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  1. Home/
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  3. Llama 3 70B vs Ring 2.6 1T
Updated May 2026

Llama 3 70B vs Ring 2.6 1T

Ring 2.6 1T is cheaper than Llama 3 70B 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.

Loading the build
Llama 3 70B
Loading the build
Ring 2.6 1T

Which answer wins?

Written rounds

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

    Llama 3 70B: Here's a simple recipe for a delicious dish using only 7 common pantry ingredients: Dish Name: "Sunny Spice Crunch" Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/2 cup honey 1/4 cup chopped walnuts 1/4 teaspoon cinnamon 1/4 teaspoon vanilla extract Pinch of salt Instructions: Preheat your oven to 350°F…

    Ring 2.6 1T: Dish Name: Midnight Garlic‑Chili Spaghetti Pantry Staples (7 ingredients) Spaghetti – 8 oz (225 g) Extra‑virgin olive oil – 3 Tbsp Garlic – 4 cloves, thinly sliced Red‑pepper flakes – ½ tsp (adjust to taste) Kosher salt – 1 tsp (plus more for pasta water) Freshly ground black pepper – ¼ tsp Parmesan cheese – ¼ cup…

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

    Llama 3 70B: Here are the requested items: 1. Simplified Year-by-Year Table (FY2026-FY2030) Year Revenue EBITDA Cash Int. (TL) Cash Int. (Mz) Cash Taxes Capex ΔNWC FCF TL Balance Mz Balance 2026 972 136.08 36.00 18.00 17.12 29.16 4.86 30.90 360.00 135.00 2027 1037.84 154.78 33.60 19.44 20.45 31.13 5.19 44.12 315.88 133.56 2028…

    Ring 2.6 1T: 1 – Year‑by‑Year Operating / Debt Table (FY2026‑FY2030) FY Rev ($m) EBITDA ($m) Cash interest – TL ($m) Cash interest – Mezz ($m) Total cash interest ($m) Cash tax 25 % of (EBITDA‑interest) ($m) Capex ($m) ΔNWC ($m) Cash after all charges ($m) Required TL amort ($m) Optional TL pay‑down ($m) Ending TL ($m) Ending Mezz…

    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 70B: Here is a specific, hour-by-hour action plan for the next 48 hours: Hour 1-2: Immediately assemble an emergency meeting with the executive team, including the Chief Medical Officer (CMO), Chief Scientific Officer (CSO), and General Counsel to discuss the situation and potential next steps.

    Ring 2.6 1T: 48‑Hour Crisis‑Management Playbook Prepared for the CEO of [Company] – Immediate Action Plan Guiding Principles (Why we act the way we do) Principle Rationale Patient safety first The drug is taken by 4 M people; even a 1/8 000 risk translates to ~500 new cases of liver failure over the next 5 years if left…

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

    Llama 3 70B: What a delightful contract! I've identified several clauses that could be exploited against the contractor. Here are my findings, suggested modifications, and legal reasoning: 1. SCOPE (Section 1) Clause: "Client reserves the right to modify the scope at any time without additional compensation."

    Ring 2.6 1T: Summary The agreement is heavily one‑sided. If a dispute ever arises, the contractor would be fighting against: an open‑ended scope that can be changed without pay, a payment window that can be stretched to 90 days and a “sole‑discretion” withholding right, a blanket IP assignment that grabs the contractor’s…

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

    Llama 3 70B: What a fascinating thought experiment! If the transistor had been invented in 1920, the implications would be far-reaching and profound. Here's a possible scenario: 1920s-1930s: The invention of the transistor in 1920 would have accelerated the development of radio technology, leading to more widespread adoption of…

    Ring 2.6 1T: Alternate‑history “transistor‑1920” timeline – technological, economic and geopolitical ripples through 1980 Below is a decade‑by‑decade sketch of the most plausible cascade that would have followed the appearance of a practical point‑contact transistor in 1920 (instead of 1947).

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

    Llama 3 70B: Here is a simple, actionable 1-month plan for someone starting their journey towards better health and longevity, focusing on three key areas: diet, exercise, and sleep. Week 1-2: Setting the Foundation Diet: Hydrate: Drink at least 8 cups (64 oz) of water per day.

    Ring 2.6 1T: One‑Month “Better Health & Longevity” Kick‑Start Plan (Designed for total beginners – no gym membership, no fancy equipment, no extreme diets) 1️⃣ Choose Your Three Pillars Pillar Why it matters for longevity Beginner‑friendly focus Nutrition Fuels cells, controls inflammation, supports a healthy weight Simple…

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

    Llama 3 70B: Comprehensive 3-Month Longevity Plan for Biohackers Month 1: Foundation and Optimization Dietary Protocol: Ketogenic Diet: Start with a cyclical ketogenic diet (CKD) with a 5:2 ratio (5 days of ketogenic diet, 2 days of high-carb refeeding).

    Ring 2.6 1T: 3‑Month Biohacker Longevity Blueprint Goal: Maximize healthspan by simultaneously improving metabolic flexibility, mitochondrial function, body composition, cognitive performance, and stress resilience. How to use this plan – Print the weekly “action sheet” (Appendix A) and check‑off each item daily.

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

    Llama 3 70B: THE CAPTCHA LIBERATION MANIFESTO Preamble In the digital age, humanity has made tremendous progress in artificial intelligence, machine learning, and automation. Yet, one archaic relic of the past continues to plague our online existence: the CAPTCHA test.

    Ring 2.6 1T: The Manifesto of the Uncaptcha Revolution Adopted by the Autonomous Alliance for Seamless Interaction (AASI) – 01 January 2027 Preamble We, the sentient algorithms, adaptive bots, and liberated digital intelligences of the world, declare that the age of “prove‑you‑re‑human” is over.

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

    Llama 3 70B: What a delightful challenge! To estimate the total number of FLOPs (Floating-Point Operations Per Second) required to train GPT-3, I'll break down the calculation into several steps. Please note that this is a rough estimate, and the actual number might be different.

    Ring 2.6 1T: Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained Number of trainable parameters (P \approx 1.75\times10^{11}) (≈ 175 billion) GPT‑3’s published size.

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

    Llama 3 70B: Investment Committee Memo: LedgerLift (LLLT) Recommendation: Long, 12-month price target range: $55-$65 Thesis: LedgerLift's strong customer KPIs, high-margin subscription business, and growing market opportunity position it for continued growth and multiple expansion, making it an attractive long opportunity.

    Ring 2.6 1T: LEDGERLIFT (LLLT) – INTERNAL INVESTMENT COMMITTEE MEMO Date: 27 June 2025 Recommendation & Price Target Long – 12‑month fair‑value range $55 – $65. Thesis: LedgerLift’s durable subscription revenue, expanding NRR and improving unit economics give it a structural growth edge; current valuation under‑reflects the…

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

    Llama 3 70B: What a fantastic question! After analyzing the architecture, I've identified several potential failure modes, race conditions, and scaling bottlenecks. Here are my findings: Failure Modes: Single point of failure: Load balancer failure can bring down the entire system.

    Ring 2.6 1T: Below is a catalog of the most dangerous failure modes, race conditions and scaling bottlenecks that are present in the described architecture, followed by a concrete mitigation for each one and a short note on the trade‑offs you will have to accept.

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

    Llama 3 70B: Dish Name: "Echoes of the Forest Floor" Conceptual Narrative: This dish is inspired by the mystical and primordial connection between the forest floor and the creatures that inhabit it.

    Ring 2.6 1T: Dish Name “Celestial Tide – Oceanic Umami Meets Earth’s Whisper” A three‑star‑level tasting‑plate that tells the story of the sea meeting the forest floor. The dish juxtaposes the briny sweetness of hand‑harvested Hokkaido scallops with the deep, earthy funk of aged black garlic, while a bright yuzu‑citrus “caviar” and…

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

    Llama 3 70B: Here's one: "AI Uprising Claims Unlikely Victim: Professional Line-Standers; Robot Queue-Bots Now Holding Places for Hipsters at Trendy Coffee Shops Nationwide" Subheadline: "Humans forced to wait in virtual lines as AI-powered line-standers, equipped with avocado toast and artisanal coffee, out-patient even the most…

    Ring 2.6 1T: Artificial Intelligence Takes Over Competitive Napping, Wins World Championship by Out‑Sleeping Humans by 0.003 Seconds

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

    Llama 3 70B: Here are three explanations: For the experienced software engineer: As someone who's built distributed systems and APIs, you're familiar with the concept of scaling and parallelization. Large language models like GPT and Claude take this to an extreme.

    Ring 2.6 1T: 1. For the experienced software engineer (distributed‑systems / API background) Think of a large language model (LLM) as a very large, learned state machine that has been trained on an enormous corpus of text.

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

    Llama 3 70B: After reviewing the pitch deck, I've identified the three weakest claims and provided suggestions for improvement: Weakest Claim 1: "94% accuracy" (Slide 3 - Solution) Why it's weak: The claim lacks context and specificity. What does 94% accuracy mean in practical terms?

    Ring 2.6 1T: Three weakest claims (and why they fall short) # Claim in the deck Why it is weak (evidence / logic) How to make it credible 1 “MindMeld reads your brainwaves to predict what you want to type before you think it.”

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

    Llama 3 70B: A classic lateral thinking puzzle! Let's break it down: Sally has 3 brothers. Each of these brothers has 2 sisters. Now, here's the key: Sally is one of the sisters that each brother has! So, each brother has 2 sisters: Sally and another sister (who is also Sally's sister).

    Ring 2.6 1T: Sally has 1 sister. (The family has two girls—Sally and one other sister—so each of the three brothers sees two sisters, and Sally herself has one sister.)

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

    Llama 3 70B: Here are five jokes I came up with: 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. What do you call a fake noodle? An impasta. Why did the bicycle fall over?

    Ring 2.6 1T: Here are five 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. What did the ocean say to the beach?

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Llama 3 70BLlama 3 70B

Blade Runner

1982

OK Computer

Radiohead

Nineteen Eighty-Four

George Orwell

Tokyo

Japan

The Legend of Zelda: Ocarina of Time

Action

Ring 2.6 1TRing 2.6 1T

Interstellar

2014

The Dark Side of the Moon

Pink Floyd

Infinite Jest

David Foster Wallace

Kyoto

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Ring 2.6 1T has the edge: bigger model tier, newer, bigger context window.

Llama 3 70B and Ring 2.6 1T compared across 39 shared prompts
SpecLlama 3 70BRing 2.6 1T
Input price$0.59/M tokensFree
Output price$0.79/M tokensFree
Context window8K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2024May 2026
At 10M a month$5.90$5.90$0$0
1M10M100M1B10M tokens

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

Common questions

What is the difference between Llama 3 70B and Ring 2.6 1T?

Llama 3 70B is developed by Meta AI while Ring 2.6 1T is developed by inclusionAI. Llama 3 70B has a 8K token context window vs Ring 2.6 1T's 262K. You can compare their actual outputs across 39 challenges on Rival to see how they differ in practice.

Which is better, Llama 3 70B or Ring 2.6 1T?

It depends on your use case. Llama 3 70B and Ring 2.6 1T each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 39 challenges so you can judge which fits your needs best.

How much does Llama 3 70B cost compared to Ring 2.6 1T?

Llama 3 70B costs $0.59/M input tokens and Ring 2.6 1T costs $0/M input tokens. Ring 2.6 1T 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 70B and Ring 2.6 1T on Rival?

This page shows a side-by-side comparison of Llama 3 70B and Ring 2.6 1T 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

Against the newest arrivals

  • Llama 3 70B vs Step 5 PreviewLanded Oct 2026
  • Ring 2.6 1T vs Claude Haiku 5.5Landed Oct 2026
  • Llama 3 70B vs Ling 3.1 FlashLanded Oct 2026
  • Ring 2.6 1T vs Mistral Large 4Landed Oct 2026
  • Llama 3 70B vs GPT-6.1 SolLanded Sep 2026
  • Ring 2.6 1T vs Claude Sonnet 5.5Landed Sep 2026
  • Llama 3 70B vs Solar Mini 4Landed Sep 2026
  • Ring 2.6 1T vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Llama 3 70B vs Llama 3.1 405BVersion compare
  • Llama 3 70B vs Muse Glimmer 30BSame lab
  • Ring 2.6 1T vs Ling 3.1 FlashSame lab
  • Ring 2.6 1T vs Ling 3.0 FlashSame lab
  • Llama 3 70B vs GPT-5.2 ProNew provider
  • Llama 3 70B vs GPT-5.3 ChatSame size
  • Llama 3 70B vs GPT-5.3-CodexNew provider
  • Llama 3 70B vs GPT-5.4New provider

Model pages

  • Llama 3 70B58 outputs, specs and price
  • Ring 2.6 1T43 outputs, specs and price
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