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. Grok 4.7vsLlama 3.1 70B (Instruct)
Updated Sep 2026

Grok 4.7vsLlama 3.1 70B (Instruct)

Llama 3.1 70B (Instruct) is cheaper than Grok 4.7 at $0.59/M vs $1.6/M input tokens.

Grok 4.7 and Llama 3.1 70B (Instruct) compared across 10 shared prompts
SpecGrok 4.7Llama 3.1 70B (Instruct)
Input price$1.6/M tokens$0.59/M tokens
Output price$4.8/M tokens$0.79/M tokens
Context window500K tokens128K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2024
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 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…

Grok 4.7129 words
Pantry Gold Honey Biscuits A sweet, buttery, slightly salty biscuit that tastes like it took more effort than it did. Ingredients (7) 2 cups all-purpose flour 1 tbsp baking powder ½ tsp salt ¼ cup sugar ½ cup butter (cold) ¾ cup milk 2 tbsp honey Time: about 10 minutes prep, 12–15 minutes bake Instructions Heat the…
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

Debug This Architecture

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

Grok 4.71,399 words
This design will lose edits, split users into inconsistent views, and fall over under concurrent writing. The core problems are clock-based conflict resolution, per-server WebSocket fan-out, polling as the sync path, and treating documents as full HTML snapshots.
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

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Grok 4.71,173 words
1. Experienced software engineer An LLM is a stateless function from a token sequence to a probability distribution over the next token. Training is a giant batch job: you stream text, run a forward pass, compare the predicted distribution to the actual next token with cross-entropy, and push gradients through billions…
Read the full answer
Llama 3.1 70B (Instruct)729 words
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.
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…

Grok 4.7442 words
1-month beginner plan for better health and longevity Focus on three foundations: nutrition, movement, and sleep. Aim for consistency over perfection. If you have a medical condition, check with a clinician before big changes. Week-by-week rhythm Week 1: Build awareness and one easy habit in each area.
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

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Grok 4.7599 words
Three weakest claims 1. “Predict what you want to type before you think it” (Slide 1) This is scientifically incoherent, not just ambitious. Non-invasive EEG decodes neural activity that is already underway (motor imagery, attempted speech, attention).
Read the full answer
Llama 3.1 70B (Instruct)419 words
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.
Read the full answer
Our Verdict
Grok 4.7
Grok 4.7
Llama 3.1 70B (Instruct)
Llama 3.1 70B (Instruct)Runner-up

Not enough votes to call it. On the specs, Grok 4.7 has the edge: newer, bigger context window.

Llama 3.1 70B (Instruct) costs 6.1x less per token.

Too close to call
API pricing

Cost per 1M tokens

Grok 4.7
Input
$1.60
Output
$4.80
Llama 3.1 70B (Instruct)
Input
$0.59
2.7× cheaper
Output
$0.79
6.1× cheaper

Llama 3.1 70B (Instruct) is cheaper on both: 2.7× input, 6.1× output.

Where to run it

3 hosts, cheapest first

Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·98.9% up
Llama 3.1 70B (Instruct)2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.40 in·$0.40 out·131k·96.7% upAmazon Bedrock$0.72 in·$0.72 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Grok 4.7 is developed by xAI while Llama 3.1 70B (Instruct) is developed by Meta AI. Grok 4.7 has a 500K token context window vs Llama 3.1 70B (Instruct)'s 128K. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. Grok 4.7 and Llama 3.1 70B (Instruct) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

Grok 4.7 costs $1.6/M input tokens and Llama 3.1 70B (Instruct) costs $0.59/M input tokens. Llama 3.1 70B (Instruct) is $1.01/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 Grok 4.7 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

Grok 4.7 logoDeepSeek V4 Flash Vision Exp logo
Grok 4.7 vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Llama 3.1 70B (Instruct) logoSolar Pro 4 logo
Llama 3.1 70B (Instruct) vs Solar Pro 4Landed Sep 2026
Grok 4.7 logoHy3 logo
Grok 4.7 vs Hy3Landed Sep 2026
Llama 3.1 70B (Instruct) logoQwen3.7 Flash logo
Llama 3.1 70B (Instruct) vs Qwen3.7 FlashLanded Sep 2026
Grok 4.7 logoLing 3.0 Flash logo
Grok 4.7 vs Ling 3.0 FlashLanded Sep 2026
Llama 3.1 70B (Instruct) logoMuse Glimmer 30B logo
Llama 3.1 70B (Instruct) vs Muse Glimmer 30BLanded Sep 2026
Grok 4.7 logoGLM 5.3 logo
Grok 4.7 vs GLM 5.3Landed Sep 2026
Llama 3.1 70B (Instruct) logoTernary Bonsai 2 27B logo
Llama 3.1 70B (Instruct) vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

Grok 4.7 logoGrok 4.6 logo
Grok 4.7 vs Grok 4.6Same lab
Grok 4.7 logoGrok 4.5 logo
Grok 4.7 vs Grok 4.5Same 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) logoMuse Spark 1.3 Contributor logo
Llama 3.1 70B (Instruct) vs Muse Spark 1.3 ContributorSame lab
Grok 4.7 logoLlama 3.1 405B logo
Grok 4.7 vs Llama 3.1 405BCross-provider
Grok 4.7 logoLlama 4 Maverick logo
Grok 4.7 vs Llama 4 MaverickCross-provider
Grok 4.7 logoLlama 4 Scout logo
Grok 4.7 vs Llama 4 ScoutCross-provider
Grok 4.7 logoMercury logo
Grok 4.7 vs MercuryNew provider

Model pages

Grok 4.7 logo
Grok 4.710 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