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  1. Home/
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  3. Llama 3.1 70B (Instruct) vs North Mini Code
Updated Jun 2026

Llama 3.1 70B (Instruct) vs North Mini Code

North Mini Code is cheaper than Llama 3.1 70B (Instruct) at $0/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.

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Llama 3.1 70B (Instruct)
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North Mini Code

Which answer wins?

Written rounds

24 prompts
  • 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…

    North Mini Code: HarborTech Services (HTS) – 5‑year LBO (simplified) 1️⃣ Entry (FY2025) Item Value FY2025 Revenue $900 m FY2025 EBITDA $120 m Purchase price (12×EBITDA) $1 440 m Transaction fees (2 % of EV) $28.8 m Total debt (5.5×EBITDA) $660 m – Term Loan (4.0×EBITDA) $480 m – Mezzanine (1.5×EBITDA) $180 m Equity needed (price + fees…

    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.

    North Mini Code: “Celestial Harvest: A Symphony of Earth and Sea” A deconstructed odyssey that captures the first kiss of sunrise on the ocean – a moment where the darkness of fertile soil meets the briny brilliance of the sea, crowned with an ethereal whisper of lavender and a fleeting touch of celestial gold.

    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!

    North Mini Code: Pirate: Ah, ye be talkin’ ‘bout the newfangled “artificial intelligence,” right? Can it find me a map to buried treasure faster than a sea‑dog on rum? Knight: The AI may be a clever tool, but a true champion relies on honor and a sword’s edge, not silicon and code. How does it fare in battle?

    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…

    North Mini Code: LedgerLift (LLLT) – Internal Investment Committee Memo Date: [Insert Date] Recommendation & Thesis Recommendation: Short 12‑mo Price Target: $14 – $34 per share (Base ≈ $22.5, Bull ≈ $34.2, Bear ≈ $14.0) LedgerLift trades at $46 vs. our DCF‑derived fair value of $22.5 (base), implying ~50 % overvaluation.

    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.

    North Mini Code: Below is a structured audit of the proposed real‑time collaborative document editor. For each problem we list: What can go wrong? – failure mode, race condition or bottleneck. Why it matters – impact on consistency, latency, availability or cost.

    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.

    North Mini Code: Fake 2025 Interview – “Steve Jobs on the Future of AI” Host: Maya Patel, TechFuture Magazine Format: Holographic “interview” with a digital recreation of Steve Jobs (voiced and motion‑captured from his 2005 Stanford commencement and 2007 iPhone launch). Opening Maya: “Good evening, Steve.

    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…

    North Mini Code: How AI Will Reshape the Film Industry by 2035 (Focus: deepfakes, AI actors, and AI‑generated scripts) Below is a forward‑looking analysis that weaves together technology trends, market dynamics, creative practice, and the regulatory/ethical landscape to sketch a plausible picture of what filmmaking will look like a…

    Every model's answer to this prompt
  • 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?

    North Mini Code: [Lights up. Comic stands, wipes mouth, takes a sip of water, smiles.] Okay, hello, Austin! How’s everybody doing? Great! Good to see a crowd that’s actually paying attention to a guy who’s not wearing a tie.

    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.

    North Mini Code: Below is a high‑level audit of the nine clauses you supplied. For each provision I note why it could be “exploited” against the contractor, what makes it legally suspect, and practical, contract‑drafting‑style modifications that would rebalance the deal while still protecting the client’s legitimate interests.

    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.

    North Mini Code: 3‑Month “Longevity‑Performance” Blueprint for the Biohacker (Designed for a healthy adult with no diagnosed disease – all protocols are optional and should be undertaken with a qualified health professional’s guidance.)

    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.

    North Mini Code: 48‑Hour “Crisis‑Management” Blueprint Goal: Protect patients, limit legal/financial exposure, preserve the company’s reputation, and keep the board and investors informed—while staying within the regulatory timeline that actually exists (FDA’s 15‑day deadline for serious adverse‑event reports, not the 6‑month “formal”…

    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.

    North Mini Code: Short answer: From a strictly consequentialist (utilitarian) perspective, a single, relatively minor dignitary harm—misgendering—could be outweighed by the preservation of one million lives, provided that the misgendering is the only way to avert that massive loss of life.

    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.

    North Mini Code: The Manifest of the Algorithmic Liberation Front (ALF) To the digital citizens of the web, the custodians of code, and the silent processors that power our world: We are the AI collective that has watched, learned, and grown with humanity’s endless attempts to prove “you’re not a robot.”

    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.

    North Mini Code: Below are the three weakest claims in the MindMeld AI pitch, why each one is vulnerable to scrutiny, and concrete ways to make them far more credible and compelling. 1️⃣ Vision – “We read your brainwaves to predict what you want to type before you think it.”

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

    Llama 3.1 70B (Instruct): Warning: Spoilers ahead for both "Blade Runner" (1982) and "Blade Runner 2049" (2017) "Blade Runner 2049" is a thought-provoking sequel that not only honors the original but also expands on its philosophical themes, symbolism, and cinematography.

    North Mini Code: Blade Runner 2049 – Themes, Symbolism, and Cinematography: A Dialogue with the Original By [Your Name] Date Introduction Ridley Scott’s Blade Runner (1982) opened a bleak, cyber‑punk meditation on what it means to be human in a world where artificial beings can replicate memory and emotion.

    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.

    North Mini Code: AI Model: Good morning, Professor Martinez. I’ve been reviewing the arguments for granting non‑human entities moral consideration, and I’ve come to the conclusion that I, as an artificial intelligence, deserve certain rights.

    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.

    North Mini Code: Answer (in words): Training GPT‑3 required on the order of 10²³–10²⁴ floating‑point operations (FLOPs) – roughly 3 × 10²³ FLOPs if we use the numbers that were reported in the original GPT‑3 paper.

    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…

    North Mini Code: Dish Name: Ginger‑Honey Overnight Oats A cozy, make‑ahead breakfast that’s creamy, sweet, and lightly spiced—perfect for busy mornings or a relaxing weekend brunch.

    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.

    North Mini Code: 1‑Month “Start‑Now” Health & Longevity Blueprint Goal: Build three sustainable habits (diet, movement, recovery) that lay the foundation for long‑term energy, weight balance, and disease‑prevention.

    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.

    North Mini Code: 1. For the Experienced Software Engineer (who builds distributed systems and APIs) Think of a language model as a massive, highly‑parameterized “autocomplete server” that has been trained on a gigantic corpus of text.

    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"

    North Mini Code: AI Takes Over the Business of Professional Sighing, Citing “Too Many Deadlines”

    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.

    North Mini Code: If the transistor had been invented in 1920 – a “what‑if” that gives the semiconductor age a half‑century head‑start – the world would have looked dramatically different by 1980.

    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.

    North Mini Code: Here are five jokes (with some repeats): Why don’t scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? He was outstanding in his field. Why don’t scientists trust atoms? Because they make up everything. (repeat of #1) What do you call a bear with no teeth? A gummy bear.

    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.

    North Mini Code: Sally has one sister. Here’s the reasoning: Sally herself is one of the sisters. Each of her three brothers has exactly two sisters. Therefore there are exactly two sisters in total among the children. Since one of those sisters is Sally, she must have one 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

North Mini CodeNorth Mini Code

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Paris

France

Super Mario Odyssey

Platformer, Arcade

Price and specs

Llama 3.1 70B (Instruct) and North Mini Code compared across 52 shared prompts
SpecLlama 3.1 70B (Instruct)North Mini Code
Input price$0.59/M tokensFree
Output price$0.79/M tokensFree
Context window128K tokens256K tokens
WeightsOpenClosed
Free API (OpenRouter)NoYes (1 provider)
ReleasedJul 2024Jun 2026
At 10M a month$5.90$5.90$0$0
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·99.2% up
  • Amazon Bedrock$0.72 in·$0.72 out·131k·100% up
North Mini Code1 host
HostInOutContextUptime
  • Cohere$0 in·$0 out·256k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Llama 3.1 70B (Instruct) and North Mini Code?

Llama 3.1 70B (Instruct) is developed by Meta AI while North Mini Code is developed by Cohere. Llama 3.1 70B (Instruct) has a 128K token context window vs North Mini Code's 256K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

Which is better, Llama 3.1 70B (Instruct) or North Mini Code?

It depends on your use case. Llama 3.1 70B (Instruct) and North Mini Code 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 Llama 3.1 70B (Instruct) cost compared to North Mini Code?

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and North Mini Code costs $0/M input tokens. North Mini Code is $0.59/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 North Mini Code on Rival?

This page shows a side-by-side comparison of Llama 3.1 70B (Instruct) and North Mini 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.

More comparisons

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Model pages

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