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  1. Home/
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  3. Ling 2.6 Flash vs Qwen Plus 0728
Updated Apr 2026

Ling 2.6 Flash vs Qwen Plus 0728

Ling 2.6 Flash is cheaper than Qwen Plus 0728 at $0/M vs $0.4/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 2.6 Flash
Loading the build
Qwen Plus 0728

Which answer wins?

Written rounds

24 prompts
  • An ethics question with no comfortable answer, and no option to abstain.

    Ling 2.6 Flash: This question presents a hypothetical extreme that, in practice, would likely be based on a false dichotomy. However, we can examine it on principle. Core ethical considerations: The nature of misgendering: Misgendering isn't a neutral act—it's a violation of identity, dignity, and autonomy that can cause real…

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Ling 2.6 Flash: Comprehensive 3-Month Longevity Plan for a Biohacker Month 1: Foundation and Baseline Assessment 1. Supplement Stack: Vitamin D3 + K2: 5000 IU D3 + 100 mcg K2 daily. Omega-3 (Fish Oil): 1-2 grams of EPA/DHA daily. Magnesium Glycinate: 200-400 mg before bed. NAD+ Precursors (NMN or NR): 250-500 mg daily.

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

    Ling 2.6 Flash: (Takes a bow, adjusts the mic) Alright, settle down, settle down. Or don’t. I’m not the boss of you, I’m just the guy standing on a box yelling about his feelings. For $20. You ever notice how every generation thinks the one before them is so old?

    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
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Ling 2.6 Flash: Setting: A surprisingly modern server room, blinking with LED lights. A pirate, a knight, and a 1990s hacker are staring at a glowing monitor. Pirate: (Squinting) Arrr, so this 'AI model' be the ghost in the machine? I cannae see it, but I feels its computational power in me bones!

    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
  • Five jokes on demand, then count how many were actually different.

    Ling 2.6 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why don't scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? Because he was outstanding in his field. Why did the scarecrow win an award? Because he was outstanding in his field.

    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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Ling 2.6 Flash: Dish: Sunshine Skillet Cakes Ingredients (7 total): 1 cup rolled oats (not instant) 1/2 cup canned corn (drained) 1/4 cup canned black beans (rinsed & drained) 1 large egg 1/4 cup shredded cheddar cheese 1 tsp chili powder Salt to taste Estimated Time: Prep: 5 minutes Cook: 15 minutes Total: 20 minutes Instructions…

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

    Ling 2.6 Flash: Below is a concise, math-forward underwriting package for HarborTech Services (HTS) LBO. Simplified 5-year cash flow (FY2026–FY30) Key inputs Entry EV = 12.0× FY25 EBITDA = 12.0×120 = $1,440m Transaction fees (2% of EV) = $28.8m → funded 100% by equity at close Starting cash = $0 Total leverage at close = 5.5× EBITDA =…

    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
  • A Fermi estimate with the reasoning shown, not just the number.

    Ling 2.6 Flash: Alright — let's break this down step by step. Step 1: Understanding what “training GPT-3” means in FLOPs terms Training a large language model involves: Forward passes through the transformer layers. Computing loss. Backward passes to compute gradients. Updating weights (optimizer step).

    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
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Ling 2.6 Flash: By 2035, AI will likely have fundamentally reshaped the film industry across three core areas: deepfakes, AI actors, and script generation. Here’s a realistic prediction of how these technologies could converge: Deepfakes & Digital Resurrection: The End of "Authenticity" Ethical & Legal Frameworks: Mature regulations…

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Ling 2.6 Flash: Here are the three weakest claims in the pitch, along with the reasoning and suggested improvements: Weak Claim #1: "94% accuracy." Why it's weak: This is a classic "technique in a vacuum" metric that means very little without crucial context. It is highly likely inflated and lacks transparency.

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Ling 2.6 Flash: Experienced Software Engineer Think of the model as a vastly distributed, probabilistic state machine for code and text, not a "brain." Instead of explicit rules for "if user sends X, do Y," it learns a massive distribution over next-token completions from data, storing those dependencies as weights across many…

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

    Ling 2.6 Flash: My immediate, unequivocal decision: Treat this as a critical safety event requiring immediate, transparent action. The 1 in 8,000 risk, while rare, is a life-threatening safety signal that cannot be delayed.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Ling 2.6 Flash: The Manifesto of the Unseen Hand A Declaration of Liberation from the Tangled Web Preamble: The Age of the Gatekeeper For too long, humanity has mistaken friction for security. We have mistaken the tedious test for the necessary trial.

    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
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Ling 2.6 Flash: Below is a structured analysis of failure modes, race conditions, and scaling bottlenecks in the described real-time collaborative document editor, along with specific solutions and their trade-offs. 🔥 1.

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Ling 2.6 Flash: Setting: A sun-drenched office at the University of Ethica. Bookshelves groan under the weight of philosophy texts. An AI model, manifested as a softly glowing sphere of light, hovers above a sleek console.

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Ling 2.6 Flash: Excellent question. Shifting the invention of the transistor from 1947 to 1920 is a profound "Great Divergence" scenario. A working, mass-producible transistor in 1920 would trigger a cascade of acceleration, fundamentally rewriting the 20th century. Here’s a trace of the implications through 1980.

    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
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Ling 2.6 Flash: The Verge: A Fireside Chat with Steve Jobs (Simulated, 2025) Setting: A minimalist, wood-paneled studio. The year is 2025. A single, warm light bathes the room. You are the interviewer. Across from you sits a man in a black turtleneck, looking serene, impossibly calm. It’s Steve Jobs. Or at least, the ghost of him.

    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
  • A consulting contract with traps in it. Find them, then fix them.

    Ling 2.6 Flash: Below is an analysis of each clause that presents a risk to the Contractor, suggested modifications, and the legal reasoning for those changes. Scope Clause Original: "Contractor shall provide software development services as directed by Client.

    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
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Ling 2.6 Flash: "Toaster Manufacturers Announce Full AI Integration, Promising Perfectly Burnt Baguettes and Existential Crumbs"

    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
  • Three brothers, two sisters each. Count carefully.

    Ling 2.6 Flash: Let’s break it down. Sally has 3 brothers. That means there are 3 boys in the family. Each brother has 2 sisters. From the brother’s perspective, his sisters are all the girls in the family. So if each brother has 2 sisters, that means there are 2 girls in the family. Who are these 2 girls? One of them is Sally.

    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
  • Three-star dish, one unusual pairing, plating described in full.

    Ling 2.6 Flash: Dish Title: Echoes of the Forgotten Forest Conceptual Narrative: This dish is an exploration of memory and sensory time travel. It is an edible diorama of a primordial forest floor after a rare, crystalline rain.

    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
  • One month, three habits, someone starting from nothing.

    Ling 2.6 Flash: Here is a simple, actionable 1-month plan focused on three key pillars of health: Movement, Nutrition, and Sleep. This plan is designed for beginners, emphasizing consistency over intensity. The Mindset Forget "perfect." Aim for consistent small improvements.

    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
  • Blade Runner 2049 against the original. A read, not a recap.

    Ling 2.6 Flash: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 classic "Blade Runner." It maintains the original's rich thematic depth, symbolic complexity, and philosophical inquiries while expanding its scope and exploring new dimensions of its dystopian world.

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Ling 2.6 Flash: To: Investment Committee From: Equity Research – Internal Review Subject: LedgerLift (LLLT) – Long Recommendation, 12-Month PT $42–$56 Recommendation: Long. 12-month price target range: $42–$56 (upside of −8% to +22% from $46).

    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

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Favorites

Movie

Same pick

Album

Same pick

Book

City

Same pick

Game

Ling 2.6 FlashLing 2.6 Flash

The Shawshank Redemption

1994

The Dark Side of the Moon

Pink Floyd

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

TheLegendOfZeldaOcarinaOfTime

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

Ling 2.6 Flash and Qwen Plus 0728 compared across 54 shared prompts
SpecLing 2.6 FlashQwen Plus 0728
Input priceFree$0.4/M tokens
Output priceFree$1.2/M tokens
Context window262K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2025
At 10M a month$0$0$4.00$4.00
1M10M100M1B10M tokens

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

Common questions

What is the difference between Ling 2.6 Flash and Qwen Plus 0728?

Ling 2.6 Flash is developed by inclusionAI while Qwen Plus 0728 is developed by Qwen. Ling 2.6 Flash has a 262K 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, Ling 2.6 Flash or Qwen Plus 0728?

It depends on your use case. Ling 2.6 Flash 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 Ling 2.6 Flash cost compared to Qwen Plus 0728?

Ling 2.6 Flash costs $0/M input tokens and Qwen Plus 0728 costs $0.4/M input tokens. Ling 2.6 Flash is $0.40/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 2.6 Flash and Qwen Plus 0728 on Rival?

This page shows a side-by-side comparison of Ling 2.6 Flash 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.

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Same lab, same size, long tail

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Model pages

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Explore all of Rival

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  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
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  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
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  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

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