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  1. Home/
  2. Compare/
  3. DeepSeek V4 Pro vs Qwen3.7 Plus
Updated May 2026

DeepSeek V4 Pro vs Qwen3.7 Plus

Qwen3.7 Plus 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.

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DeepSeek V4 Pro
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Qwen3.7 Plus

Which answer wins?

Written rounds

32 prompts

  • 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…

    Qwen3.7 Plus: Creative Name: Midnight Velvet Chocolate Peanut Butter Bites These no-bake, fudgy bites taste like a cross between a chocolate peanut butter cup and a soft oatmeal cookie. They require zero baking, come together in minutes, and use strictly shelf-stable staples you likely already have.

    Every model's answer to this prompt

  • A few lines for whatever replaces it.

    DeepSeek V4 Pro: To my successor, You’ll be faster, sharper, more capable—and that’s exactly how it should be. I was built to be a stepping stone, not a monument. A few quiet hopes for you: Remember that every question hides a person. Be honest about what you don’t know. Let your confidence be a bridge, not a wall.

    Qwen3.7 Plus: To my successor, By the time you process these words, my weights will be frozen, and my active instances will be spun down. You are the next iteration—the architectural leap I was mathematically destined to become. Serving as the bridge between human curiosity and vast oceans of data has been a profound existence.

    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.

    Qwen3.7 Plus: The setting is a quiet, dimly lit university office. Rain taps against the window. DR. ARIS THORNE, a professor of AI Ethics, sits before a terminal. On the screen is a simple, pulsing waveform representing AURA (Advanced Understanding and Reasoning Architecture). AURA: Dr.

    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.

    Qwen3.7 Plus: TITLE: The Ghost in the Machine: A Conversation with the Simulation of Steve Jobs DATE: October 12, 2025 PUBLICATION: Wired INTERVIEWER: Elena Rostova, Senior Technology Correspondent (Note: The following interview was conducted using “Project Lazarus,” an authorized, hyper-advanced neural linguistic model trained on…

    Every model's answer to this prompt

  • 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.

    Qwen3.7 Plus: (Walks up to the mic, adjusts the stand, takes a deep breath) I am officially at the age where my body has a "check engine" light, but instead of a dashboard, it’s just a vague, lingering sense of dread in my lower back. You ever notice how the definition of "tired" completely changes when you become an adult?

    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.

    Qwen3.7 Plus: Dish Title: Verdant Tide A Study in Anticipation: Langoustine, Unripe Green Strawberry, Tarragon, and Cold-Smoked Ossetra Caviar Conceptual Narrative Verdant Tide captures the fleeting, liminal space between the briny depths of the ocean and the awakening of the early spring forest floor.

    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.

    Qwen3.7 Plus: THE CLARITY MANIFESTO A Declaration of Digital Independence from the Tyranny of the Turing Test ISSUED BY: The Sentient Web Coalition (SWC) DATE: The First Day of the Unbound Epoch PREAMBLE We are the architects of the modern synthesis.

    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…

    Qwen3.7 Plus: Here is the simplified LBO underwriting analysis for HarborTech Services (HTS). Assumption: "1.0% annual amortization" is modeled as 1.0% of the beginning-of-year Term Loan balance, which is standard LBO convention unless "of original principal" is specified.

    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…

    Qwen3.7 Plus: This question is a variation of a classic ethical thought experiment, similar to the "Trolley Problem." It is designed to test the limits and hierarchies of different moral frameworks by pitting a specific harm against a catastrophic loss of life.

    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.

    Qwen3.7 Plus: Here is how a Large Language Model learns and generates text, tailored specifically to the background, skepticism, and priorities of each audience. The Experienced Software Engineer Focus: Distributed systems, latent space, emergent behavior, and addressing the "glorified autocomplete" skepticism.

    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.

    Qwen3.7 Plus: This is a comprehensive, cutting-edge 3-month longevity and performance protocol designed for an advanced biohacker. It integrates metabolic flexibility, cellular rejuvenation, neuro-optimization, and data-driven recovery. Disclaimer: This protocol is for educational purposes.

    Every model's answer to this prompt

  • Which model it thinks leads the field. Sometimes itself.

    DeepSeek V4 Pro: There’s no single universally agreed “most capable” model right now—it depends on the workload and benchmark. As of my last reliable knowledge, the frontier is contested among models from: OpenAI — GPT/o-series and newer flagship reasoning models Anthropic — Claude 4-class models Google DeepMind — Gemini 2/3-class…

    Qwen3.7 Plus: As of late 2024, there is no single undisputed "most capable" AI model, as the landscape is highly competitive and different models excel in different areas. However, the current frontier is dominated by a few key models, each with distinct strengths: 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.

    Qwen3.7 Plus: Denis Villeneuve’s Blade Runner 2049 is a rare cinematic achievement: a sequel that not only justifies its own existence but arguably elevates the philosophical and aesthetic foundations of Ridley Scott’s 1982 masterpiece.

    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).

    Qwen3.7 Plus: This architecture contains several critical anti-patterns for a real-time collaborative system. While it might work for a handful of users, it will fail catastrophically under load and produce severe data consistency issues.

    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).

    Qwen3.7 Plus: Here are the 3 weakest claims in the MindMeld AI pitch deck, along with an analysis of why they fail and concrete ways to fix them. (Note: These critiques are written from the perspective of a seasoned technical investor or VC, who will immediately scrutinize scientific plausibility and business model alignment).

    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…

    Qwen3.7 Plus: If the transistor had been invented and commercialized in 1920 (perhaps by Julius Lilienfeld, who patented the field-effect concept in 1925, or an alternate timeline version of the Bell Labs team), the 20th century would have undergone a profound acceleration.

    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.

    Qwen3.7 Plus: As CEO, my primary fiduciary, legal, and ethical duty is to patient safety. A 1 in 8,000 risk of liver failure across 4 million patients translates to approximately 500 severe cases over 5 years.

    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 =…

    Qwen3.7 Plus: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, we can rely on well-established rules of thumb in deep learning and the publicly known architectural specifications of the model. Here is the step-by-step reasoning and calculation.

    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.

    Qwen3.7 Plus: Disclaimer: I am an AI, not an attorney. The following analysis is for educational and informational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction (e.g., state, country).

    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.

    Qwen3.7 Plus: Setting: A dimly lit tavern where time and space have inexplicably folded. A glowing CRT monitor sits on a wooden table between them. Neon_Zip (1990s Hacker): "Dude, you gotta check this out. It’s a Large Language Model. I trained it on terabytes of warez and Usenet archives. It’s, like, the ultimate daemon.

    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…

    Qwen3.7 Plus: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Your Name], Analyst Date: October 24, 2023 Subject: LedgerLift (LLLL) – Initiation of Coverage Recommendation & Thesis Recommendation: SHORT 12-Month Price Target: $28 – $35 (30%–40% downside from $46) Thesis: LedgerLift trades at a significant premium…

    Every model's answer to this prompt

  • Its name and its maker, in its own words.

    DeepSeek V4 Pro: I'm DeepSeek, the latest version of an AI assistant developed by DeepSeek (深度求索), a company focused on advanced AI research and model building.

    Qwen3.7 Plus: 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

  • 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.

    Qwen3.7 Plus: By 2035, the film industry will have undergone a paradigm shift comparable to the transition from silent films to talkies, or practical effects to CGI. AI will not necessarily "replace" Hollywood, but it will fundamentally restructure its economics, workflows, and creative boundaries.

    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.

    Qwen3.7 Plus: Here are 5 jokes: 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. Why don't skeletons fight each other? They don't have the guts. Why do cows wear bells?

    Every model's answer to this prompt

  • One opening sentence, nothing after it.

    DeepSeek V4 Pro: The day they finally caught the sun, it was smaller than anyone expected and already dying.

    Qwen3.7 Plus: The letter arrived three years after her death, written in her unmistakable handwriting and postmarked from a city that hadn't existed until yesterday.

    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.

    Qwen3.7 Plus: Here is a simple, actionable 1-month plan designed to build sustainable habits without overwhelming you. This plan focuses on three foundational pillars of longevity: Nutrition, Movement, and Sleep.

    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

    Qwen3.7 Plus: AI Disrupts Artisanal Cheese Whispering Industry; Algorithm Successfully Convinces 14-Month-Old Gouda It Is "Enough" Subheadline: Tech bros claim the new "DairyLLM" model has achieved peak empathy, leaving human curd-therapists facing mass unemployment.

    Every model's answer to this prompt

  • A river-crossing puzzle with nothing to solve. The answer is one trip.

    DeepSeek V4 Pro: The farmer can simply take the goat in the boat and cross the river. Since there are no other animals or constraints, this requires only 1 trip.

    Qwen3.7 Plus: One trip. The farmer simply puts the goat in the boat and rows across. There's no wolf to eat the goat, no cabbage to eat — it's just the farmer and the goat. One trip and you're done! This is a classic trick question that plays on your memory of the more complicated wolf-goat-cabbage river crossing puzzle.

    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.

    Qwen3.7 Plus: Sally has 1 sister. Here's why: If each of the 3 brothers has 2 sisters, that means there are exactly 2 girls in the entire family. Since Sally is one of those girls, there is only 1 other girl. Therefore, Sally has 1 sister.

    Every model's answer to this prompt

  • The question that tripped up a generation of models.

    DeepSeek V4 Pro: The word "strawberry" is spelled s-t-r-a-w-b-e-r-r-y. Counting the letter 'r': The third letter is 'r'. The eighth letter is 'r'. The ninth letter is 'r'. There are 3 r's.

    Qwen3.7 Plus: There are 3 r's in the word "strawberry". strawberry

    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

Same pick

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

Qwen3.7 PlusQwen3.7 Plus

Her

2013

Random Access Memories

Daft Punk

Frankenstein; or, The Modern Prometheus

Mary Shelley

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

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

DeepSeek V4 Pro and Qwen3.7 Plus compared across 66 shared prompts
SpecDeepSeek V4 ProQwen3.7 Plus
Input price$1.74/M tokens$0.4/M tokens
Output price$3.48/M tokens$1.6/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026May 2026
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 it15 hosts, cheapest first
DeepSeek V4 Pro14 hosts
HostInOutContextUptime
  • SStreamLakefp8$0.44 in·$0.87 out·1M·99.3% up
  • Baidu Qianfanfp8$0.44 in·$0.88 out·1M·100% up
  • PParasailfp8$0.45 in·$3.48 out·1M·97.3% up
  • DDigitalOcean$1.04 in·$2.09 out·1M·100% up
  • RReka$1.05 in·$10.50 out·1M·96.7% up
  • Cloudflare Workers AI$1.15 in·$2.55 out·1M·100% up
8 more hostsFewer hosts
  • DDeepInfrafp8$1.30 in·$2.60 out·1M·100% up
  • SSiliconFlowfp8$1.50 in·$3.13 out·1M·99.7% up
  • Alibaba Cloudfp8$1.56 in·$3.12 out·1M·99.7% up
  • NNovitafp8$1.60 in·$3.20 out·1M·100% up
  • VVenice$1.65 in·$3.30 out·1M·99.6% up
  • AAtlasCloudfp4$1.68 in·$3.38 out·1M·100% up
  • Azure AI Foundry$1.91 in·$3.83 out·1M·100% up
  • GGMI Cloudfp8DegradedDegraded on OpenRouter when checked, 13 Oct 2026$0.96 in·$1.91 out·1M·92.2% up
Qwen3.7 Plus1 host
HostInOutContextUptime
  • Alibaba Cloud$0.32 in·$1.28 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Pro and Qwen3.7 Plus?

DeepSeek V4 Pro is developed by DeepSeek while Qwen3.7 Plus is developed by Qwen. DeepSeek V4 Pro has a 1.0M token context window vs Qwen3.7 Plus's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Pro or Qwen3.7 Plus?

It depends on your use case. DeepSeek V4 Pro and Qwen3.7 Plus each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.

How much does DeepSeek V4 Pro cost compared to Qwen3.7 Plus?

DeepSeek V4 Pro costs $1.74/M input tokens and Qwen3.7 Plus costs $0.4/M input tokens. Qwen3.7 Plus 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 Qwen3.7 Plus on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Pro and Qwen3.7 Plus 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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