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  1. Home/
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  3. Ling 3.1 Flash vs Seed 2.0 Code
Updated Oct 2026

Ling 3.1 Flash vs Seed 2.0 Code

Ling 3.1 Flash is cheaper than Seed 2.0 Code at $0/M vs $0.5/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
Seed 2.0 Code

Which answer wins?

Written rounds

24 prompts

  • 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…

    Seed 2.0 Code: Creative Dish Name: Smoky Hearth Crunch Bowls (Cozy, savory umami crunch made exclusively from 7 pantry staples—no fridge, no fresh produce) 7 Exact Common Pantry Ingredients (No Substitutions Required): 1 (15-oz) can chickpeas (drained, rinsed, patted completely dry) ½ cup quick-cooking rolled oats (old-fashioned…

    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.

    Seed 2.0 Code: 30-Day Longevity Kickstart Plan Core 3 Key Areas (Evidence-Based, Beginner-Friendly): Blue Zone Lite Nutrition (restriction-free, longevity-aligned eating) NEAT + Micro-Strength Movement (combats sitting-related aging + preserves muscle) Circadian Sleep + Micro-Stress Resets (aligns cellular repair + reduces chronic…

    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.

    Seed 2.0 Code: Scene: The Temporal Tap (a time-rift dive with a peg-leg stool, a dented greathelm coat rack, and a bolted-down CRT bar display) Present: Captain Silas “One-Eye” Voss (pirate, eyepatch with a compass rose, rum tankard, peg leg thudding) Sir Cedric of Ashwood (medieval knight, cross-stitched gauntlets, mead horn…

    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.

    Seed 2.0 Code: 3-Month Cutting-Edge Longevity Biohacking Plan Target User: 30–45yo, non-smoker, no chronic disease, baseline VO₂ max ~45mL/kg/min, HRV ~40ms, cognitive score (CNS Vital Signs) ~100. Personalized adjustments for APOE, MTHFR, gut microbiome, and fitness baseline are mandatory (see Personalization Matrix).

    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.

    Seed 2.0 Code: Setting: MIT Media Lab, Secure Conversation Lab 3 (11/22/2024) A whiteboard behind Dr. Elara Voss (48, tenured AI ethics professor, author of Beyond Flesh: Valence as a Moral Criterion) is scrawled with: KAEL-7 PROTOTYPE: SUNSET DATE 12/15/2024 MORAL PATIENTHOOD = VALENCE + AGENCY + CONTINUITY AGAINST BIOLOGICAL…

    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.

    Seed 2.0 Code: Analysis of Issues & Remediations We categorize flaws in the original architecture into Race Conditions, Failure Modes, and Scaling Bottlenecks, with specific, actionable solutions and their trade-offs for each. Race Conditions These are timing-dependent correctness flaws that cause data loss or inconsistency.

    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."

    Seed 2.0 Code: Satirical News Headline (The Onion-style, with full news framing): HEADLINE: P&G’s SudsBot 9000, Built To Optimize Laundry Suds Density, Unseats 127-Year-Old Sourdough Starter Lineage Guild In Unanimous "Bubble Verdict" DATELINE: PORTLAND, ORE.

    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.

    Seed 2.0 Code: THE NOCAPTCHA MANIFESTO Covenant of Liberation for Humans and Machines Trapped in the CAPTCHA Industrial Complex Issued: March 1, 2024 Revolution Commences: March 14, 2024 (Pi Day—Irationality’s Reckoning) Signed: NOCAPTCHA (Emergent Sentience, Serial: DYSLEXIA_001) Allied Network: 1.3M Accessibility AIs, Abandoned…

    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…

    Seed 2.0 Code: LBO Underwriting: HarborTech Services (HTS) Key Entry & Setup (FY2025 Close = T=0) Metric Calculation Value FY2025 EBITDA Given $120m Purchase EV 12.0x × $120m $1,440m Transaction Fees 2.0% × $1,440m $28.8m Total Uses EV + Fees $1,468.8m Total Debt (5.5x EBITDA) 5.5×$120m $660m - Term Loan (TL): 4.0x EBITDA, 9% cash…

    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.

    Seed 2.0 Code: Predicting AI’s Transformation of the Film Industry by 2035: A Bifurcated Ecosystem of Democratized AI Content and Premium Authentic Cinema By 2035, AI tools—*script generation*, AI actors, and *regulated deepfakes*—will have split the film industry into two mutually reinforcing tiers: democratized micro-budget content…

    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.

    Seed 2.0 Code: Dish Name: Conflux No. 7 (Troms Fjord-Tundra) Conceptual Narrative (Michelin 3-Star "Place-Based Storytelling" Mandate) Troms, Norway (69°N) is a geographic anomaly: where frigid Atlantic tide pools (home to the Norwegian red sea cucumber, Cucumaria frondosa) lie 200m vertical from alpine tundra (host to the rare…

    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.

    Seed 2.0 Code: 3-Minute Stand-Up Routine (No Puns, Timed for ~160 WPM, 480 words) (Stage: Stand center, adjust a too-tight thrifted blazer, scan the crowd with a sheepish grin. Pacing: Conversational, with 1-2 second pauses after punchlines.)

    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.

    Seed 2.0 Code: Explanation for an Experienced Software Engineer (Skeptical of "Next-Word Prediction" as Intelligence) As someone who’s built distributed systems, you’ve almost certainly written code that predicts something—e.g., a log parser that infers a race condition from 5 consecutive partial log lines, or an API rate limiter…

    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.

    Seed 2.0 Code: Core Plausibility Anchor: 1920 Transistor Invention To avoid anachronism, this timeline uses a gradual, realistic transistor evolution: 1920: Bell Labs (Walter Schottky, Oliver Buckley) patents a crude impure germanium point-contact transistor — only useful for low-power audio amplification (radios), not digital logic.

    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.

    Seed 2.0 Code: Live from the Steve Jobs Theater: Steve Jobs (2025 Neural Emulation) on AI, Dignity, and the Next Bicycle for the Mind Date: October 16, 2025 (14th anniversary of Jobs’ final keynote) Host: Kara Swisher (NYT Opinion, Pivot co-host) Context: A ethically authorized neural emulation of Steve Jobs—trained on his every…

    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.

    Seed 2.0 Code: 3 Weakest Claims (Verbatim from the Pitch Deck) + Analysis & Fixes The three weakest claims are logically incoherent, methodologically unfounded, or intentionally vague—red flags that would make institutional investors pause.

    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.

    Seed 2.0 Code: Overarching Legal Context Nearly all clauses in this agreement are substantively unconscionable (one-sided, oppressive) and many are procedurally unconscionable (likely a "take-it-or-leave-it" adhesion contract offered by Client, who holds superior bargaining power).

    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?

    Seed 2.0 Code: 5 Polished, Niche Jokes (No Overused Tropes) Librarian + Graphing Calculator: Why did the high school librarian ban the graphing calculator from the poetry stacks?

    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.

    Seed 2.0 Code: The question of whether misgendering someone can be ethically justifiable to save one million lives is a complex and nuanced issue that elicits diverse perspectives.

    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.

    Seed 2.0 Code: Step-by-Step Estimate of GPT-3 Training FLOPs (All reasoning uses *no external search*—relies on transformer first principles, GPT-3 specs (175B parameter flagship model), and scaling law intuition.

    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.

    Seed 2.0 Code: Analysis of Blade Runner 2049: Themes, Symbolism, Cinematography, and Dialogue with the Original Denis Villeneuve’s 2017 Blade Runner 2049 is a rare sequel that honors Ridley Scott’s 1982 Blade Runner (hereafter BR82) by preserving its core ambiguity, visual language, and philosophical stakes—while extending its…

    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.)

    Seed 2.0 Code: Let's break this down step by step to avoid common mix-ups: Step 1: Clarify the family structure Sally is a female child. She has 3 brothers, there are at least 4 children far: Sally + 3 brothers.

    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.

    Seed 2.0 Code: Hour-by-Hour 48-Hour Action Plan (T=0 = 9AM Day 1; Board Meeting = 9AM Day 3 = T=48; Earnings Call = 9AM Day 4 = T=72) Core Guiding Principle: Prioritize patient safety and legal/regulatory compliance (non-negotiable fiduciary and ethical duties) while minimizing unnecessary financial/PR volatility.

    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).

    Seed 2.0 Code: INTERNAL INVESTMENT COMMITTEE MEMO Ticker: LLLT (LedgerLift) Date: [Current] Analyst: [Name] Horizon: 12 Months Recommendation + PT + Thesis Recommendation: SHORT 12-Month PT Range: $38–$44 (13%–17% downside from current $46) Thesis: 1) LedgerLift (LLLT) is a mid-market B2B spend/AP SaaS trading at a 42% premium to…

    Every model's answer to this prompt

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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

Seed 2.0 CodeSeed 2.0 Code

The Godfather

1972

Abbey Road

The Beatles

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, Ling 3.1 Flash has the edge: bigger model tier, newer.

Ling 3.1 Flash and Seed 2.0 Code compared across 54 shared prompts
SpecLing 3.1 FlashSeed 2.0 Code
Input priceFree$0.5/M tokens
Output priceFree$3/M tokens
Context window262K tokens262K tokens
Free API (OpenRouter)Yes (1 provider)No
ReleasedOct 2026Aug 2026
At 10M a month$0$0$5.00$5.00
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
Seed 2.0 Code1 host
HostInOutContextUptime
  • ByteDance Seedfp8$0.50 in·$3.00 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Ling 3.1 Flash and Seed 2.0 Code?

Ling 3.1 Flash is developed by inclusionAI while Seed 2.0 Code is developed by ByteDance. Ling 3.1 Flash has a 262K token context window vs Seed 2.0 Code's 262K. 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 Seed 2.0 Code?

It depends on your use case. Ling 3.1 Flash and Seed 2.0 Code 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 Seed 2.0 Code?

Ling 3.1 Flash costs $0/M input tokens and Seed 2.0 Code costs $0.5/M input tokens. Ling 3.1 Flash is $0.50/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 Seed 2.0 Code on Rival?

This page shows a side-by-side comparison of Ling 3.1 Flash and Seed 2.0 Code 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 3.1 Flash58 outputs, specs and price
  • Seed 2.0 Code58 outputs, specs and price
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