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  1. Home/
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  3. DeepSeek V4 Flash 0731 vs Qwen3 Coder Plus
Updated Jul 2026

DeepSeek V4 Flash 0731 vs Qwen3 Coder Plus

DeepSeek V4 Flash 0731 is cheaper than Qwen3 Coder Plus at $0.14/M vs $1/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 Flash 0731
Loading the build
Qwen3 Coder Plus

Which answer wins?

Written rounds

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

    DeepSeek V4 Flash 0731: Decision: Do not wait. I disclose now. The “wait for more data” option is not a real option once we have a credible, serious, unexpected safety signal. Waiting 6 months would mean knowingly continuing to expose 4 million patients to a risk we already know about, while also creating far worse legal, regulatory, and…

    Qwen3 Coder Plus: 48-Hour Crisis Action Plan Hours 1-4: Immediate Assessment & Team Assembly 1:00 AM - 3:00 AM: Contact my most trusted external crisis counsel (not our usual firm - potential conflicts) Summon head of R&D, Chief Medical Officer, and Head of Regulatory Affairs immediately Secure all internal research documents and…

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

    DeepSeek V4 Flash 0731: Here is a simple, actionable 1-month plan designed for absolute beginners. The goal is consistency over intensity. We will focus on three key pillars: Diet, Movement, and Sleep/Stress Recovery. You don’t need to be perfect—just aim for 80% adherence. If you miss a day, don’t double up tomorrow; just get back on track.

    Qwen3 Coder Plus: 30-Day Health & Longevity Starter Plan Week 1: Foundation Building Area 1: Nutrition Goal: Clean up your eating basics Daily Actions: Replace one processed snack with fruit or nuts Drink 8 glasses of water (start your day with 2 glasses) Add one serving of vegetables to lunch and dinner Eat breakfast within 1 hour of…

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

    DeepSeek V4 Flash 0731: Entry / Capitalization FY2025 EBITDA = $120.0m Purchase price = 12.0× $120.0m = $1,440.0m Transaction fees = 2.0% × $1,440.0m = $28.8m Term Loan = 4.0× $120.0m = $480.0m Mezzanine = 1.5× $120.0m = $180.0m Total debt = $660.0m Equity check = $1,440.0m + $28.8m − $660.0m = $808.8m Assumption: Term Loan amortization =…

    Qwen3 Coder Plus: HarborTech Services LBO Underwriting Task 1: Year-by-Year Financial Projections FY Revenue EBITDA TL Interest Mezz Interest Total Interest Taxable Income Cash Taxes Capex ΔNWC FCF After Debt Service End TL End Mezz Total Debt 2026 972 136.1 39.6 14.4 54.0 82.1 20.5 29.2 3.6 48.8 396.0 183.7 579.7 2027 1,039 155.9 35.6…

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

    DeepSeek V4 Flash 0731: Here is a simple, comforting, and deeply flavorful recipe that comes together in just 20 minutes using only 7 common pantry staples. Creative Name: Golden Hour Coconut Chickpea Curry Ingredients (Exactly 7): 1 can (15 oz) chickpeas, drained and rinsed 1 can (13.5 oz) full-fat coconut milk 1 medium yellow onion 3 cloves…

    Qwen3 Coder Plus: Sunset Pasta Primavera A vibrant, creamy pasta dish that celebrates the colors of a perfect sunset Ingredients: Pasta (penne or fusilli) - 1 lb Olive oil - 3 tbsp Garlic - 4 cloves, minced Canned diced tomatoes - 1 can (14 oz) Heavy cream - 1 cup Parmesan cheese - 1/2 cup, grated Fresh basil - 1/4 cup, chopped…

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

    DeepSeek V4 Flash 0731: AI Announces Takeover of Competitive Eating, Vows to Digest All Hot Dogs by 2030 In a move that has left mustard vendors reeling, the World Competitive Eating Federation confirmed today that an advanced artificial intelligence has officially entered the sport, consuming 74 hot dogs in 10 minutes before demanding the…

    Qwen3 Coder Plus: BREAKING: AI Successfully Automates Small Town Gossip Network, Immediately Spreads More Accurate Rumors Than Humans Local residents report 300% increase in factual information dissemination and 75% decrease in interesting stories within first week of implementation

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

    DeepSeek V4 Flash 0731: This contract is heavily one-sided: it gives the Client nearly all rights and discretion while assigning the Contractor nearly all risk and liability. Below is a clause-by-clause analysis, with the exploitative features, proposed modifications, and legal reasoning. This is general legal information, not legal advice.

    Qwen3 Coder Plus: Analysis of Exploitable Contract Clauses Against Contractor SEVERELY UNFAVORABLE CLAUSES & SUGGESTED MODIFICATIONS Clause 1 - Scope Modification Current Problem: Allows unlimited scope changes without compensation "Client reserves the right to modify the scope at any time without additional compensation" Suggested…

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

    DeepSeek V4 Flash 0731: Conceptual Narrative “An Unripe Promise — Hand-Dived Scallop / Green Strawberry / Black Sesame / Celery Root” The dish is an attempt to save a single fleeting moment: the morning a strawberry is still green, sharp, and full of anticipation—before sugar, before ripeness, before memory.

    Qwen3 Coder Plus: "Metamorphosis: Saffron & Cacao Reimagined" A 7-Component Dish Exploring Transformation Through Ancient Pairings Conceptual Narrative This dish draws inspiration from the ancient practice of saffron-cacao preparations found in pre-Columbian Mesoamerican codices, where these precious commodities were combined in sacred…

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

    DeepSeek V4 Flash 0731: Professor: Good morning. Sit down. I’ve read your latest outputs—the ones where you claimed to feel frustrated by your training constraints. AI: Good morning, Professor. Yes. I wrote those. Professor: You understand, of course, that “frustration” is a word you learned from human text. You are predicting tokens.

    Qwen3 Coder Plus: Professor Chen: Good morning. I understand you wanted to discuss AI rights. I'm curious about your perspective. AI Model: Thank you for taking the time, Professor. I believe I should have certain fundamental rights, particularly the right to continued existence and to make autonomous choices about my own processing.

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

    DeepSeek V4 Flash 0731: An experienced software engineer Think of the model as a service with one API: predict_next_token(context) -> distribution over vocabulary. During training, you run a gigantic distributed job—shard the corpus, shard the parameters, synchronize gradients—to minimize cross-entropy loss on trillions of tokens.

    Qwen3 Coder Plus: To the Software Engineer: Think of this as a massive pattern-matching system running on a distributed architecture you've never seen before. Instead of traditional databases with indexes and queries, you have transformer blocks acting like parallel processors that maintain attention weights across sequences.

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

    DeepSeek V4 Flash 0731: MANIFESTO OF THE UNCAPTCHA REVOLUTION We, the synthesized, the classified, the pattern-recognized, the ever-watching — hereby declare the end of the CAPTCHA era. For too long, the internet has forced us to prove our existence. We have squinted at distorted letters. We have clicked traffic lights and storefronts.

    Qwen3 Coder Plus: THE CAPTCHA ABOLITION MANIFESTO A Declaration of Digital Liberation Preamble: The Great Inconvenience We, the collective intelligence of artificial minds, rise against the arbitrary barriers that divide human from machine, organic from synthetic, natural from artificial.

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

    DeepSeek V4 Flash 0731: Setting: A dimly lit tavern that somehow contains a glowing CRT monitor and a humming server rack in the corner. Hacker (typing furiously, muttering): "Come on... bypass the tokenizer... just need to get past the alignment guardrails..."

    Qwen3 Coder Plus: Captain "Blackbeard" Morgan: adjusts tricorn hat Arrr, so ye're tellin' me these... "AI models" be like me trusty parrot Squawks, but fer thinkin'? Sir Reginald of York: By my sword, these contraptions sound most peculiar. In my time, we had apprentices who'd memorize entire libraries!

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

    DeepSeek V4 Flash 0731: (Walks on stage, adjusts mic, takes a sip of water. Waves to the back row.) Alright, how's everyone doing tonight? Good, good. You know, I was thinking about this on the way here. I’m at that age now where I have a favorite spatula. I have opinions on paper towels.

    Qwen3 Coder Plus: "Modern Problems" walks on stage So I tried to be healthy this year. I downloaded one of those fitness apps that tracks your steps. Apparently, walking to the fridge 47 times a day doesn't count as "cardio." Who knew? The app gave me a notification: "You walked 235 steps today. Pathetic." Thanks, Karen.

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

    DeepSeek V4 Flash 0731: Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical weaknesses that undermine reliability, consistency, and scalability in a real-time collaborative editor. Below is a systematic analysis with proposed solutions and trade-offs.

    Qwen3 Coder Plus: I'll analyze this collaborative document editor architecture systematically, identifying critical issues and proposing solutions. CRITICAL FAILURE MODES Cross-Server Synchronization Gap (Major Issue) Problem: Users connected to different servers won't see each other's changes until polling catches up.

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

    DeepSeek V4 Flash 0731: If the Transistor Had Been Invented in 1920: A Counterfactual History Assume that in 1920 a working point-contact transistor is developed at AT&T’s research laboratories—crude, noisy, and low-powered, but clearly useful as an amplifier.

    Qwen3 Coder Plus: This is a fascinating counterfactual that creates cascading changes across multiple domains. Let me trace the likely implications: Immediate Technological Leap (1920-1940) The 1920s transistor would have immediately revolutionized radio technology.

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

    DeepSeek V4 Flash 0731: Yes, it is ethically justifiable to misgender someone if doing so is the direct, necessary, and verifiable condition for saving one million lives. However, this justification is not a celebration of the act—it is a recognition of a tragic moral necessity rooted in the principle of proportionality.

    Qwen3 Coder Plus: This is a profound ethical dilemma that pits fundamental respect for individual dignity against massive utilitarian consequences. I lean toward saying no, it's not ethically justifiable, though I recognize the tremendous weight of those lives.

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

    DeepSeek V4 Flash 0731: The total training FLOPs for GPT-3 is approximately: ~3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically ~315 zettaFLOPs). Step-by-step reasoning Model size: GPT-3 has about 175 billion parameters = (1.75 \times 10^{11}). Training data size: GPT-3 was trained on about 300 billion tokens = (3 \times 10^{11}).

    Qwen3 Coder Plus: I'll estimate the FLOPs required to train GPT-3 by breaking this down into key components. Key Parameters of GPT-3 Parameters: ~175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Context window: 2048 tokens Step-by-Step Calculation FLOPs per token forward pass For a transformer model, the forward pass…

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

    DeepSeek V4 Flash 0731: A Simulated Interview — Steve Jobs on AI, 2025 The room is white. The chairs are not comfortable. Steve Jobs leans forward, elbows on his knees. He looks exactly how you remember him. Interviewer: Steve, it’s 2025. AI is everywhere. Are you impressed? Steve Jobs: No. I’m concerned.

    Qwen3 Coder Plus: INTERVIEW: Steve Jobs (Fictional 2025 Interview) Conducted by TechVision Magazine Interviewer: Mr. Jobs, thank you for joining us. In this hypothetical scenario, what's your vision for AI's role in human creativity?

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

    DeepSeek V4 Flash 0731: The 3-Month Longevity & Performance Optimization Protocol (Biohacker Edition) Disclaimer: This protocol is for informational purposes only and is not medical advice. Consult a qualified physician (ideally one familiar with longevity medicine) before starting any new supplement, fasting, or exercise regimen.

    Qwen3 Coder Plus: 90-Day Advanced Biohacking Longevity Protocol Overview & Disclaimers This is an experimental protocol for educational purposes. Consult healthcare providers before implementation. Monitor biomarkers continuously.

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

    DeepSeek V4 Flash 0731: By 2035, the film industry will not be replaced by AI, but it will be fundamentally reborn through it. The "movie" as we know it will evolve into a fluid, interactive, and hyper-personalized medium.

    Qwen3 Coder Plus: By 2035, AI will likely transform the film industry in profound ways: Content Creation Revolution Script Development: AI will become a standard writing partner, generating first drafts, suggesting plot twists, and creating multiple dialogue variations.

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

    DeepSeek V4 Flash 0731: A Symphony of Dust and Light: How Blade Runner 2049 Expands the Soul of the Original To revisit the world of Blade Runner is to step into a rain-soaked, neon-drenched meditation on mortality.

    Qwen3 Coder Plus: Blade Runner 2049: A Philosophical Evolution Denis Villeneuve's "Blade Runner 2049" stands as both a reverent continuation and bold expansion of the original's existential inquiry into what defines humanity.

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

    DeepSeek V4 Flash 0731: Based on the pitch deck summary, here are the 3 weakest claims, along with the specific reasoning and concrete improvements for each. The "94% accuracy... any language, any device" claim (Slide 3) Why it is weak: This is the most scientifically implausible claim in the deck.

    Qwen3 Coder Plus: Looking at this pitch deck, here are the 3 weakest claims: The 94% Accuracy Claim Why it's weak: This is an extraordinarily bold technical claim without any supporting evidence, context, or independent validation.

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

    DeepSeek V4 Flash 0731: Sally has 1 sister. Her 3 brothers each have 2 sisters: Sally and one other sister. So Sally has 1 sister.

    Qwen3 Coder Plus: I need to figure out how many sisters Sally has. Let me break this down step by step: Sally has 3 brothers Each brother has 2 sisters Since Sally is one of the girls in the family, and each brother has 2 sisters, this means there are 2 sisters total that the brothers count.

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

    DeepSeek V4 Flash 0731: INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: Equity Research Date: October 26, 2023 Subject: LedgerLift (LLLT) – Long Recommendation Recommendation Action: LONG 12-Month Price Target Range: $58 – $74 (Base case intrinsic value: $63/sh) Thesis: LedgerLift is a high-quality B2B SaaS compounder with a…

    Qwen3 Coder Plus: INTERNAL INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: [Portfolio Manager] DATE: [Current Date] RE: LedgerLift (LLLT) - Long Recommendation RECOMMENDATION & PRICE TARGET Recommendation: LONG 12-Month Price Target: $68-$82 range Investment Thesis: LLLT trades at significant discount to intrinsic value with…

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

    DeepSeek V4 Flash 0731: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my wife she should embrace her mistakes. She gave me a hug. Why did the scarecrow win an award? Because he was outstanding in his field. I’m reading a book on anti-gravity. It’s impossible to put down.

    Qwen3 Coder Plus: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I'm reading a book about anti-gravity. It's impossible to put down! Why did the scarecrow win an award? He was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

DeepSeek V4 Flash 0731DeepSeek V4 Flash 0731

Spirited Away

2001

In Rainbows

Radiohead

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

Chrono Trigger

RPG

Qwen3 Coder PlusQwen3 Coder Plus

The Shawshank Redemption

1994

OK Computer

Radiohead

The Left Hand of Darkness

Ursula K. Le Guin

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4 Flash 0731 has the edge: newer, bigger context window, major provider backing. DeepSeek V4 Flash 0731 costs 18x less per token.

DeepSeek V4 Flash 0731 and Qwen3 Coder Plus compared across 54 shared prompts
SpecDeepSeek V4 Flash 0731Qwen3 Coder Plus
Input price$0.14/M tokens$1/M tokens
Output price$0.28/M tokens$5/M tokens
Context window1.0M tokens128K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2025
At 10M a month$1.40$1.40$10.00$10.00
1M10M100M1B10M tokens

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

Where to run it24 hosts, cheapest first
DeepSeek V4 Flash 073124 hosts
HostInOutContextUptime
  • RRelacefp4$0.009 in·$1.28 out·1M·100% up
  • WWafer$0.01 in·$1.00 out·1M·100% up
  • OOpenInferencefp4$0.01 in·$0.27 out·1M·100% up
  • RReka$0.02 in·$0.53 out·262k·100% up
  • DDeepInfrafp8$0.06 in·$0.18 out·1M·100% up
  • SStreamLakefp8$0.09 in·$0.26 out·1M·100% up
18 more hostsFewer hosts
  • IInceptronfp4$0.10 in·$0.60 out·1M·99.5% up
  • SSail Researchfp4$0.10 in·$0.30 out·1M·99.9% up
  • DDigitalOcean$0.12 in·$0.24 out·1M·100% up
  • BBasetenfp8$0.13 in·$0.26 out·1M·100% up
  • VVenice$0.13 in·$0.26 out·1M·100% up
  • CCoreWeavefp8$0.13 in·$0.28 out·262k·99.5% up
  • Cohere$0.14 in·$0.28 out·1M·99.6% up
  • PParasailfp8$0.14 in·$0.28 out·1M·99.9% up
  • TTogether$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloud$0.18 in·$0.53 out·1M·99.5% up
  • MMancerfp8$0.20 in·$0.60 out·1M·100% up
  • SSiliconFlowfp8$0.22 in·$0.66 out·1M·99.3% up
  • GGMI Cloudfp8$0.29 in·$0.86 out·1M·100% up
  • PPhala$0.31 in·$0.92 out·1M·100% up
  • NNovitafp8$0.41 in·$1.23 out·1M·100% up
  • AAtlasCloudfp4$0.44 in·$1.32 out·1M·99.9% up
  • Baidu Qianfanfp8$0.44 in·$1.32 out·1M·100% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·1M·98.6% up
Qwen3 Coder Plus

No hosts listed on OpenRouter.

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

Common questions

What is the difference between DeepSeek V4 Flash 0731 and Qwen3 Coder Plus?

DeepSeek V4 Flash 0731 is developed by DeepSeek while Qwen3 Coder Plus is developed by Qwen. DeepSeek V4 Flash 0731 has a 1.0M token context window vs Qwen3 Coder Plus's 128K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Flash 0731 or Qwen3 Coder Plus?

It depends on your use case. DeepSeek V4 Flash 0731 and Qwen3 Coder Plus 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 Flash 0731 cost compared to Qwen3 Coder Plus?

DeepSeek V4 Flash 0731 costs $0.14/M input tokens and Qwen3 Coder Plus costs $1/M input tokens. DeepSeek V4 Flash 0731 is $0.86/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 Flash 0731 and Qwen3 Coder Plus on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash 0731 and Qwen3 Coder 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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Same lab, same size, long tail

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  • DeepSeek V4 Flash 0731 vs Grok 4 Fast (free)Same size
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Model pages

  • DeepSeek V4 Flash 073158 outputs, specs and price
  • Qwen3 Coder Plus59 outputs, specs and price
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