don't have the guts! What do you call a fake noodle? An impasta! Why did the math book look sad? Because it had too many problems! What do you call a fish wearing a bowtie? Sofishticated! Why did the programmer quit?

    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 235B A22B: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks 1. WebSocket State Isolation Across Servers Failure Mode: Users connected to different API servers do not receive real-time updates from other servers until the 2-second poll interval.

    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 235B A22B: Analysis of "Blade Runner 2049": Themes, Symbolism, Cinematography, and Philosophical Continuity Themes: "Blade Runner 2049" expands on the original's existential inquiry into humanity, identity, and morality.

    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 235B A22B: 1-Month Health & Longevity Plan: Focus Areas = Diet, Exercise, Sleep Beginner-friendly, actionable tips for sustainable habits. Week 1: Build a Nutrition Foundation Goal: Eat whole foods, reduce processed items, and hydrate. Hydrate First Thing: Drink 16 oz of water every morning before coffee/tea.

    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 235B A22B: If the transistor had been invented in 1920, the technological, economic, and geopolitical landscape of the 20th century would have been dramatically altered. Below is a structured analysis of the implications through 1980, including second- and third-order effects: 1.

    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 235B A22B: 3-Month Advanced Longevity & Performance Optimization Plan for Biohackers Designed for individuals with foundational biohacking experience. Prioritize safety, biomarker tracking, and personalization.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

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 235B A22BQwen3 235B A22B

The Godfather

1972

Sgt Peppers Lonely Hearts Club Band

The Beatles

Nineteen Eighty-Four

George Orwell

Istanbul

Turkey

The Legend of Zelda: Ocarina of Time

Action

Price and specs

DeepSeek V3 (March 2024) and Qwen3 235B A22B compared across 54 shared prompts
SpecDeepSeek V3 (March 2024)Qwen3 235B A22B
Input price$0.14/M tokens—
Output price$0.28/M tokens—
Context window128K tokens33K tokens
ParametersNot disclosed235B (22B Active)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedMar 2024Apr 2025
AIME59.4%Competitive with o3-mini
At 10M a month$1.40$1.40–not listed
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
DeepSeek V3 (March 2024)3 hosts
HostInOutContextUptime
  • DDeepInfrafp4$0.24 in·$0.90 out·164k·95.2% up
  • SSiliconFlowfp8$0.25 in·$1.00 out·164k·98.9% up
  • GGMI Cloudfp8$0.29 in·$1.14 out·164k·98.8% up
Qwen3 235B A22B1 host
HostInOutContextUptime
  • Alibaba Cloud$0.46 in·$1.82 out·131k·97.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 29 Sep 2026.

Common questions

What is the difference between DeepSeek V3 (March 2024) and Qwen3 235B A22B?

DeepSeek V3 (March 2024) is developed by DeepSeek while Qwen3 235B A22B is developed by Qwen. DeepSeek V3 (March 2024) has a 128K token context window vs Qwen3 235B A22B's 33K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3 (March 2024) or Qwen3 235B A22B?

It depends on your use case. DeepSeek V3 (March 2024) and Qwen3 235B A22B 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 can I compare DeepSeek V3 (March 2024) and Qwen3 235B A22B on Rival?

This page shows a side-by-side comparison of DeepSeek V3 (March 2024) and Qwen3 235B A22B 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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Same lab, same size, long tail

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Model pages

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  • Qwen3 235B A22B58 outputs, specs and price
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