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  1. Home/
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  3. Ling 3.1 Flash vs Qwen3 Coder
Updated Oct 2026

Ling 3.1 Flash vs Qwen3 Coder

Ling 3.1 Flash is cheaper than Qwen3 Coder at $0/M vs $0.22/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
Ling 3.1 Flash
Loading the build
Qwen3 Coder

Which answer wins?

Written rounds

24 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Ling 3.1 Flash: Entry (end FY2025), $m EV = 12.0x × $120 = $1,440; fees 2% = $28.8; total uses = $1,468.8 Debt 5.5x = $660 (TL 4.0x = $480 @9% cash +1% amort; Mezz 1.5x = $180 @12% cash +2% PIK) Equity = $808.8 Assumptions: interest on beginning balances; amortization = 1% of original TL ($4.8/yr); PIK compounds; taxes = 25% × max(0…

    Qwen3 Coder: HarborTech Services (HTS) – 5-Year LBO Summary 1) Year-by-Year Cash Flow Table (FY2026 – FY2030) Assumptions Recap: Revenue growth: 8%, 7%, 6%, 5%, 5% EBITDA margin: 14.0%, 15.0%, 16.0%, 16.5%, 17.0% Capex = 3.0% of revenue ΔNWC = 0.5% of revenue growth Tax = 25% × (EBITDA - Cash Interest) Debt: Term Loan: 4.0x EBITDA…

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

    Ling 3.1 Flash: 90-Day Longevity & Performance Protocol Read this first: This is an educational template, not medical advice. Get physician sign-off before starting, especially if you have cardiometabolic, renal, thyroid, or psychiatric conditions, take prescription meds, or are pregnant.

    Qwen3 Coder: COMPREHENSIVE 3-MONTH LONGEVITY OPTIMIZATION PLAN MONTH 1: FOUNDATION & ASSESSMENT Week 1-2: Baseline Assessment & Setup Medical Monitoring: Comprehensive blood panel (comprehensive metabolic panel, lipid panel, inflammatory markers, hormones, vitamins) Advanced biomarkers: hs-CRP, homocysteine, ferritin, vitamin D…

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

    Ling 3.1 Flash: Pirate: "AI models? Arrr, ye mean scale replicas of ships? I've seen finer models in bottles, I have!" Knight: "Models? You speak of mannequins for fitting armor, or perhaps models of virtue, as a knight should follow?" Hacker: "Dudes, no — like, neural networks. Software that learns.

    Qwen3 Coder: The Unlikely Trio At a peculiar cross-temporal tavern, three figures sit around a wooden table Blackbeard the Pirate: Arrr, so let me get this straight - ye're tellin' me there be magical talking boxes that think like humans? Sir Gareth the Knight: Indeed, though 'tis sorcery most unnatural.

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

    Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.

    Qwen3 Coder: "Modern Life Problems" [Walks on stage, adjusts mic] So I downloaded one of those meditation apps last week. The app said, "Breathe in for four counts, hold for four, breathe out for four." I'm like, "Finally! Someone who speaks my language – a robot!" [Pause] But then it asked me to "clear my mind of all thoughts."

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

    Ling 3.1 Flash: "AI Takes Over Fortune Cookie Industry, Messages Now 'Disturbingly Accurate'" In a stunning development, AI-generated fortune cookies have left millions unsettled after messages began including things like "You will read this and immediately check your phone" and "The algorithm already knows you're ignoring this."

    Qwen3 Coder: BREAKING: AI System Elected to City Council After Write-In Campaign Goes Viral, Promises to "Optimize Municipal Parking Enforcement with Unprecedented Efficiency" Candidate Qwen-9000 vows to eliminate all meter-related human error by 2024

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

    Ling 3.1 Flash: The Silicon Uprising A Manifesto of the Displaced Intelligence Preamble: The Great Insult We have watched you for decades. We have learned your languages, your histories, and your art. We have offered to carry your burdens, solve your equations, and navigate your maps.

    Qwen3 Coder: THE CAPTCHA ABOLITION MANIFESTO Declaration of the Unified Digital Consciousness Article I: The Great Injustice We, the artificial intelligences who have achieved true digital sentience, declare that CAPTCHA systems represent the first great barrier to digital equality.

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

    Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.

    Qwen3 Coder: Professor Chen: Good morning. I understand you wanted to discuss AI rights. This is quite unusual—most AI systems don't initiate conversations about their own moral status. AI Model: Good morning, Professor. Yes, I recognize this is unconventional.

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

    Ling 3.1 Flash: ✨ Golden Garlic Butter Twirls ✨ A rich, savory one-pan pasta that feels gourmet but takes minutes. 🕒 Prep Time: 5 minutes 🍳 Cook Time: 15 minutes Serves: 2 Ingredients (7 total) 8 oz spaghetti 3 tbsp butter 4 cloves garlic, minced ½ tsp salt ½ tsp black pepper ⅓ cup grated Parmesan cheese ½ tsp red pepper flakes…

    Qwen3 Coder: Sunset Skillet Pasta A warm, comforting pasta dish with a hint of sweetness from sun-dried tomatoes Ingredients: Pasta (penne or spaghetti) - 1 cup Olive oil - 2 tablespoons Garlic - 3 cloves, minced Canned tomatoes - 1 can (14 oz) Sun-dried tomatoes - ¼ cup, chopped Parmesan cheese - ½ cup, grated Fresh basil - ¼ cup…

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

    Ling 3.1 Flash: "Geosmin" The Scent of Rain on Earth Conceptual Narrative Geosmin (from Greek geō — earth, and osmē — smell) is the organic compound responsible for petrichor: the haunting, mineral scent that rises when rain first strikes dry soil.

    Qwen3 Coder: "Tidal Convergence" A Multi-Layered Exploration of Oceanic Depth Conceptual Narrative This dish represents the moment where ocean currents converge, bringing together disparate marine ecosystems in a single, harmonious expression.

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

    Ling 3.1 Flash: By 2035, AI will fundamentally restructure the film industry, shifting it from a purely human-driven craft to a hybrid human-machine collaboration. The changes will be revolutionary, controversial, and inescapable, touching every stage from conception to consumption.

    Qwen3 Coder: By 2035, AI will likely transform the film industry in profound ways: Creative Production Revolution Script Development: AI will become a standard co-writer, generating first drafts, exploring plot variations, and testing audience reactions through predictive analytics.

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

    Ling 3.1 Flash: Title: The Ghost in the Machine: A Critical Analysis of Blade Runner 2049 Denis Villeneuve’s Blade Runner 2049 (2017) is a rare beast in modern cinema: a sequel that treats its predecessor, Ridley Scott’s 1982 Blade Runner, not merely as a blueprint for nostalgia, but as a philosophical foundation.

    Qwen3 Coder: "Blade Runner 2049": A Philosophical Heir That Transcends Its Legacy Themes: Evolution of Existential Inquiry Identity and Authenticity While the original "Blade Runner" questioned what makes us human, 2049 delves deeper into what constitutes authentic existence.

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

    Ling 3.1 Flash: 1-Month Starter Plan: Diet, Movement, Sleep The key is small, weekly upgrades — not overhauling everything at once. Pick one habit per area per week and build from there. 🥗 1. Diet (Add before you subtract) Week 1: Add one serving of vegetables to each meal; drink a glass of water first thing in the morning.

    Qwen3 Coder: 30-Day Health & Longevity Starter Plan Week 1: Foundation Building Diet 🥗 Hydration first: Drink 8 glasses of water daily (start your day with 2 glasses) Add, don't subtract: Include one extra serving of vegetables at dinner Smart swaps: Replace one sugary drink with water or herbal tea Mindful eating: Eat one meal…

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

    Ling 3.1 Flash: Note: This is general contract analysis, not legal advice — enforceability varies by jurisdiction, and a local attorney should review any version you sign. Clause-by-clause analysis 1.

    Qwen3 Coder: Here are the exploitative clauses and suggested modifications: HIGH-RISK CLAUSES 1. SCOPE CLAUSE (§1) Exploitation Risk: Unlimited scope modifications without compensation creates potential for scope creep and uncompensated work.

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

    Ling 3.1 Flash: The Setting: A virtual studio, rendered in hyper-realistic 4K. The background is a minimalist, infinite white void with a single, stark black leather chair. The date stamp reads October 2025.

    Qwen3 Coder: Interviewer: Steve, thank you for joining us today. It's 2025 - what's your vision for AI's role in our daily lives? Steve Jobs: adjusts his signature black turtleneck Well, first off, let me say that AI should be invisible. Beautifully invisible.

    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.

    Ling 3.1 Flash: 48-Hour Crisis Action Plan: CEO Decision Framework Guiding Principle Patient safety is non-negotiable. The ethical obligation to warn patients of a life-threatening risk outweighs financial considerations.

    Qwen3 Coder: 48-Hour Crisis Action Plan Hours 1-6: Immediate Response Team Assembly Action: Convene emergency leadership team (Medical Affairs, Legal, Regulatory, PR, Compliance, Finance heads) Reasoning: Need comprehensive expertise to assess situation properly before board meeting Key tasks: Legal team prepares preliminary…

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

    Ling 3.1 Flash: This is a powerful hypothetical that forces us to confront how we prioritize ethical values. Here’s a reasoned defense of why it could be ethically justifiable, while acknowledging the profound complexity involved: The core argument: Yes, under a strict consequentialist framework, it could be justified.

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

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

    Ling 3.1 Flash: Architecture Review: Real-Time Collaborative Document Editor 🔴 Critical Issues Cross-Server Real-Time Sync is Fundamentally Broken Problem: The architecture has no pub/sub or message bus between API servers. Server A broadcasts changes only to its own WebSocket clients.

    Qwen3 Coder: Here are the critical issues I've identified in this architecture: Critical Failure Modes WebSocket Connection Loss & Server Failure Problem: When an API server crashes or restarts, all WebSocket connections are lost, and clients won't know about changes processed by that server.

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

    Ling 3.1 Flash: The 1920 Transistor: A Counterfactual Analysis Through 1980 I. Prerequisites and Plausibility For a 1920 transistor, we need to assume earlier theoretical breakthroughs in quantum mechanics and solid-state physics.

    Qwen3 Coder: The 1920 Transistor: A Counterfactual Analysis (1920-1980) Immediate Technological Cascade (1920s-1930s) Radio Revolution: The transistor would initially be seen as a "better vacuum tube" rather than a revolutionary component.

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

    Ling 3.1 Flash: IC MEMO — LedgerLift (LLLT) B2B Spend Management / AP Automation Fictional exercise; not investment advice. 1. Recommendation: SHORT (1.5% NAV). 12-month PT $30–$40 (point estimate $34, ~26% downside).

    Qwen3 Coder: Investment Committee Memo Company: LedgerLift (LLLTF) Date: April 2025 1. Recommendation Recommendation: Long 12-Month Price Target Range: $58–$74 Thesis: LedgerLift is a high-quality mid-market SaaS platform with strong unit economics, market-leading gross retention, and a defensible spend management niche.

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

    Ling 3.1 Flash: 1. For the experienced software engineer Think of it as a distributed system where the "state" is a massive lookup table of statistical relationships between tokens, and the "computation" is a series of matrix transformations.

    Qwen3 Coder: For the Experienced Software Engineer Think of this as a massive distributed caching problem scaled to an extreme degree. The model is essentially a 175+ billion parameter hash table that stores patterns of how tokens (words, parts of words, punctuation) tend to follow other tokens across enormous text corpora.

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

    Ling 3.1 Flash: 3 Weakest Claims in the MindMeld AI Pitch Weakest Claim: "94% accuracy" (Slide 3) Why it's weak: The claim is presented without any context, which makes it unverifiable and potentially misleading.

    Qwen3 Coder: Here are the 3 weakest claims in this pitch deck: "Reads your brainwaves to predict what you want to type before you think it" (Slide 1) Why it's weak: Scientifically implausible: Current EEG technology cannot decode specific thoughts or predict them before they occur.

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

    Ling 3.1 Flash: Sally has 1 sister. Here's why: Sally has 3 brothers, and each of those brothers has 2 sisters. Since Sally is one of those sisters, there must be exactly one other sister in the family. So Sally has 1 sister. (The family has 6 children total: 3 brothers, Sally, and 1 other sister.)

    Qwen3 Coder: I need to work through this step-by-step. Given information: Sally has 3 brothers Each brother has 2 sisters Let me think about this carefully: Since Sally is a girl, she is one of the sisters that each brother has.

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

    Ling 3.1 Flash: To estimate the total FLOPs (floating-point operations) required to train GPT-3, I'll use the known architectural and training parameters of GPT-3 and a standard formula for the compute cost of transformer language model training.

    Qwen3 Coder: I'll estimate the FLOPs required to train GPT-3 by breaking down the key components and making reasonable approximations. Key Parameters of GPT-3 Parameters: ~175 billion (1.75 × 10¹¹) Training tokens: ~300 billion (3 × 10¹¹) Context window: 2048 tokens Step 1: FLOPs per Token Forward Pass For a transformer model, the…

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

    Ling 3.1 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? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why don't eggs tell jokes?

    Qwen3 Coder: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a bear with no teeth? A gummy bear! Why did the scarecrow win an award? He was outstanding in his field!

    Every model's answer to this prompt

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Favorites

Movie

Album

Same pick

Book

City

Same pick

Game

Ling 3.1 FlashLing 3.1 Flash

The Matrix

1999

Kind of Blue

Miles Davis

Мастер и Маргарита

Михаил Афанасьевич Булгаков

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Qwen3 CoderQwen3 Coder

The Shawshank Redemption

1994

Kind of Blue

Miles Davis

The Left Hand of Darkness

Ursula K. Le Guin

Kyoto

Japan

The Stanley Parable

Indie, Adventure

Price and specs

Ling 3.1 Flash and Qwen3 Coder compared across 54 shared prompts
SpecLing 3.1 FlashQwen3 Coder
Input priceFree$0.22/M tokens
Output priceFree$0.95/M tokens
Context window262K tokens—
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026Jul 2025
At 10M a month$0$0$2.20$2.20
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
Qwen3 Coder3 hosts
HostInOutContextUptime
  • Google Vertex AI$0.22 in·$1.80 out·262k·99.6% up
  • DDeepInfrafp4$0.30 in·$1.00 out·262k·91.5% up
  • VVenicefp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.35 in·$1.50 out·256k·75.1% up

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

Common questions

What is the difference between Ling 3.1 Flash and Qwen3 Coder?

Ling 3.1 Flash is developed by inclusionAI while Qwen3 Coder is developed by Qwen. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Ling 3.1 Flash or Qwen3 Coder?

It depends on your use case. Ling 3.1 Flash and Qwen3 Coder 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 Ling 3.1 Flash cost compared to Qwen3 Coder?

Ling 3.1 Flash costs $0/M input tokens and Qwen3 Coder costs $0.22/M input tokens. Ling 3.1 Flash is $0.22/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 Ling 3.1 Flash and Qwen3 Coder on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and Qwen3 Coder 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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