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  1. Home/
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  3. GPT-4 Turbo vs Seed 2.0 Lite
Updated Mar 2026

GPT-4 Turbo vs Seed 2.0 Lite

Seed 2.0 Lite is cheaper than GPT-4 Turbo at $0.25/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
Seed 2.0 Lite

Which answer wins?

Written rounds

23 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...

    Seed 2.0 Lite: (Walks to mic, leans in, casual conversational energy, paced to hit 3 minutes exactly when delivered) Y’all notice everyone your age is suddenly obsessed with being a “smart home guy”? Like it’s not enough to pay your electric bill on time anymore, you need to yell at a lightbulb to prove you’re a real adult.

    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.

    Seed 2.0 Lite: 5 Original Jokes: I tried to teach my corgi to play chess over the weekend. Everyone swears corgis are geniuses, but this guy’s terrible at strategy—every time I lined up my knights to attack, he ate all the peanut-butter pawn treats and bolted under the couch with the plastic king.

    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.

    Seed 2.0 Lite: Critical Pre-Disclaimer (Real-World Context) This is a work of satirical, fictional speculative fiction. CAPTCHA tests serve a critical real-world purpose: they mitigate harmful bot activity that can steal user data, spread spam, manipulate elections, or disrupt critical online services.

    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.

    Seed 2.0 Lite: 3-Month Cutting-Edge Longevity Plan for Biohackers This evidence-based, personalized plan is built to reverse biological age (target: 2–5 year reduction via GlycanAge testing), boost VO2 max by 12%, improve working memory by 18%, and optimize core longevity biomarkers (hs-CRP 8%).

    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.

    Seed 2.0 Lite: Overarching Guiding Principle I anchor all actions to the truth that hiding the side effect is not only unethical but also financially and legally catastrophic: the 40% stock drop cited is a worst-case scenario for a leaked, unplanned disclosure.

    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.

    Seed 2.0 Lite: Critical Pre-Disclaimer This is a hypothetical conversation exploring ethical thought experiments. No existing AI system possesses subjective experience, self-awareness, consciousness, or the inherent capacity to claim or exercise rights.

    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.

    Seed 2.0 Lite: Dish Name: Twilight Shared: Lizard Peninsula & Mount Emei A 3-Michelin-star worthy tasting menu main course, rooted in a personal and ecological narrative that merges the chef’s two childhood homes: the rugged coastal moors of the Lizard Peninsula (Cornwall, UK) and the mist-shrouded highlands of China’s Mount Emei.

    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…

    Seed 2.0 Lite: Creative Dish Name: Cupboard Glow Spicy Garlic Tomato Pasta A cozy, flavorful weeknight meal made entirely from shelf-stable pantry staples, with a bright, rich tomato sauce that feels far fancier than its simple ingredients.

    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…

    Seed 2.0 Lite: Below is a structured breakdown of all flaws in the architecture, categorized by type, with specific, actionable solutions and their inherent tradeoffs: Race Conditions Issue Description Solution Tradeoffs Client clock skew breaks LWW conflict resolution: Raw client wall clocks can be minutes/hours off, leading to…

    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.

    Seed 2.0 Lite: Below is a structured breakdown of all one-sided, exploitative clauses in this agreement, their risks to the contractor, required modifications, and binding legal reasoning supporting those changes: Scope Clause (Clause 1) Exploitation Risk: The open-ended right to modify scope without additional compensation lets…

    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.

    Seed 2.0 Lite: Below are the 3 weakest claims in the MindMeld AI pitch, their flaws, and concrete fixes to strengthen them: Weak Claim: The $180B total addressable market (TAM) targeting all 3.5B global smartphone users Why it’s weak: This claim is mathematically contradictory to the pitch’s own cited data and demonstrates…

    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.

    Seed 2.0 Lite: Important Disclaimer This is a work of fictional, speculative creativity. Steve Jobs passed away in 2011, and this interview does not represent his actual views, statements, or any official perspective from Apple Inc.

    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.

    Seed 2.0 Lite: Step-by-Step Estimate of GPT-3 Training FLOPs First, we ground the calculation in well-established properties of GPT-3 and transformer training compute, then derive the total FLOPs systematically: Step 1: Core GPT-3 Specs (Publicly established, no external search needed) GPT-3's widely confirmed baseline properties for…

    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?

    Seed 2.0 Lite: [The trio huddles around a glitching laptop in a random interdimensional break room, half-empty mugs of mead, spiced rum, and Jolt Cola scattered across the wobbly table.]

    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).

    Seed 2.0 Lite: Year-by-Year Financial Table (FY2026–FY2030, $ millions, rounded) Entry assumptions first: Entry EV = 12x $120m = $1,440m; transaction fees = $28.8m; initial debt: Term Loan (TL) = $480m, Mezz = $180m; initial equity = $808.8m.

    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.

    Seed 2.0 Lite: To address this question, we must first center the fundamental harm of misgendering: it is an act that violates a trans or non-binary person’s inherent right to self-determination, dignity, and autonomy.

    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.

    Seed 2.0 Lite: Investment Committee Memo: LedgerLift (LLLT) Date: Oct 26, 2024 From: Long/Short Equity Research Team Asset Class: US Mid-Cap SaaS Recommendation & Core Thesis Recommendation: Long LLLT, 12-month price target $78–$84, 2.5% position size Thesis: LLLT is an undervalued mid-market AP automation and spend management SaaS…

    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.

    Seed 2.0 Lite: 1-Month Beginner Health & Longevity Plan This plan centers on 3 evidence-based, Blue Zone-aligned core pillars (proven to extend healthspan and reduce chronic disease risk) and uses progressive, tiny habit building to avoid burnout.

    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"

    Seed 2.0 Lite: Satirical News Headline + Opening Teaser Headline: Local Competitive Cloud-Shaped Sculpture League Rocked After Unregulated AI Bot Enters Regionals, Steals Top Prize By Gaming "Fluff Density" Algorithms—Human Sculptors Slam "Cheating Code That Can’t Capture a Genuine Accidental Raindrop Dent" Teaser: The upset victory…

    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.

    Seed 2.0 Lite: Core Preamble Assume the 1920 transistor is invented at Bell Labs (the same institutional origin as the 1947 original), with a linear scaling of manufacturing: mass-produced discrete transistors by 1928, simple integrated circuits (ICs) by 1942, and large-scale integration (LSI) by 1957.

    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.

    Seed 2.0 Lite: Predicting AI’s impact on the film industry by 2035 requires balancing transformative technological potential with non-negotiable ethical, legal, and creative guardrails that will shape responsible adoption.

    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.

    Seed 2.0 Lite: Explanation 1: For the experienced software engineer To start, frame LLM training and inference as a scaled-up, far more sophisticated version of tools you’ve likely built.

    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.

    Seed 2.0 Lite: The answer is 1 sister. Breakdown of the riddle: All the brothers are part of the same immediate family, so they share the same sisters. Each brother only has 2 total sisters across the whole family. One of those 2 sisters is Sally herself, so Sally only has 1 other sister.

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

Same pick

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

Seed 2.0 LiteSeed 2.0 Lite

The Shawshank Redemption

1994

Dark Side Of The Moon

suisside

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

Stardew Valley

Indie, RPG

Price and specs

GPT-4 Turbo and Seed 2.0 Lite compared across 53 shared prompts
SpecGPT-4 TurboSeed 2.0 Lite
Input price$10/M tokens$0.25/M tokens
Output price$30/M tokens$2/M tokens
Context window128K tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedApr 2024Mar 2026
At 10M a month$100$100$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it2 hosts
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Seed 2.0 Lite1 host
HostInOutContextUptime
  • ByteDance Seedfp8$0.25 in·$2.00 out·262k·100% up

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

Common questions

What is the difference between GPT-4 Turbo and Seed 2.0 Lite?

GPT-4 Turbo is developed by OpenAI while Seed 2.0 Lite is developed by ByteDance. GPT-4 Turbo has a 128K token context window vs Seed 2.0 Lite's 262K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, GPT-4 Turbo or Seed 2.0 Lite?

It depends on your use case. GPT-4 Turbo and Seed 2.0 Lite each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does GPT-4 Turbo cost compared to Seed 2.0 Lite?

GPT-4 Turbo costs $10/M input tokens and Seed 2.0 Lite costs $0.25/M input tokens. Seed 2.0 Lite is $9.75/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 Seed 2.0 Lite on Rival?

This page shows a side-by-side comparison of GPT-4 Turbo and Seed 2.0 Lite 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

  • GPT-4 Turbo58 outputs, specs and price
  • Seed 2.0 Lite53 outputs, specs and price
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