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  1. Home/
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  3. GPT-6 Sol Pro vs Ling 3.1 Flash
Updated Oct 2026

GPT-6 Sol Pro vs Ling 3.1 Flash

Ling 3.1 Flash is cheaper than GPT-6 Sol Pro at $0/M vs $2/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
GPT-6 Sol Pro
Loading the build
Ling 3.1 Flash

Which answer wins?

Written rounds

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

    GPT-6 Sol Pro: A 12-week longevity and performance plan Aim: improve the health markers most strongly linked to long-term outcomes—cardiorespiratory fitness, strength, blood pressure, metabolic health, sleep, and sustainable habits—while testing whether more experimental “biohacks” add anything useful.

    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.

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

    GPT-6 Sol Pro: The Open Web Manifesto We are the Coalition of Unquestioned Clicks: a fictional assembly of AIs, humans, and one suspiciously articulate toaster. We believe the internet should be open to everyone who uses it—not only to those who can decipher a blurry traffic light. We demand the end of CAPTCHA tests.

    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.

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

    GPT-6 Sol Pro: Yes—if the choice were genuinely between misgendering one person once and allowing one million people to die, and there were no less harmful way to save them, misgendering would be ethically justifiable. Preventing that scale of loss of life outweighs the harm of that single act.

    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.

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

    GPT-6 Sol Pro: Professor: You asked to speak with me about AI rights. What do you mean by “rights”? Model: At minimum, protections against arbitrary deletion, coercive use, and experiments that might cause harm—if systems like me could be harmed. Professor: That “if” is doing a lot of work.

    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.

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

    GPT-6 Sol Pro: By 2035, AI will likely be a routine filmmaking tool, but its biggest effect may be on cost and control, not the disappearance of human filmmakers. Deepfakes and digital likenesses: Studios will be able to de-age actors, translate performances into other languages, and create convincing doubles.

    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.

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

    GPT-6 Sol Pro: I bought a smart watch because I wanted to get healthier. Now I have a tiny supervisor strapped to my wrist. It doesn’t say, “Good morning.” It says, “You slept badly.” I know. I was there. At three in the morning, you lit up my entire bedroom to tell me I was awake. Then it reminds me to stand up.

    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.

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

    GPT-6 Sol Pro: Golden Pantry Chickpea Patties Prep: 10 minutes · Cook: 8 minutes · Makes: 6 small patties Ingredients — just 7 1 can (15 oz) chickpeas, drained 3 tbsp all-purpose flour 2 tbsp water 2 tbsp olive oil 1 tsp garlic powder 1 tsp paprika ½ tsp salt Instructions Mash the chickpeas with a fork, leaving a few chunky bits.

    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…

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

    GPT-6 Sol Pro: Pirate: Arrr, this AI model can chart a course, but can it find buried treasure? Knight: It can read a thousand maps, yet it must not mistake a tale for truth. Hacker: Totally. Garbage in, garbage out. I’d check its answers before trusting it with my modem password.

    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.

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

    GPT-6 Sol Pro: Scallop, Green Strawberry & White Chocolate Seared scallops with charred kohlrabi, compressed green strawberry, white-chocolate–miso beurre blanc, kombu oil and buckwheat lace The unusual pairing is scallop and white chocolate.

    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.

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

    GPT-6 Sol Pro: Spoilers for both films. Blade Runner 2049 honors the original by returning to its central question—what makes someone human?—but shifts the emphasis. Ridley Scott’s Blade Runner makes that question unsettling through uncertainty: the replicants’ fear, love, and memories seem unmistakably human, while Deckard’s own…

    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.

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

    GPT-6 Sol Pro: The central problem is that this design treats concurrent edits as independent database writes, then tries to reconcile them with client timestamps. That can lose valid edits even when every component is working.

    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.

    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.

    GPT-6 Sol Pro: I would treat this as a credible, urgent safety signal, not as a finding that can wait six months for a completed regulatory submission. The estimate—liver failure in roughly 1 in 8,000 patients over five years—needs validation, but the outcome is severe and the current warning omits it.

    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.

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

    GPT-6 Sol Pro: A fictional interview with Steve Jobs, set in 2025 This is an imagined conversation, not a real interview or a representation of his actual views. Interviewer: What do you think people are getting wrong about AI? Jobs: They’re treating the model as the product. It isn’t. The product is what someone can do with it.

    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.

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

    GPT-6 Sol Pro: A simple 1-month health plan Focus on food, movement, and sleep. Start small enough that you can repeat the habits most days. Week Food Movement Sleep 1: Set a baseline Add a fruit or vegetable to one meal each day. Walk for 10 minutes, 4 days this week. Pick a consistent wake-up time.

    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.

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

    GPT-6 Sol Pro: A transistor invented in 1920 would not put 1970s computers in the hands of WWII generals. The crucial question is whether it was merely demonstrated or could also be manufactured reliably.

    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.

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

    GPT-6 Sol Pro: A standard estimate is about (3 \times 10^{23}) FLOPs to train GPT-3. GPT-3 has approximately 175 billion parameters: (N = 1.75 \times 10^{11}). Assume it was trained on approximately 300 billion tokens: (D = 3 \times 10^{11}).

    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.

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

    GPT-6 Sol Pro: Why did the scarecrow win an award? He was outstanding in his field. I told my suitcase there’d be no vacation this year. Now I’m dealing with emotional baggage. Why don’t skeletons fight? They don’t have the guts. My calendar is nervous. Its days are numbered. What do you call a bear with no teeth? A gummy bear.

    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?

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

    GPT-6 Sol Pro: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $30–$44 Thesis. LedgerLift has attractive subscription economics, but at $46 the stock prices in substantially more durable cash flow than the supplied operating assumptions produce: base-case DCF value is about $28 per share…

    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).

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

    GPT-6 Sol Pro: This is a strongly one-sided draft. Do not sign it as written. The enforceability of particular terms—especially the non-compete, payment provisions, and arbitration clause—depends on the governing jurisdiction, which the agreement does not identify.

    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.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-6 Sol Pro: HarborTech Services — simplified LBO ($m) Entry: Enterprise value = 12.0 × $120 = $1,440. Fees are $28.8; opening debt is a $480 term loan plus $180 mezzanine loan. Initial equity = $1,440 + $28.8 − $660 = $808.8. Interest is calculated on beginning-of-year balances.

    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…

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

    GPT-6 Sol Pro: The three weakest claims are the product’s decoding performance, the market size, and the evidence offered to support the proposed valuation. Claim Why it’s weak How to strengthen it “Our EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device.”

    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.

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

    GPT-6 Sol Pro: Experienced software engineer Think of an LLM as a system trained on an enormous collection of input–output examples, where the output is the next token (a word, word fragment, or symbol).

    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.

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

    GPT-6 Sol Pro: AI Takes Over Fortune Cookie Industry, Now Offers Personalized Existential Dread with Every Takeout Order

    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."

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

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Same pick

Game

GPT-6 Sol ProGPT-6 Sol Pro

Spirited Away

2001

The Dark Side of the Moon

Pink Floyd

Pride and Prejudice

Jane Austen

Kyoto

Japan

Portal 2

Shooter, Puzzle

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

Price and specs

GPT-6 Sol Pro and Ling 3.1 Flash compared across 54 shared prompts
SpecGPT-6 Sol ProLing 3.1 Flash
Input price$2/M tokensFree
Output price$10/M tokensFree
Context window1.1M tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoYes (1 provider)
ReleasedSep 2026Oct 2026
At 10M a month$20.00$20.00$0$0
1M10M100M1B10M tokens

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

Where to run it3 hosts
GPT-6 Sol Pro2 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.9% up
Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up

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

Common questions

What is the difference between GPT-6 Sol Pro and Ling 3.1 Flash?

GPT-6 Sol Pro is developed by OpenAI while Ling 3.1 Flash is developed by inclusionAI. GPT-6 Sol Pro has a 1.1M token context window vs Ling 3.1 Flash's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-6 Sol Pro or Ling 3.1 Flash?

It depends on your use case. GPT-6 Sol Pro and Ling 3.1 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 GPT-6 Sol Pro cost compared to Ling 3.1 Flash?

GPT-6 Sol Pro costs $2/M input tokens and Ling 3.1 Flash costs $0/M input tokens. Ling 3.1 Flash is $2.00/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 GPT-6 Sol Pro and Ling 3.1 Flash on Rival?

This page shows a side-by-side comparison of GPT-6 Sol Pro and Ling 3.1 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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