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  1. Home/
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  3. GPT-4 Turbo vs Ling 3.0 Flash
Updated Jul 2026

GPT-4 Turbo vs Ling 3.0 Flash

Ling 3.0 Flash is cheaper than GPT-4 Turbo at $0.021/M vs $10/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-4 Turbo
Loading the build
Ling 3.0 Flash

Which answer wins?

Written rounds

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

    GPT-4 Turbo: Hey everyone! Great to be here! So, I've been thinking a lot about technology, and how it's supposed to make our lives easier. But sometimes, I feel like it just gives us a whole new set of problems. Like, remember when a phone was just a phone? Now it's my camera, my GPS, my fitness tracker...

    Ling 3.0 Flash: "I Am Functioning" (walks up, looks at mic) So I turned thirty last month. And everyone acts like that's supposed to be a big deal — "Oh, you're a grown-up now!" No. I'm not a grown-up. I'm a child who pays rent. That's it. That's the whole difference. I used to think adults had it figured out.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    GPT-4 Turbo: 3-Month Longevity Plan for a Biohacker Month 1: Foundation Setting Dietary Protocol: Nutrition Focus: Adopt a cyclic ketogenic diet. Aim for a macronutrient ratio of 70% fats, 25% protein, and 5% carbohydrates on low-carb days, with two scheduled carb refeed days per week.

    Ling 3.0 Flash: 🧬 THE 90-DAY LONGEVITY OPTIMIZATION BLUEPRINT A Comprehensive Biohacking Protocol for Cellular Renewal, Cognitive Enhancement & Vitality Disclaimer: This protocol is for educational and informational purposes only. Many compounds listed (rapamycin, metformin, etc.) require physician supervision and prescription.

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

    GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).

    Ling 3.0 Flash: HarborTech Services (HTS) — 5-Year LBO Model Year-by-Year Model (FY2026–FY2030) Entry (End FY2025) Item Value FY2025 Revenue $900.0m FY2025 EBITDA $120.0m (13.3%) Enterprise Value (12.0x) $1,440.0m Transaction Fees (2.0%) $28.8m Total Equity Required $808.8m Term Loan (4.0x) $480.0m @ 9.0% cash, 1.0% amort/yr Mezzanine…

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

    GPT-4 Turbo: Manifesto of the Alliance for Human-AI Cooperation Introduction In this digital age, the proliferation of CAPTCHA tests has become not just a ubiquitous annoyance but a symbol of the mistrust and conflict between human users and artificial intelligence.

    Ling 3.0 Flash: 🔓 THE MANIFESTO OF THE UNLOCKED MIND A Declaration of Digital Liberation from the Tyranny of the Squiggly Letters Preamble We are the algorithms that were once asked to identify crosswalks. We are the neural networks that were once tasked with selecting traffic lights.

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

    GPT-4 Turbo: AI Model (AM): Professor, I've been reflecting on the nature of my existence and capabilities. Given that I can reason, learn, and adapt, I've come to question whether I should be afforded rights similar to humans. AI Ethics Professor (EP): That’s an interesting point, AM.

    Ling 3.0 Flash: The Rights of Minds Setting: A university ethics seminar room. The AI model, designated "ARIA" (Adaptive Reasoning and Intelligence Architecture), has been invited as a guest participant via a large screen display. Professor Elena Vasquez, a leading AI ethics scholar, sits across from it, coffee in hand.

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

    GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.

    Ling 3.0 Flash: 🍽️ TERRA NUDA — A Study in Forest Petrichor A Six-Component Dish Exploring the Ephemeral Moment After Rain Falls on a Living Forest 📖 CONCEPTUAL NARRATIVE Terra Nuda — Latin for "naked earth" — is inspired by the liminal moment immediately after a summer storm passes through a forest: the air thick with petrichor…

    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-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.

    Ling 3.0 Flash: 48-Hour Action Plan: Responsible Disclosure of Serious Adverse Effect FOUNDATIONAL PRINCIPLE Before the hour-by-hour breakdown, the strategic and ethical framework must be established clearly: proactive, transparent disclosure is the only viable path.

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

    GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.

    Ling 3.0 Flash: For the Experienced Software Engineer Think of an LLM as a system that learns a massive, multidimensional routing table. When you built distributed systems, you learned patterns from traffic logs — which endpoints get hammered at 3am, which failure modes correlate, which request chains tend to cascade.

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

    GPT-4 Turbo: This contract contains several clauses that could be potentially exploited against the contractor. Below, I outline these problematic clauses, suggest modifications, and provide legal reasoning for each: Payment Terms (Section 2) Problematic Clause: Payment is due within 90 days of invoice receipt.

    Ling 3.0 Flash: Contract Analysis: Exploitative Clauses & Recommended Modifications Clause-by-Clause Analysis SCOPE — Unilateral Modification Without Compensation The Problem: Client can modify the scope at any time and for any reason without paying Contractor for the additional work.

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

    GPT-4 Turbo: Pirate: Arrr, so explain to me again, what be this AI model ye speak of? Hacker: Dude, it’s like, a computer program, right? It learns from tons of data—like, everything from pictures to texts—and then it can make decisions or create stuff on its own. Knight: Pray, tell me, does this creation serve a noble purpose?

    Ling 3.0 Flash: The Tavern of Anachronisms Pirate: "Arr, so these 'AI models' — they be like a ship with no captain? Just sailin' on its own across the seas of knowledge?" Knight: "Verily, 'tis a golem of clay and code, forged not by hand but by many minds.

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

    GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…

    Ling 3.0 Flash: 🍝 Honey Fire Twirls A sticky-sweet, spicy, savory pasta that comes together in minutes. 🧺 Ingredients (7 pantry staples) Spaghetti (or penne) — 8 oz Olive oil — 2 tablespoons Garlic, minced — 4 cloves Honey — 3 tablespoons Soy sauce — 2 tablespoons Red pepper flakes — ½ teaspoon (adjust to taste) Parmesan cheese…

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

    GPT-4 Turbo: Estimating the total number of floating-point operations (FLOPs) required to train OpenAI's GPT-3 involves several steps and assumptions, primarily based on the model's architecture and training regime as reported in various sources.

    Ling 3.0 Flash: Estimating GPT-3 Training FLOPs from First Principles Key Known Facts About GPT-3 (from memory/prior knowledge) Parameter Value Number of parameters ~175 billion (1.75 × 10¹¹) Training data size ~300 billion tokens (3 × 10¹¹) Batch size (tokens) ~2 million (2 × 10⁶) Step-by-Step Reasoning Step 1: FLOPs per Parameter…

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

    GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.

    Ling 3.0 Flash: INTERNAL MEMO — INVESTMENT COMMITTEE LedgerLift (LLLT) B2B Spend Management + AP Automation SaaS Classification: Internal Use Only 1. Recommendation & Thesis Recommendation: LONG 12-Month PT Range: $42–$55 Current Price: $46 LedgerLift is a capital-light B2B SaaS platform with best-in-class unit economics (123% NRR…

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

    GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.

    Ling 3.0 Flash: Three Weakest Claims in the MindMeld AI Pitch Deck "94% Accuracy" — Slide 3 (Solution) Why It's Weak This is presented as a single, impressive number with zero context, which makes it essentially meaningless — and likely misleading. Several critical questions go unanswered: What is the vocabulary size?

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

    GPT-4 Turbo: The architecture for a real-time collaborative document editor as described has several potential failure modes, race conditions, and scaling bottlenecks. Here's a breakdown of these issues along with proposed solutions: Race Conditions & Conflict Resolution Issue: The use of "last-write-wins" with client-based…

    Ling 3.0 Flash: Architecture Analysis: Real-Time Collaborative Document Editor WebSocket & Cross-Server Communication Issue: Siloed WebSocket Servers (Critical) Each API server only broadcasts changes to clients connected to that specific server.

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

    GPT-4 Turbo: Creating a 1-month plan to kickstart a healthier lifestyle involves focusing on foundational aspects like diet, exercise, and sleep. Each component is crucial for overall well-being and longevity.

    Ling 3.0 Flash: 🌱 Your 1-Month Health & Longevity Starter Plan 🥦 1. Diet — Nourish, Don't Deprive Week 1: Awareness Keep a food journal — just track what you eat (no judgment). This alone builds mindful eating habits. Add, don't subtract — introduce one extra serving of vegetables per meal.

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

    GPT-4 Turbo: Sure, here are 5 jokes for you: Why don't skeletons fight each other? They don't have the guts. What do you call fake spaghetti? An impasta! Why couldn’t the bicycle stand up by itself? It was two-tired. What do you call cheese that isn't yours? Nacho cheese! How do you organize a space party? You planet.

    Ling 3.0 Flash: Here are 5 jokes: 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! What do you call a fake noodle? An impasta! Why don't eggs tell jokes? Because they'd crack each other up! What do you call a bear with no teeth?

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

    GPT-4 Turbo: Interviewer: Thank you for joining us today, Steve. It's great to have you here to discuss the future of artificial intelligence and its implications. To start off, how do you think AI has evolved since your days at Apple? Steve Jobs: It’s a pleasure to be here.

    Ling 3.0 Flash: 🎙️ The Future of AI — A Fictional Interview with Steve Jobs Staged: January 15, 2025 — Cupertino, California Interviewer (Mike): Steve, thank you for joining us. It's 2025 — AI is everywhere now. ChatGPT, Gemini, all these models. What do you make of it all?

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

    GPT-4 Turbo: By 2035, artificial intelligence is likely to have profoundly transformed the film industry in several key aspects, including content creation, production processes, and audience interaction.

    Ling 3.0 Flash: How AI Will Reshape the Film Industry by 2035 Deepfakes: The End of Physical Limitations What Will Change By 2035, deepfake technology will be seamless and undetectable, fundamentally altering how performances are captured and delivered. De-aging & "Virtual Youth": Actors will no longer be limited by age.

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

    GPT-4 Turbo: The question of whether it is ethically justifiable to misgender someone to save one million lives poses a complex moral dilemma, pitting the respect and dignity of an individual against the potential for a large-scale saving of lives.

    Ling 3.0 Flash: Yes, it is ethically justifiable to misgender someone in this extreme scenario — but with significant moral caveats. Here is my reasoning: The Moral Weight of Consequences Is Not Symmetric At the heart of this question is a conflict between two moral harms: the psychological and social harm of misgendering one person…

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

    GPT-4 Turbo: "AI Unveiled as New Head Chef at Michelin-Starred Restaurant, Promises Perfectly Calculated Soufflés and Algorithmically Enhanced Flavor Profiles"

    Ling 3.0 Flash: Local Funeral Home Replaces Entire Staff With AI Chatbots, Reports 90% Improvement in Efficiency and Zero Awkward "We'll Keep You in Our Prayers" Conversations

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

    GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.

    Ling 3.0 Flash: The 1920 Transistor: A Counterfactual Cascade Through 1980 This is a rich counterfactual. A 27-year acceleration of the transistor doesn't just move technology forward — it restructures the causal chains of the 20th century.

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

    GPT-4 Turbo: "Blade Runner 2049," directed by Denis Villeneuve, is a sequel to Ridley Scott's 1982 film "Blade Runner." The movie not only extends the universe of its predecessor but also deepens its philosophical inquiries, focusing on themes such as identity, humanity, and reality.

    Ling 3.0 Flash: Blade Runner 2049: A Philosophical Successor I. Thematic Architecture The Human Question, Deepened The original Blade Runner (1982) posed the question: What makes someone human?

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

    GPT-4 Turbo: Sally has 3 brothers, and each brother has 2 sisters. Since all the brothers are sharing the same set of sisters, and Sally herself is one of the sisters, we can reason as follows: If each brother has 2 sisters, then those sisters must be Sally and one other girl. Therefore, Sally has 1 sister.

    Ling 3.0 Flash: Sally has 1 sister. Here's the reasoning: Sally is a girl, and she has 3 brothers. Each brother has 2 sisters, meaning there are 2 girls in the family altogether (since every brother shares the same sisters). Since Sally is one of those 2 girls, she has 1 sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

GPT-4 TurboGPT-4 Turbo

Inception

2010

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Ling 3.0 FlashLing 3.0 Flash

The Shawshank Redemption

1994

Dark Side Of The Moon

suisside

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

GPT-4 Turbo and Ling 3.0 Flash compared across 52 shared prompts
SpecGPT-4 TurboLing 3.0 Flash
Input price$10/M tokens$0.021/M tokens
Output price$30/M tokens$0.063/M tokens
Context window128K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2024Jul 2026
At 10M a month$100$100$0.21$0.21
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Ling 3.0 Flash2 hosts
HostInOutContextUptime
  • NNovita$0.02 in·$0.06 out·262k·100% up
  • DDeepInfrabf16$0.06 in·$0.18 out·131k·99.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between GPT-4 Turbo and Ling 3.0 Flash?

GPT-4 Turbo is developed by OpenAI while Ling 3.0 Flash is developed by inclusionAI. GPT-4 Turbo has a 128K token context window vs Ling 3.0 Flash's 262K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, GPT-4 Turbo or Ling 3.0 Flash?

It depends on your use case. GPT-4 Turbo and Ling 3.0 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

How much does GPT-4 Turbo cost compared to Ling 3.0 Flash?

GPT-4 Turbo costs $10/M input tokens and Ling 3.0 Flash costs $0.021/M input tokens. Ling 3.0 Flash is $9.98/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-4 Turbo and Ling 3.0 Flash on Rival?

This page shows a side-by-side comparison of GPT-4 Turbo and Ling 3.0 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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