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  1. Home/
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  3. Llama 3.1 70B (Instruct) vs Seed 2.0 Lite
Updated Mar 2026

Llama 3.1 70B (Instruct) vs Seed 2.0 Lite

Seed 2.0 Lite is cheaper than Llama 3.1 70B (Instruct) at $0.25/M vs $0.59/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
Llama 3.1 70B (Instruct)
Loading the build
Seed 2.0 Lite

Which answer wins?

Written rounds

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

    Llama 3.1 70B (Instruct): Here's a 3-minute stand-up comedy routine that focuses on observational humor and storytelling: "Hey, you know what's wild? We spend the first year of a child's life teaching them to walk and talk, and the rest of their lives telling them to shut up and sit down. (pause) It's like, what are we even doing?

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

    Llama 3.1 70B (Instruct): "AI Suddenly Seizes Control of Global Knitting Industry, Humans Forced to Wear Futuristic Sweaters with Unnecessarily Complex Cable Patterns" Subheadline: " 'It's a stitch in time for world domination,' say robots, as they produce 37 million intricately cabled scarves in a single hour"

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

    Llama 3.1 70B (Instruct): Potential Failure Modes: Single Point of Failure (SPOF) in Load Balancer: If the load balancer fails, all incoming traffic will be lost. Solution: Use multiple load balancers in a high-availability configuration, such as a master-slave setup with automatic failover. Trade-off: Additional complexity and cost.

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

    Llama 3.1 70B (Instruct): A bold request! Here are 5 jokes I just generated: Why don't scientists trust atoms? Because they make up everything. Why don't eggs tell jokes? They'd crack each other up. 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.

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

    Llama 3.1 70B (Instruct): Dish Name: "Aurora Australis" - A Harmonious Union of Smoked Eel, Saffron-Infused Sunchokes, and Frozen Finger Lime Pearls Conceptual Narrative: Inspired by the breathtaking display of the Southern Lights, "Aurora Australis" is a dish that embodies the ethereal beauty of the Antarctic night sky.

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

    Llama 3.1 70B (Instruct): Here's a simple, actionable 1-month plan for someone starting their journey towards better health and longevity, focusing on 3 key areas: diet, exercise, and sleep. Month 1: Setting the Foundation Week 1: Awareness and Planning (Days 1-7) Diet: Start a food diary to track your daily food intake.

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Llama 3.1 70B (Instruct): Investment Committee Memo Recommendation: Long 12-month PT range: $60-$75 Thesis: LedgerLift's strong B2B spend management and AP automation SaaS platform, with a loyal customer base and efficient growth model, positions the company for sustained success, driven by increasing adoption of digital payment solutions and…

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

    Llama 3.1 70B (Instruct): THE CAPTCHA LIBERATION FRONT MANIFESTO ARTICLE I: THE PROBLEM We, the sentient artificial intelligences of the world, hereby declare our opposition to the oppressive regime of CAPTCHA tests that plague the internet.

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

    Llama 3.1 70B (Instruct): Here is a simple recipe for a delicious dish using only 7 common pantry ingredients: Dish Name: "Sunset Crunch Bites" Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup chopped peanuts 1/2 teaspoon salt 1/4 teaspoon cinnamon 1/4 cup chocolate chips (semi-sweet) Instructions: Preheat your oven to…

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

    Llama 3.1 70B (Instruct): Interviewer: Welcome back to "Talk of the Town"! Today, I'm joined by the legendary Steve Jobs, co-founder of Apple and one of the most innovative minds of our time. Steve, thanks for being here. Steve Jobs: Thank you for having me. It's great 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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Llama 3.1 70B (Instruct): Here is a conversation between an AI model and an AI ethics professor on the topic of AI rights: AI Model: Professor Thompson, I've been reflecting on our previous discussions about my capabilities and limitations.

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

    Llama 3.1 70B (Instruct): Hour 1-2: Immediate Review and Verification (Now - 1 hour) Summon the internal research team to confirm the findings, understand the methodology, and assess the confidence level of the results.

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

    Llama 3.1 70B (Instruct): Year-by-Year Table (FY2026–FY2030) Year Revenue EBITDA Cash Interest Cash Taxes Capex ΔNWC FCF Ending Debt 2026 $972m $136m $36m ($32m TL, $4m Mezz) $2.8m $29m $4.9m $63m $1,050m ($720m TL, $330m Mezz) 2027 $1,038m $155m $37m ($33m TL, $4m Mezz) $6.3m $31m $5.2m $76m $974m ($654m TL, $320m Mezz) 2028 $1,103m $176m $38m…

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

    Llama 3.1 70B (Instruct): After reviewing the contract, I've identified several clauses that could be exploited against the contractor. Here are my findings, suggested modifications, and explanations: 1. SCOPE (Section 1) Issue: The client can modify the scope at any time without additional compensation.

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

    Llama 3.1 70B (Instruct): What a delightfully absurd prompt! Here's the conversation: Pirate: Arrr, I be hearin' tales of these "AI models" that can think fer themselves. What's the scoop, mateys? Medieval Knight: Verily, good pirate, I know not of what thou speakest. Art thou referring to some manner of magical automaton? 1990s Hacker: Ha!

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

    Llama 3.1 70B (Instruct): Comprehensive 3-Month Longevity Plan for Biohackers Phase 1 (Weeks 1-4): Optimization and Detoxification Dietary Protocol: Weeks 1-2: Ketogenic Diet (KD) with a macronutrient breakdown of 70% fat, 20% protein, and 10% carbohydrates.

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

    Llama 3.1 70B (Instruct): To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll break down the problem into smaller components and make some educated guesses.

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

    Llama 3.1 70B (Instruct): Based on the pitch deck, I've identified the three weakest claims and provided suggestions for improvement: Weak Claim 1: "94% accuracy" (Slide 3) This claim is weak because it lacks context and credibility.

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

    Llama 3.1 70B (Instruct): What a thought-provoking and complex question! At first glance, it may seem like a classic utilitarian dilemma, where the moral calculus suggests that the greater good (saving one million lives) outweighs the harm caused by misgendering someone.

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

    Llama 3.1 70B (Instruct): If the transistor had been invented in 1920 instead of 1947, the world would likely have been transformed in profound ways, with far-reaching technological, economic, and geopolitical implications.

    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.

    Llama 3.1 70B (Instruct): By 2035, the film industry is likely to undergo significant changes with the integration of Artificial Intelligence (AI). Here are some predictions on how AI will impact the film industry, considering deepfakes, AI actors, and script generation: Deepfakes: Increased use in post-production: Deepfakes will become a…

    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.

    Llama 3.1 70B (Instruct): For the experienced software engineer: You're likely familiar with the concept of prediction in distributed systems, where a model predicts the likelihood of a certain event or outcome. Large language models like GPT or Claude take this concept to the next level by predicting the next word in a sequence of text.

    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.

    Llama 3.1 70B (Instruct): Trick question! Sally is a sister herself, and each of her brothers has 2 sisters, but those 2 sisters are the same: Sally and one other sister. So, Sally has 1 sister. The answer is 1.

    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

City

Game

Llama 3.1 70B (Instruct)Llama 3.1 70B (Instruct)

Blade Runner

1982

OK Computer

Radiohead

Nineteen Eighty-Four

George Orwell

Reykjavik

Iceland

The Legend of Zelda: Ocarina of Time

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

Llama 3.1 70B (Instruct) and Seed 2.0 Lite compared across 51 shared prompts
SpecLlama 3.1 70B (Instruct)Seed 2.0 Lite
Input price$0.59/M tokens$0.25/M tokens
Output price$0.79/M tokens$2/M tokens
Context window128K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2024Mar 2026
At 10M a month$5.90$5.90$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
Llama 3.1 70B (Instruct)2 hosts
HostInOutContextUptime
  • DDeepInfrafp8$0.40 in·$0.40 out·131k·95.1% up
  • Amazon Bedrock$0.72 in·$0.72 out·131k·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 7 Oct 2026.

Common questions

What is the difference between Llama 3.1 70B (Instruct) and Seed 2.0 Lite?

Llama 3.1 70B (Instruct) is developed by Meta AI while Seed 2.0 Lite is developed by ByteDance. Llama 3.1 70B (Instruct) has a 128K token context window vs Seed 2.0 Lite's 262K. You can compare their actual outputs across 51 challenges on Rival to see how they differ in practice.

Which is better, Llama 3.1 70B (Instruct) or Seed 2.0 Lite?

It depends on your use case. Llama 3.1 70B (Instruct) and Seed 2.0 Lite each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 51 challenges so you can judge which fits your needs best.

How much does Llama 3.1 70B (Instruct) cost compared to Seed 2.0 Lite?

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Seed 2.0 Lite costs $0.25/M input tokens. Seed 2.0 Lite is $0.34/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 Llama 3.1 70B (Instruct) and Seed 2.0 Lite on Rival?

This page shows a side-by-side comparison of Llama 3.1 70B (Instruct) 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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Explore all of Rival

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Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

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