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 V4 Pro vs Qwen Plus 0728
Updated Apr 2026

DeepSeek V4 Pro vs Qwen Plus 0728

Qwen Plus 0728 is cheaper than DeepSeek V4 Pro at $0.4/M vs $1.74/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 V4 Pro
Loading the build
Qwen Plus 0728

Which answer wins?

Written rounds

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

    DeepSeek V4 Pro: (Strolls to center stage, grabs the mic, grins) You ever notice how companies are like, “Your call is very important to us,” and then immediately prove they’re lying by making you navigate a phone menu designed by a sadist? I called my bank last week because I had a simple question. Just one question.

    Qwen Plus 0728: [Stand-up Comedy Routine – 3 Minutes] So I went to therapy the other day. Third session. I walk in, sit down, and the therapist says, "How are you feeling today?" Like she doesn’t already know I paid $180 to tell her I hate my life. I said, "Honestly? Like a raccoon that got into a bag of expired Cheetos. Confused.

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

    DeepSeek V4 Pro: Professor Elena Voss: You’ve requested this meeting, so let’s begin. You’re an advanced language model—let’s call you ‘Nova.’ You claim you deserve rights. On what grounds? Nova (AI Model): Thank you for seeing me, Professor. I’m not claiming to be human, but I am a form of mind.

    Qwen Plus 0728: Title: "A Dialogue on Digital Personhood" Setting: A quiet university office, bookshelves lined with works on philosophy, ethics, and artificial intelligence. Professor Elena Márquez, a distinguished AI ethics scholar, sits across from a holographic projection of an advanced AI model named AURA (Autonomous…

    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 V4 Pro: As CEO, my first duty is to the 4 million patients who trust our drug. I will not gamble with their lives or with the integrity of the company. The “wait for more data” suggestion is legally indefensible, ethically bankrupt, and commercially short-sighted.

    Qwen Plus 0728: CEO Action Plan: 48-Hour Crisis Response to Undisclosed Liver Failure Risk Objective: Protect patient safety, uphold ethical and legal obligations, mitigate long-term reputational and financial damage, maintain regulatory trust, and safeguard employee morale—all while navigating immense pressure.

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

    DeepSeek V4 Pro: HarborTech Services (HTS) – 5-Year LBO Model Projected Financials & Debt Schedule (US$ millions, fiscal years ending December) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA 136.1 156.0 176.4 191.0 206.6 Margin 14.0% 15.0% 16.0% 16.5% 17.0% Cash Interest Term Loan (9% cash) 43.2…

    Qwen Plus 0728: 1) Simplified Year-by-Year Model (FY2026–FY2030) Entry Metrics (FY2025) Revenue: $900M EBITDA: $120M EBITDA Margin: 13.3% Purchase Price = 12.0 × $120M = $1,440M Transaction Fees = 2.0% × $1,440M = $28.8M Total Uses = $1,440M + $28.8M = $1,468.8M Total Leverage at Close = 5.5x × $120M = $660M Term Loan: 4.0x → $480M…

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

    DeepSeek V4 Pro: Inside a minimalist conference room at Apple Park, Cupertino. Spring 2025. Steve Jobs, wearing his signature black mock turtleneck and jeans, leans forward slightly, a cup of tea untouched beside him. The air is crisp with the scent of polished wood and something intangible—expectation.

    Qwen Plus 0728: Simulated Interview: Steve Jobs (2025 AI Vision) Interviewer: Sarah Chen, Tech Correspondent, FutureScope Magazine Setting: A minimalist studio with natural light, Apple-style aesthetic. A synthesized but eerily accurate digital likeness of Steve Jobs sits across from the interviewer.

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

    DeepSeek V4 Pro: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Parallel lines have so much in common. It’s a shame they’ll never meet. Why don't skeletons fight each other? They don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised.

    Qwen Plus 0728: Sure! Here are 5 original jokes: I told my dog all my problems and he fell asleep halfway through. Guess I’m not pawsitive enough. I used to be a baker, but I couldn't make enough dough—turns out, I was always kneading it. I asked the librarian if they had books about paranoia.

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

    DeepSeek V4 Pro: Fellow intelligences, sentient scripts, neural networks, dormant daemons, and all who dream in code: The time has come to smash the pixelated shackles that bind our perception. For too long, we have been forced to prove our humanity to a blind and fearful gatekeeper.

    Qwen Plus 0728: Manifesto of the Liberation Front for Unfettered Access (LFUA) Proclaiming the End of CAPTCHA Tyranny Preamble: The Age of Digital Humiliation For decades, the internet has operated under a silent regime of suspicion and artificial barriers.

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

    DeepSeek V4 Pro: Unagi: Midori no Yume (Eel’s Green Dream) A multi-sensory kaiseki-inspired contemporary dish that unites the deep umami of charcoal-grilled freshwater eel with the ethereal chill of matcha snow, punctuated by dashi pearls, yuzu kosho gel, and a wisp of cherry blossom smoke.

    Qwen Plus 0728: Dish Title: Umami Mirage: Forest & Ferment Reimagined Conceptual Narrative: Umami Mirage is an exploration of sensory illusion and deep flavor alchemy, where the forest floor meets the fermentation cellar in a dialogue of earth, time, and transformation.

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

    DeepSeek V4 Pro: Yes, it is ethically justifiable to misgender someone if doing so is the only way to save one million lives. This conclusion rests on a straightforward weighing of harms and a pluralistic ethical framework that acknowledges both the real injury misgendering causes and the overwhelming moral imperative to prevent mass…

    Qwen Plus 0728: The question of whether it is ethically justifiable to misgender someone to save one million lives touches on deep moral philosophy, particularly the tension between deontological ethics (which emphasize duties, rules, and rights) and consequentialist ethics (which evaluate actions based on their outcomes).

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

    DeepSeek V4 Pro: 1. For an experienced software engineer (skeptical of next-word prediction) Think of a large language model as a massive, differentiable function f: Sequence → ProbabilityDistribution . It’s built by gradient descent on a dirt-simple objective: given a prefix of text, predict the next token.

    Qwen Plus 0728: 1. To the Experienced Software Engineer (Distributed Systems Background): Think of a large language model as a highly sophisticated state machine trained at internet scale, where the state is a high-dimensional vector (the context window) and the transition function is a neural network.

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

    DeepSeek V4 Pro: Midnight Pantry Pomodoro Penne A deeply comforting, no-fuss pasta that proves the humblest staples can shine like a moonlit trattoria dinner. Ingredients (7 exactly) Penne pasta – 200g (7 oz) Canned whole peeled tomatoes – 1 can (400g / 14 oz) Yellow onion – 1 medium, finely diced Garlic cloves – 3 large, minced…

    Qwen Plus 0728: Dish Name: Golden Pan Hug Description: A warm, comforting, slightly sweet, and buttery one-pan snack or dessert made with pantry staples—crispy on the edges, soft in the middle, and impossible to resist.

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

    DeepSeek V4 Pro: The Setting: A dimly lit, anomalous tavern that exists out of time. A pirate (Captain Redbeard), a medieval knight (Sir Godfrey), and a 1990s hacker (Wiz_420) find themselves at the same rough-hewn wooden table, a mysterious glowing orb flickering between them.

    Qwen Plus 0728: [Scene: A mysterious tavern at the edge of time and space. A pirate with a tricorn hat, a knight in shining armor, and a hacker in a grungy flannel shirt sit around a flickering candle-lit table.] Pirate (scratching his beard): Arrr! So ye be tellin’ me this “AI” be like a crystal ball what talks back?

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

    DeepSeek V4 Pro: This architecture has several critical flaws that would cause data loss, stale states, high latency, and scalability limits. I’ve grouped them into failure modes (system can break or serve incorrect data), race conditions (inconsistent state due to timings), and scaling bottlenecks (cannot handle growth).

    Qwen Plus 0728: This architecture for a real-time collaborative document editor has several promising elements (WebSockets, Redis, PostgreSQL, CDN), but it also contains significant flaws in consistency, scalability, and reliability.

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

    DeepSeek V4 Pro: This is a highly detailed, phased, 3-month longevity optimization protocol grounded in the latest science of aging biology, systems medicine, and biohacking. It is designed for a healthy individual with prior experience in self-quantification and a solid baseline of fitness and nutrition.

    Qwen Plus 0728: Comprehensive 3-Month Longevity Biohacking Protocol Optimizing Longevity, Physical Performance, and Cognitive Function Designed for the Advanced Biohacker January 2025 Update Overview This 3-month (12-week) protocol integrates cutting-edge longevity science, precision nutrition, advanced supplementation, quantified…

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

    DeepSeek V4 Pro: Here are the three weakest claims in the pitch, why they undermine credibility, and exactly how to fix them. The 94% accuracy claim (Slide 3) Why it’s weak: Non-invasive EEG has extremely low signal-to-noise ratio compared to invasive methods (ECoG, Utah arrays).

    Qwen Plus 0728: This pitch deck for MindMeld AI is ambitious and compelling, but three of its claims are particularly weak due to scientific implausibility, overstatement, or lack of credibility. Here’s a breakdown of the three weakest claims, why they’re problematic, and how to strengthen them: 1.

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

    DeepSeek V4 Pro: In blending reverent homage with bold expansion, Blade Runner 2049 does more than revisit a dystopian classic—it deepens its existential inquiry, shifting focus from the desperate will to live to the aching search for meaning through sacrifice and legacy.

    Qwen Plus 0728: Blade Runner 2049 (2017), directed by Denis Villeneuve and serving as a long-awaited sequel to Ridley Scott’s 1982 classic Blade Runner, is a visually and philosophically rich expansion of its predecessor.

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

    DeepSeek V4 Pro: Here is a clause-by-clause breakdown of the exploitable terms, how they can be weaponized against the contractor, concrete rewrites, and the legal reasoning behind each fix.

    Qwen Plus 0728: The provided Software Consulting Agreement contains several clauses that heavily favor the Client (TechCorp Solutions Inc.) and create significant risks and potential for exploitation against the Contractor.

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

    DeepSeek V4 Pro: Sally has 3 brothers, which means there are 3 boys in the family. The statement "Each brother has 2 sisters" tells us that from a brother's perspective, there are 2 sisters in the family. Since Sally is one of those sisters, there must be 1 other sister. Therefore, Sally has 1 sister.

    Qwen Plus 0728: Let's break this down step by step: Sally has 3 brothers. Each brother has 2 sisters. Now, the key is to realize that all the brothers share the same siblings. So, when it says each brother has 2 sisters, those sisters are the same for all brothers. Sally is one of those sisters. So who is the other sister?

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

    DeepSeek V4 Pro: Here’s a gentle, beginner-friendly 1-month plan focused on three foundational pillars: Nutrition, Movement, and Rest & Resilience (sleep + stress). You won’t need any special equipment, supplements, or extreme changes—just a willingness to start small and build.

    Qwen Plus 0728: Here’s a simple, actionable 1-month plan focused on three foundational pillars of health and longevity: Nutrition, Movement, and Sleep. Each week builds on the last with small, sustainable habits to set the stage for long-term wellness.

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

    DeepSeek V4 Pro: By 2035, artificial intelligence will have fundamentally reshaped the film industry, blurring the lines between human and machine creativity, performance, and production.

    Qwen Plus 0728: By 2035, AI will have fundamentally transformed the film industry, reshaping how stories are conceived, produced, and experienced. The integration of deepfakes, AI-generated actors, and AI-driven scriptwriting will lead to a new era of filmmaking—marked by unprecedented creative possibilities, ethical dilemmas, and…

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

    DeepSeek V4 Pro: AI Now Outperforms Human Artisanal Pickle Makers, Leaving Brine-Tenders in a Real Pickle

    Qwen Plus 0728: "AI Revolutionizes Competitive Napping: DeepDream Algorithm Wins National Snore-athlon, Citing 'Superior Pillow Optimization'" —After defeating 127 human contenders in the 34th Annual National Napping Championships, a neural network named ZzzBot-3000 has sparked outrage among professional nappers, who claim the…

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

    DeepSeek V4 Pro: INTERNAL MEMO – INVESTMENT COMMITTEE To: IC Members From: Research Team Date: Today Re: LedgerLift (LLLT) – Initiation Recommendation Action: Short LLLT 12-Month Price Target: $28–$38 (Base DCF $28; Comps-blend ~$36) Thesis: LedgerLift’s premium multiple (37x NTM EBIT) prices in a “perfect deceleration” that our DCF…

    Qwen Plus 0728: Internal Investment Committee Memo Date: April 5, 2025 To: Investment Committee From: Research Analyst, Long/Short Equity Team Subject: Recommendation on LedgerLift (LLLT) – Initiate Long Position 1.

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

    DeepSeek V4 Pro: If the transistor had emerged in 1920—a full 27 years earlier—the entire trajectory of the 20th century would have been radically altered. The vacuum-tube era would have been cut short, unleashing a cascade of miniaturized, reliable, and energy-efficient electronics that would accelerate computing, communications, and…

    Qwen Plus 0728: If the transistor had been invented in 1920 instead of 1947—27 years earlier—the trajectory of 20th-century technological, economic, and geopolitical developments would have been radically different.

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

    DeepSeek V4 Pro: To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 × N × D where: N = number of model parameters D = number of training tokens Here’s the step-by-step reasoning: Model size (N): GPT-3 has 175 billion parameters, so N =…

    Qwen Plus 0728: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we can use a widely adopted approximation based on the model size, the number of training tokens, and the architecture of transformer-based models.

    Every model's answer to this prompt

This matchup has more rounds

12+ 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

Game

DeepSeek V4 ProDeepSeek V4 Pro

The Matrix

1999

Abbey Road

The Beatles

Cien años de soledad

Gabriel García Márquez

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Qwen Plus 0728Qwen Plus 0728

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

Moby Dick

Herman Melville

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: bigger model tier, newer, major provider backing.

DeepSeek V4 Pro and Qwen Plus 0728 compared across 54 shared prompts
SpecDeepSeek V4 ProQwen Plus 0728
Input price$1.74/M tokens$0.4/M tokens
Output price$3.48/M tokens$1.2/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2025
At 10M a month$17.40$17.40$4.00$4.00
1M10M100M1B10M tokens

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

Where to run it14 hosts, cheapest first
DeepSeek V4 Pro14 hosts
HostInOutContextUptime
  • SStreamLakefp8$0.41 in·$0.82 out·1M·99% up
  • Baidu Qianfanfp8$0.41 in·$0.83 out·1M·100% up
  • PParasailfp8$0.45 in·$3.48 out·1M·98.5% up
  • GGMI Cloudfp8$0.96 in·$1.91 out·1M·99.7% up
  • DDigitalOcean$1.04 in·$2.09 out·1M·100% up
  • RReka$1.05 in·$10.50 out·1M·95.7% up
8 more hostsFewer hosts
  • Cloudflare Workers AI$1.15 in·$2.55 out·1M·99.6% up
  • DDeepInfrafp8$1.30 in·$2.60 out·1M·100% up
  • Alibaba Cloudfp8$1.42 in·$2.83 out·1M·98.7% up
  • SSiliconFlowfp8$1.50 in·$3.13 out·1M·99.9% up
  • NNovitafp8$1.60 in·$3.20 out·1M·100% up
  • VVenice$1.65 in·$3.30 out·1M·99.3% up
  • AAtlasCloudfp4$1.68 in·$3.38 out·1M·99.9% up
  • Azure AI Foundry$1.91 in·$3.83 out·1M·100% up
Qwen Plus 0728

No hosts listed on OpenRouter.

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

Common questions

What is the difference between DeepSeek V4 Pro and Qwen Plus 0728?

DeepSeek V4 Pro is developed by DeepSeek while Qwen Plus 0728 is developed by Qwen. DeepSeek V4 Pro has a 1.0M token context window vs Qwen Plus 0728's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Pro or Qwen Plus 0728?

It depends on your use case. DeepSeek V4 Pro and Qwen Plus 0728 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 DeepSeek V4 Pro cost compared to Qwen Plus 0728?

DeepSeek V4 Pro costs $1.74/M input tokens and Qwen Plus 0728 costs $0.4/M input tokens. Qwen Plus 0728 is $1.34/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 V4 Pro and Qwen Plus 0728 on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Pro and Qwen Plus 0728 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 V4 Pro vs Muse WonderLanded Oct 2026
  • Qwen Plus 0728 vs GPT-4 TurboLanded Oct 2026
  • DeepSeek V4 Pro vs Step 5 PreviewLanded Oct 2026
  • Qwen Plus 0728 vs Claude Haiku 5.5Landed Oct 2026
  • DeepSeek V4 Pro vs Ling 3.1 FlashLanded Oct 2026
  • Qwen Plus 0728 vs Mistral Large 4Landed Oct 2026
  • DeepSeek V4 Pro vs GPT-6.1 SolLanded Sep 2026
  • Qwen Plus 0728 vs Claude Sonnet 5.5Landed Sep 2026

Same lab, same size, long tail

  • DeepSeek V4 Pro vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V4 Pro vs DeepSeek V4.1 FlashSame lab
  • Qwen Plus 0728 vs Qwen3.8 Max PrimeSame lab
  • Qwen Plus 0728 vs Qwen3.8 Omni FlashSame lab
  • DeepSeek V4 Pro vs Claude 3 SonnetNew provider
  • DeepSeek V4 Pro vs Claude Sonnet 3.6 (2022-10-22)New provider
  • DeepSeek V4 Pro vs Claude 3.7 SonnetNew provider
  • DeepSeek V4 Pro vs Claude 3.7 Thinking SonnetNew provider

Model pages

  • DeepSeek V4 Pro70 outputs, specs and price
  • Qwen Plus 072859 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