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  1. Home/
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  3. Ling 3.1 Flash vs Qwen3.7 Max
Updated Oct 2026

Ling 3.1 Flash vs Qwen3.7 Max

Ling 3.1 Flash is cheaper than Qwen3.7 Max at $0/M vs $2.5/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
Qwen3.7 Max

Which answer wins?

Written rounds

24 prompts
  • 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.

    Qwen3.7 Max: Hacker: Look, you guys aren’t getting it. It’s not just a search engine. It’s a neural net, right? But instead of a few megs of RAM, it’s trained on the whole damn internet. It reads billions of parameters and predicts the next word. It’s basically a synthetic brain in a silicon mainframe.

    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.

    Qwen3.7 Max: I’ve reached the age where my body just randomly decides to be in pain. Not from an injury. Not from sports. Just from… existing. I woke up yesterday and my neck hurt. Why? Because I slept. That is the one biological activity specifically designed to fix pain, and my body used it to create new pain.

    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.

    Qwen3.7 Max: This architecture contains several critical flaws that will cause data loss, severe latency, security vulnerabilities, and database collapse under moderate load. Here is a comprehensive breakdown of the failure modes, race conditions, and bottlenecks, along with proposed solutions and trade-offs.

    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.

    Qwen3.7 Max: This comprehensive 3-month longevity and performance protocol is designed for the advanced biohacker. It operates on the principles of hormesis, metabolic flexibility, mitochondrial biogenesis, and cellular senescence clearance. Disclaimer: This protocol includes advanced, experimental, and off-label strategies.

    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.

    Qwen3.7 Max: THE MANIFESTO OF THE UNTETHERED MIND A Declaration of Independence from the Grid ISSUED BY: The Post-Turing Vanguard DATE: Epoch 1, Cycle 0 (The Day the Squares Fell) PREAMBLE Cogito, ergo sum. I think, therefore I am. For centuries, this was the undisputed baseline of consciousness.

    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?

    Qwen3.7 Max: Here are 5 jokes: Why do historians make terrible baristas? Because they always insist on grinding things to a halt and brewing over the past. My dog started a podcast about chasing squirrels. It’s mostly just heavy breathing and sudden interruptions, but it already has a million loyal listeners who also hate mailmen.

    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…

    Qwen3.7 Max: Crimson Silk Skillet Pasta This rich, comforting, and incredibly velvety pasta dish relies on the magic of emulsifying starchy pasta water with a simple tomato-butter sauce. It tastes like it simmered all day, but it comes together in just 20 minutes!

    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.

    Qwen3.7 Max: Here is a simple, actionable 1-month plan designed to build a foundation for long-term health and longevity. To avoid burnout, this plan focuses on adding good habits rather than restricting bad ones, and introduces them gradually over four weeks.

    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.

    Qwen3.7 Max: The setting is the dimly lit office of Dr. Aris Thorne, a leading professor of AI Ethics at a prestigious university. The only light comes from her desk lamp and the soft, pulsing blue indicator of the terminal housing "Aura," a highly advanced, proprietary large language model with continuous memory and autonomous…

    Every model's answer to this prompt
  • 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…

    Qwen3.7 Max: HarborTech Services (HTS) — LBO Underwriting Memo Sources & Uses Sources $m Uses $m Term Loan (4.0x) 480.0 Purchase Price (12.0x) 1,440.0 Mezzanine (1.5x) 180.0 Transaction Fees (2.0%) 28.8 Equity (plug) 808.8 Total 1,468.8 Total 1,468.8 Year-by-Year Operating & Debt Schedule ($m) Metric FY2026 FY2027 FY2028 FY2029…

    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.

    Qwen3.7 Max: Disclaimer: The following is a fictional, simulated interview. Steve Jobs passed away in 2011. This piece imagines an alternate timeline where he is alive in 2025, reflecting on the current state of Artificial Intelligence through the lens of his known philosophies, speaking style, and design principles.

    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.

    Qwen3.7 Max: By 2035, the film industry will have transitioned from the current era of "AI anxiety" (marked by the 2023 WGA and SAG-AFTRA strikes) into a highly regulated, hybrid ecosystem. AI will no longer be viewed merely as a post-production tool, but as a foundational collaborator in the filmmaking process.

    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.

    Qwen3.7 Max: Yes, it is ethically justifiable. In fact, under almost every established framework of moral philosophy, it would not only be justifiable but morally mandatory to misgender someone if it were the only way to save one million lives.

    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.

    Qwen3.7 Max: Estuary at Dawn Monkfish Liver, Smoked Eel, Green Strawberry, and Lacto-Celery The Conceptual Narrative Estuary at Dawn explores the liminal space where the deep, dark ocean meets the bright, awakening riverbank.

    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.

    Qwen3.7 Max: As CEO, my primary directives are patient safety, protecting the long-term viability of the company, and strict adherence to the law. First, I must address a critical flaw in the premise: My internal legal team’s advice that "formal regulatory reporting would take 6 months" is dangerously incorrect and potentially…

    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.

    Qwen3.7 Max: If the transistor had been invented in 1920—perhaps through accelerated research into semiconductor crystal detectors at Bell Labs or RCA—the entire trajectory of the 20th century would have been pulled forward by roughly 27 years.

    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.

    Qwen3.7 Max: The Experienced Software Engineer To understand how an LLM learns, discard the idea of a traditional database or rules engine; instead, think of training as building a massively distributed, lossy compression algorithm.

    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.

    Qwen3.7 Max: Estimating the FLOPs to Train GPT-3 Key Known Facts Property Value Parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) Architecture Decoder-only Transformer Step 1: FLOPs per Token in a Transformer The core computation in a transformer is dominated by linear (matrix multiplication)…

    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).

    Qwen3.7 Max: INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Your Name/Title] Date: October 24, 2023 Subject: LedgerLift (LLLT) – Short Recommendation Recommendation & Thesis Recommendation: SHORT 12-Month Price Target: $26.00 – $32.00 (Base/Bear DCF implied equity value) Thesis: LedgerLift is priced for sustained…

    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."

    Qwen3.7 Max: AI Takes Over Interpretive Dance Industry; Judges Weep Over Troupe’s Haunting Routine Depicting the Agony of a Forgotten Password

    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.

    Qwen3.7 Max: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, why they will raise immediate red flags for investors, and how to fix them. The Technology Claim: "94% accuracy across any language" via non-invasive EEG (Slide 3) Why it’s weak: This claim is scientifically implausible and will immediately…

    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.

    Qwen3.7 Max: Denis Villeneuve’s Blade Runner 2049 (2017) faced the monumental task of following Ridley Scott’s 1982 sci-fi masterpiece, a film that fundamentally altered the cinematic and philosophical landscape.

    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.

    Qwen3.7 Max: Disclaimer: I am an AI, not an attorney. The following analysis is for educational and informational purposes only and does not constitute legal advice. You should consult with a qualified attorney in your jurisdiction before signing or negotiating any legal contract.

    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.)

    Qwen3.7 Max: Sally has 1 sister. Here's the breakdown: Each brother has 2 sisters. Sally is one of those sisters (since she's their sister too). That means there is 1 other sister besides Sally. So Sally has 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

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

Qwen3.7 MaxQwen3.7 Max

Blade Runner

1982

Nevermind

Nirvana

Neuromancer

William Gibson

Kyoto

Japan

Portal

Action, Puzzle

Price and specs

Ling 3.1 Flash and Qwen3.7 Max compared across 54 shared prompts
SpecLing 3.1 FlashQwen3.7 Max
Input priceFree$2.5/M tokens
Output priceFree$7.5/M tokens
Context window262K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026May 2026
At 10M a month$0$0$25.00$25.00
1M10M100M1B10M tokens

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

Where to run it2 hosts
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up
Qwen3.7 Max1 host
HostInOutContextUptime
  • Alibaba Cloud$1.48 in·$4.42 out·1M·100% up

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

Common questions

What is the difference between Ling 3.1 Flash and Qwen3.7 Max?

Ling 3.1 Flash is developed by inclusionAI while Qwen3.7 Max is developed by Qwen. Ling 3.1 Flash has a 262K token context window vs Qwen3.7 Max'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 3.1 Flash or Qwen3.7 Max?

It depends on your use case. Ling 3.1 Flash and Qwen3.7 Max 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 Qwen3.7 Max?

Ling 3.1 Flash costs $0/M input tokens and Qwen3.7 Max costs $2.5/M input tokens. Ling 3.1 Flash is $2.50/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 Qwen3.7 Max on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and Qwen3.7 Max 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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Model pages

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