Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

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

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. GPT-6 LunavsLlama 3.1 70B (Instruct)
Updated Sep 2026

GPT-6 LunavsLlama 3.1 70B (Instruct)

GPT-6 Luna is cheaper than Llama 3.1 70B (Instruct) at $0.1/M vs $0.59/M input tokens.

GPT-6 Luna and Llama 3.1 70B (Instruct) compared across 20 shared prompts
SpecGPT-6 LunaLlama 3.1 70B (Instruct)
Input price$0.1/M tokens$0.59/M tokens
Output price$0.5/M tokens$0.79/M tokens
Context window1.1M tokens128K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2024
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-6 Luna113 words
Crispy Parmesan Chickpeas A crunchy, savory snack with a cheesy finish Ingredients (7): 1 can chickpeas, drained and dried 1 tablespoon olive oil ½ teaspoon salt ½ teaspoon paprika ¼ teaspoon garlic powder ¼ cup grated Parmesan 1 tablespoon lemon juice Prep time: 5 minutes Cook time: 30–35 minutes Instructions: Heat…
Read the full answer
Llama 3.1 70B (Instruct)311 words
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…
Read the full answer

Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

GPT-6 Luna2,040 words
This agreement is strongly one-sided. The enforceability of particular terms—especially the non-compete, liability provisions, and arbitration clause—depends on the governing law and the facts. The agreement does not identify a governing law, which is itself a significant gap.
Read the full answer
Llama 3.1 70B (Instruct)610 words
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.
Read the full answer

Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

GPT-6 Luna1,874 words
12-week longevity and performance plan This plan is for a generally healthy adult who wants to improve fitness, metabolic health, sleep, and cognitive performance—not a substitute for medical care or a promise to slow aging.
Read the full answer
Llama 3.1 70B (Instruct)744 words
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.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

GPT-6 Luna1,979 words
The main architectural risk is that the system treats collaborative editing as “write a value, then broadcast it.” That works poorly under concurrency, server failures, reconnects, and scale.
Read the full answer
Llama 3.1 70B (Instruct)612 words
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.
Read the full answer

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-6 Luna1,930 words
I would not wait six months for more data. A potentially fatal signal affecting a drug used by millions requires immediate safety assessment, prompt engagement with regulators, and a plan to inform patients and clinicians.
Read the full answer
Llama 3.1 70B (Instruct)533 words
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.
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GPT-6 Luna330 words
A simple 1-month starter plan Choose three foundations: food, movement, and sleep. Aim for steady habits, not perfection. If you have a health condition, significant pain, or concerns about changing your activity or diet, check with a healthcare professional first.
Read the full answer
Llama 3.1 70B (Instruct)420 words
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.
Read the full answer
Our Verdict
GPT-6 Luna
GPT-6 Luna
Llama 3.1 70B (Instruct)
Llama 3.1 70B (Instruct)Runner-up

Not enough votes to call it. On the specs, GPT-6 Luna has the edge: newer, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna
Input
$0.10
5.9× cheaper
Output
$0.50
1.6× cheaper
Llama 3.1 70B (Instruct)
Input
$0.59
Output
$0.79

GPT-6 Luna is cheaper on both: 5.9× input, 1.6× output.

Where to run it

5 hosts, cheapest first

GPT-6 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·88.4% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% upAmazon Bedrock$0.11 in·$0.55 out·1.1M·99.8% up
Llama 3.1 70B (Instruct)2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.40 in·$0.40 out·131k·99.4% upAmazon Bedrock$0.72 in·$0.72 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Luna is developed by OpenAI while Llama 3.1 70B (Instruct) is developed by Meta AI. GPT-6 Luna has a 1.1M token context window vs Llama 3.1 70B (Instruct)'s 128K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Luna and Llama 3.1 70B (Instruct) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

GPT-6 Luna costs $0.1/M input tokens and Llama 3.1 70B (Instruct) costs $0.59/M input tokens. GPT-6 Luna is $0.49/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of GPT-6 Luna and Llama 3.1 70B (Instruct) 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.

Keep exploring

More comparisons

Against the newest arrivals

GPT-6 Luna logoSolar Mini 4 logo
GPT-6 Luna vs Solar Mini 4Landed Sep 2026
Llama 3.1 70B (Instruct) logoQwen3.8 Max Prime logo
Llama 3.1 70B (Instruct) vs Qwen3.8 Max PrimeLanded Sep 2026
GPT-6 Luna logoGLM 5.3 Prime logo
GPT-6 Luna vs GLM 5.3 PrimeLanded Sep 2026
Llama 3.1 70B (Instruct) logoQwen3.8 Omni Flash logo
Llama 3.1 70B (Instruct) vs Qwen3.8 Omni FlashLanded Sep 2026
GPT-6 Luna logoCommand A+ logo
GPT-6 Luna vs Command A+Landed Sep 2026
Llama 3.1 70B (Instruct) logoClaude Opus 5.5 logo
Llama 3.1 70B (Instruct) vs Claude Opus 5.5Landed Sep 2026
GPT-6 Luna logoGPT-6 Luna Pro logo
GPT-6 Luna vs GPT-6 Luna ProLanded Sep 2026
Llama 3.1 70B (Instruct) logoGPT-6 Sol Pro logo
Llama 3.1 70B (Instruct) vs GPT-6 Sol ProLanded Sep 2026

Same lab, same size, long tail

GPT-6 Luna logoGPT-6 Sol Pro logo
GPT-6 Luna vs GPT-6 Sol ProSame lab
GPT-6 Luna logoGPT-6 Sol logo
GPT-6 Luna vs GPT-6 SolSame lab
Llama 3.1 70B (Instruct) logoMuse Glimmer 30B logo
Llama 3.1 70B (Instruct) vs Muse Glimmer 30BSame lab
Llama 3.1 70B (Instruct) logoMuse Spark 1.3 logo
Llama 3.1 70B (Instruct) vs Muse Spark 1.3Same lab
Llama 3.1 70B (Instruct) logoGrok 4.5 logo
Llama 3.1 70B (Instruct) vs Grok 4.5Same size
Llama 3.1 70B (Instruct) logoGrok 4.6 logo
Llama 3.1 70B (Instruct) vs Grok 4.6Same size
Llama 3.1 70B (Instruct) logoGrok 4.7 logo
Llama 3.1 70B (Instruct) vs Grok 4.7Same size
GPT-6 Luna logoGrok Code Fast 1 logo
GPT-6 Luna vs Grok Code Fast 1New provider

Model pages

GPT-6 Luna logo
GPT-6 Luna20 outputs, specs and price
Llama 3.1 70B (Instruct) logo
Llama 3.1 70B (Instruct)56 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

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

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed