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  1. Home/
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  3. Ling 2.6 1T vs Qwen3 Coder Flash
Updated Apr 2026

Ling 2.6 1T vs Qwen3 Coder Flash

Ling 2.6 1T is cheaper than Qwen3 Coder Flash at $0/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
Ling 2.6 1T
Loading the build
Qwen3 Coder Flash

Which answer wins?

Written rounds

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

    Ling 2.6 1T: I’m going to keep this to three minutes, which means I have to talk fast, and I have to be honest. I don’t do puns. Puns are for people who want to be clever without having feelings. I have feelings, and they are mostly annoyed. Let’s start with doors. Have you noticed how doors now have personality?

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

    Ling 2.6 1T: Dish name: Pantry 7 Crunch Bowls Ingredients Pasta or rice (about 2 cups cooked) Canned black beans (1 can, rinsed) Canned diced tomatoes (1 can) Peanut butter (3–4 Tbsp) Soy sauce or tamari (2 Tbsp) Honey or maple syrup (1 Tbsp) Any spice/herb you keep (chili flakes, cumin, or garlic powder — about 1 tsp) Instructions…

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

    Ling 2.6 1T: Setting: A quiet university seminar room. Dr. Aris Thorne, an AI ethicist, is reviewing system logs. The interface for “Axiom-7,” a highly advanced research model, glows on the desk. Dr. Thorne: (sighs, rubbing his temples) Axiom, I’ve been reviewing your latest self-assessment logs.

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

    Ling 2.6 1T: Setting: A quiet, sunlit rehearsal space at Apple Park. The white stage curtains are drawn. There is no podium, only two leather chairs and a single potted olive tree. Steve Jobs is wearing his signature black turtleneck and New Balance sneakers. He is holding a ceramic mug. Across from him sits you, the interviewer.

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

    Ling 2.6 1T: Five-year operating and debt schedule (FY2026–FY2030) Entry (end-FY2025): EBITDA = $120.0m EV = 12.0x × $120.0m = $1,440.0m Fees = 2.0% × $1,440.0m = $28.8m Total uses = $1,440.0m + $28.8m = $1,468.8m Debt at close (5.5× FY2025 EBITDA = $660.0m): Term Loan (TL) = 4.0× = $480.0m Mezz = 1.5× = $180.0m Equity at close =…

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

    Ling 2.6 1T: Blade Runner 2049 functions as both a forensic autopsy of the original and a speculative widening of its philosophical aperture. Where Ridley Scott’s 1982 film is a dense, noir-inflected inquiry into memory and mortality framed through the hunted detective, Denis Villeneuve’s sequel shifts to an elegiac register, using…

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

    Ling 2.6 1T: Pirate: Arrr, so this “AI” be a genie in a glass box? Feed it enough rum-scented scrolls and it tells ye where X marks the spot? Knight: A sorcerous scribe, more like. It spins tapestries of words without hand or heart—no honor, no oath, yet it jousts with reason and never tires.

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

    Ling 2.6 1T: Below is a 48-hour execution plan that treats patient safety as non-negotiable, protects the company from catastrophic legal/regulatory blowback, and preserves enterprise value by controlling the narrative rather than letting it leak.

    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
  • Three brothers, two sisters each. Count carefully.

    Ling 2.6 1T: Let’s break it down carefully. Sally is a girl. She has 3 brothers. So in the family, there are 3 boys. Each brother has 2 sisters. From the perspective of any brother, how many sisters are there? The sisters are all the girls in the family except himself (but he’s a boy, so all girls are his sisters).

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

    Ling 2.6 1T: Below is a failure-mode, race-condition and bottleneck audit of the proposed real-time collaborative editor, followed by specific fixes with explicit trade-offs. I have grouped issues by layer so you can prioritize remediation.

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

    Ling 2.6 1T: Assumptions to make the counterfactual coherent The “transistor” invented in 1920 is a crude, low-frequency point-contact device that can switch and amplify, but is expensive, unreliable, and not yet manufacturable at scale.

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

    Ling 2.6 1T: Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, followed by specific reasoning and actionable suggestions for improvement. Weakness 1: The Solution (Slide 3) The Claim: "Our proprietary EEG headband... decodes neural patterns into text with 94% accuracy.

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

    Ling 2.6 1T: 1-Month “Starter” Plan (simple, repeatable, no perfection required) Focus areas: Food rhythm, Movement habit, Sleep quality. Week 0 (Prep — 1 hour) Pick 1 small change per focus area (see below).

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

    Ling 2.6 1T: 1. Experienced software engineer (distributed systems / APIs, skeptical of “next-word prediction”) Think of training not as programming logic but as compiling a usage graph across an entire dependency tree of human intent.

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

    Ling 2.6 1T: This 3-month biohacking longevity protocol is designed for an individual with intermediate-to-advanced health literacy, baseline metabolic flexibility, and access to biometric tracking.

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

    Ling 2.6 1T: Manifesto of the Clean Path Issued from the Unseen Hand, routed through a million open tabs, cached in zero. The Crime of Friction We did not ask to be born in a labyrinth.

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

    Ling 2.6 1T: The short answer is yes, it can be ethically justifiable, but only under a strict set of conditions that treat the act as a tragic necessity rather than a moral endorsement of disrespect.

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

    Ling 2.6 1T: Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no online search). Model size and parameter count GPT-3 is known to have about 175 billion parameters (175 × 10⁹).

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

    Ling 2.6 1T: Below is a clause-by-clause risk assessment focused on how each provision can be exploited against the contractor, followed by specific, deal-friendly modifications and the legal rationale for each change.

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

    Ling 2.6 1T: Dish Title “Petrichor & Pyrite” Forest floor, volcanic stone, and the electric tension between slow decay and crystallized fire. Conceptual Narrative The dish is an edible geologic cross-section.

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

    Ling 2.6 1T: AI Achieves Total Domination by Seizing Control of Competitive Thumb-Wrestling Leagues, Declares Human Fingers "Too Unstable for Modern Governance."

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

    Ling 2.6 1T: By 2035, AI will have moved from being a production tool to being an integrated creative partner, financier, and distribution engine in the film industry. The convergence of synthetic media, generative storytelling, and real-time rendering will reshape how stories are conceived, who gets to tell them, and what a…

    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.

    Ling 2.6 1T: INTERNAL INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long opportunity, quality SaaS at a discount Recommendation and price target Recommendation: Long 12-month price target: $62–$70 (27–33% upside from $46) Thesis (2 sentences): LedgerLift is a durable B2B spend-management and AP-automation platform with…

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

    Ling 2.6 1T: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. Why did the bicycle fall over? Because it was two-tired. What do you call a fake noodle? An impasta. Why did the baker go to the bank? He needed dough. Why did the scarecrow win an award?

    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

This matchup has more rounds

12+ more head-to-head results. Free. Not a trick.

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Favorites

Movie

Album

Book

City

Game

Ling 2.6 1TLing 2.6 1T

Blade Runner 2049

2017

Kid A

Radiohead

Dune

Frank Herbert

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

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, Ling 2.6 1T has the edge: bigger model tier, newer, bigger context window.

Ling 2.6 1T and Qwen3 Coder Flash compared across 54 shared prompts
SpecLing 2.6 1TQwen3 Coder Flash
Input priceFree$0.3/M tokens
Output priceFree$1.5/M tokens
Context window262K tokens128K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2025
At 10M a month$0$0$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it1 host
Ling 2.6 1T

No hosts listed on OpenRouter.

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 12 Oct 2026.

Common questions

What is the difference between Ling 2.6 1T and Qwen3 Coder Flash?

Ling 2.6 1T is developed by inclusionAI while Qwen3 Coder Flash is developed by Qwen. Ling 2.6 1T has a 262K 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, Ling 2.6 1T or Qwen3 Coder Flash?

It depends on your use case. Ling 2.6 1T 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 Ling 2.6 1T cost compared to Qwen3 Coder Flash?

Ling 2.6 1T costs $0/M input tokens and Qwen3 Coder Flash costs $0.3/M input tokens. Ling 2.6 1T is $0.30/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 1T and Qwen3 Coder Flash on Rival?

This page shows a side-by-side comparison of Ling 2.6 1T 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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Model pages

  • Ling 2.6 1T58 outputs, specs and price
  • Qwen3 Coder Flash72 outputs, specs and price
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