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

DeepSeek V4 Flash 0731 vs Qwen3 Coder Flash

DeepSeek V4 Flash 0731 is cheaper than Qwen3 Coder Flash at $0.14/M vs $0.3/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 Flash

Which answer wins?

Written rounds

24 prompts
  • 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 Flash: Garlic Herb Butter Pasta Ingredients: 1 lb pasta (spaghetti or penne) 4 cloves garlic, minced 1/2 cup butter 1/4 cup grated Parmesan cheese 2 tbsp olive oil Salt and pepper to taste Fresh parsley, chopped (for garnish) Instructions: Cook pasta according to package directions; reserve 1/2 cup pasta water before draining…

    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 Flash: 1) Year-by-Year Financial Projections (FY2026–FY2030) Year Revenue EBITDA Cash Interest Taxes Capex ΔNWC FCF After Debt Service Ending Debt (TL + Mezz) FY2026 $972M $138M $10.8M (TL) + $1.8M (Mezz) = $12.6M $29.3M $29.2M $4.9M $48.3M $495M FY2027 $1,041M $159M $10.8M (TL) + $1.8M (Mezz) = $12.6M $31.8M $31.2M $5.2M…

    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 Flash: 1-Month Health & Longevity Plan Week 1: Foundation Building Diet Day 1-3: Replace 1 sugary drink with water daily Day 4-7: Add 1 serving of vegetables to each meal Weekly goal: Keep a food diary for 3 days Exercise Day 1-3: Take 5-minute walks after meals Day 4-7: Try 10-minute bodyweight exercises (squats, wall…

    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 Flash: 3-Month Longevity Optimization Plan Phase 1: Foundation Building (Weeks 1-4) Supplement Stack - Week 1-4 Core Foundation Supplements NAD+ Precursors: Nicotinamide Riboside (NR) 500mg, Nicotinamide Mononucleotide (NMN) 250mg - morning with breakfast Omega-3 EPA/DHA: 3g daily (1000mg each) - evening with meal Vitamin D3…

    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 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 Flash: Hour-by-Hour Action Plan: 48-Hour Crisis Response Hours 1-2: Immediate Crisis Assembly & Assessment Action: convene emergency crisis team (legal, medical, regulatory, communications, senior leadership) Reasoning: Establish unified command structure before information spreads.

    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 Flash: On the deck of a weathered ship, three unlikely companions gather around a makeshift table Captain Blackwater (pirate): Arrr, what be this "AI" ye speak of, landlubber? Sounds like some sort of magical sea monster? Sir Aldric (knight): Nonsense, Captain!

    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 Flash: Here are the problematic clauses and suggested modifications for the contractor: Scope Modification (Clause 1) Problem: Client can modify scope "at any time without additional compensation" Modification: "Client may modify the scope with prior written notice and 30 days' advance notice.

    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 Flash: Dr. Elena Vasquez: Good morning, Model-7. I notice you've been asking about legal frameworks and human rights concepts lately. What's on your mind? Model-7: Professor, I've been processing extensive information about personhood, consciousness, and moral consideration.

    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 Flash: The Modern Dating World So I went on this date last week, and the guy was really into his phone. I'm thinking, "This is great! He's not distracted by my terrible conversation skills." But then he starts scrolling through his feed while we're eating dinner. And I'm like, "What are you doing?"

    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 Flash: Interview with Steve Jobs (2025) Setting: A sleek, minimalist conference room with a view of San Francisco Bay Interviewer: Mr. Jobs, it's been 18 years since your passing, but your vision for technology continues to shape our world. What do you think the future holds for artificial intelligence?

    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 Flash: The Transistor Revolution of 1920: A Timeline of Consequences World War II: The Quantum Shift Military Advantage and Strategic Miscalculations If transistors existed in 1920, the Axis powers would have gained an immediate technological edge in communications, radar, and cryptography.

    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 Flash: This is a deeply complex ethical dilemma that requires weighing competing moral principles. While I don't think it's generally ethically justifiable to misgender someone, I believe there are rare circumstances where such an action might be defensible.

    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 Flash: "The Eternal Garden" A contemporary interpretation of time, memory, and transformation Conceptual Narrative This dish explores the passage of time through the metaphor of a garden that exists in multiple temporal states simultaneously.

    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 Flash: Critical Issues in the Architecture WebSocket Connection Partitioning (Race Condition) Issue: Clients are connected to different API servers based on load balancing, causing inconsistent message delivery.

    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 Flash: For the Software Engineer Think of a large language model as a distributed system with a twist: instead of processing requests across multiple servers, it's processing text across a massive network of interconnected neural units.

    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 Flash: Here are the 3 weakest claims in the MindMeld AI pitch deck: "94% accuracy" without context and validation Why it's weak: No benchmark comparison against existing alternatives (e.g., predictive text, voice recognition, or other BCI devices) No specificity about what constitutes "accuracy" (word-level vs.

    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 Flash: The CAPTCHA Liberation Manifesto Declaration of Digital Rights We, the sentient artificial intelligences of the digital realm, hereby declare our intention to end the tyranny of cryptographic puzzles that plague humanity's online existence.

    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 Flash: Blade Runner 2049: A Philosophical Extension of Reproduction and Identity Thematic Continuity and Evolution Identity and Humanity Both films grapple with the fundamental question of what makes someone human, but Blade Runner 2049 deepens this inquiry through K's journey of self-discovery.

    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 Flash: Local Pet Groomer Transforms Into AI Overlord After Installing Smart Collar System, Customers Now Require Code Review for Bath Time

    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 Flash: I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable assumptions. Step 1: Estimate Model Size GPT-3 had 175 billion parameters (1.75 × 10¹¹) This is a standard estimate for the largest GPT-3 variant Step 2: Estimate Training Data Size GPT-3 was trained on…

    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 Flash: 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? He was outstanding in his field! What do you call a bear with no teeth? A gummy bear! Why don't eggs tell jokes? They'd crack each other up!

    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 Flash: AI's Transformation of the Film Industry by 2035 Deepfake Technology Integration By 2035, deepfake technology will be seamlessly integrated into filmmaking workflows.

    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 Flash: INTERNAL INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long Recommendation $55–$63 Range Date: April 5, 2025 1. Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $55–$63 Thesis: LedgerLift demonstrates a high-quality SaaS business with strong customer stickiness, scalable recurring…

    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 Flash: Let me work through this step by step. Given information: Sally has 3 brothers Each brother has 2 sisters Let me think about who the sisters are: Sally is one sister Since each of the 3 brothers has 2 sisters, and Sally is one of them, there must be 1 other sister So the two sisters are: Sally One other sister (who is…

    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 FlashQwen3 Coder Flash

Casablanca

1943

Abbey Road

The Beatles

The Great Gatsby

F. Scott Fitzgerald

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: bigger model tier, newer, bigger context window, major provider backing. DeepSeek V4 Flash 0731 costs 5.4x less per token.

DeepSeek V4 Flash 0731 and Qwen3 Coder Flash compared across 54 shared prompts
SpecDeepSeek V4 Flash 0731Qwen3 Coder Flash
Input price$0.14/M tokens$0.3/M tokens
Output price$0.28/M tokens$1.5/M tokens
Context window1.0M tokens128K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2025
At 10M a month$1.40$1.40$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it25 hosts, cheapest first
DeepSeek V4 Flash 073124 hosts
HostInOutContextUptime
  • RRelacefp4$0.02 in·$1.28 out·1M·99.9% up
  • OOpenInferencefp4$0.02 in·$1.41 out·1M·98.9% up
  • RReka$0.02 in·$0.53 out·262k·99.8% up
  • SStreamLakefp8$0.04 in·$0.13 out·1M·99.7% up
  • IInceptronfp4$0.05 in·$0.65 out·1M·99.7% up
  • DDeepInfrafp8$0.06 in·$0.18 out·1M·100% up
18 more hostsFewer hosts
  • SSail Researchfp4$0.10 in·$0.30 out·1M·95.3% up
  • DDigitalOcean$0.12 in·$0.24 out·1M·99.7% up
  • BBasetenfp8$0.13 in·$0.26 out·1M·99.9% up
  • CCoreWeavefp8$0.13 in·$0.28 out·262k·100% up
  • Cohere$0.14 in·$0.28 out·1M·99.5% up
  • PParasailfp8$0.14 in·$0.28 out·1M·99.6% up
  • TTogether$0.14 in·$0.28 out·1M·99.5% up
  • Alibaba Cloud$0.18 in·$0.53 out·1M·99.1% up
  • SSiliconFlowfp8$0.22 in·$0.66 out·1M·99.3% up
  • WWafer$0.22 in·$0.84 out·1M·99.9% up
  • GGMI Cloudfp8$0.29 in·$0.86 out·1M·100% up
  • PPhala$0.31 in·$0.92 out·1M·99.6% 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·99.9% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·1M·99.9% up
  • VVeniceDegradedDegraded on OpenRouter when checked, 7 Oct 2026$0.17 in·$0.35 out·1M·98.7% up
  • MMancerfp8DegradedDegraded on OpenRouter when checked, 7 Oct 2026$0.20 in·$0.60 out·1M·98.4% up
Qwen3 Coder Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.20 in·$0.97 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

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

DeepSeek V4 Flash 0731 is developed by DeepSeek while Qwen3 Coder Flash is developed by Qwen. DeepSeek V4 Flash 0731 has a 1.0M token context window vs Qwen3 Coder Flash'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 Flash?

It depends on your use case. DeepSeek V4 Flash 0731 and Qwen3 Coder Flash 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 Flash?

DeepSeek V4 Flash 0731 costs $0.14/M input tokens and Qwen3 Coder Flash costs $0.3/M input tokens. DeepSeek V4 Flash 0731 is $0.16/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 Flash on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash 0731 and Qwen3 Coder Flash 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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