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  5. Llama 3.1 70B (Instruct)vsMistral Large 2
Updated Jul 2024

Llama 3.1 70B (Instruct)vsMistral Large 2

Llama 3.1 70B (Instruct) is cheaper than Mistral Large 2 at $0.59/M vs $8/M input tokens.

Llama 3.1 70B (Instruct) and Mistral Large 2 compared across 22 shared prompts
SpecLlama 3.1 70B (Instruct)Mistral Large 2
Input price$0.59/M tokens$8/M tokens
Output price$0.79/M tokens$24/M tokens
Context window128K tokens128K tokens
Parameters70B123B
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2024Jul 2024
MMLU86.0%84.0%
Side by side

Same prompt, both answers

Opening lines from 6 of the 22 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…

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…
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Mistral Large 2344 words
Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Llama 3.1 70B (Instruct)359 words
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?
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Mistral Large 2351 words
Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?
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…

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.
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Mistral Large 21,223 words
1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Llama 3.1 70B (Instruct)653 words
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.
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Mistral Large 21,368 words
Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.
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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…

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.
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Mistral Large 21,202 words
As CEO, your immediate priority must be patient safety while balancing legal, ethical, regulatory, and financial obligations. Delaying disclosure is unethical, legally risky (potential criminal liability under the False Claims Act or FDCA), and could irreparably damage trust.
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Debug This Architecture

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

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.
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Mistral Large 21,132 words
Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1.
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Our Verdict
Llama 3.1 70B (Instruct)
Llama 3.1 70B (Instruct)
Mistral Large 2
Mistral Large 2

Not enough votes to call it. On the specs, nothing separates them.

Llama 3.1 70B (Instruct) costs 30x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Llama 3.1 70B (Instruct)
Input
$0.59
14× cheaper
Output
$0.79
30× cheaper
Mistral Large 2
Input
$8.00
Output
$24.00

Llama 3.1 70B (Instruct) is cheaper on both: 14× input, 30× output.

Where to run it

3 hosts, cheapest first

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
Mistral Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·97.7% up

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

Writing DNA

Style Comparison

Similarity
47%

Mistral Large 2 uses 79.6x more emoji

Llama 3.1 70B (Instruct)
Mistral Large 2
51%Vocabulary43%
21wSentence Length21w
0.55Hedging0.39
3.0Bold14.4
4.0Lists7.4
0.00Emoji0.80
0.00Headings1.41
0.06Transitions0.01
Based on 27 + 10 text responses
Research

What we learned reading every model

FAQ

Common questions

Llama 3.1 70B (Instruct) is developed by Meta AI while Mistral Large 2 is developed by Mistral AI. Llama 3.1 70B (Instruct) has a 128K token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 22 challenges on Rival to see how they differ in practice.

It depends on your use case. Llama 3.1 70B (Instruct) and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 22 challenges so you can judge which fits your needs best.

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Mistral Large 2 costs $8/M input tokens. Llama 3.1 70B (Instruct) is $7.41/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 Llama 3.1 70B (Instruct) and Mistral Large 2 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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Model pages

Llama 3.1 70B (Instruct) logo
Llama 3.1 70B (Instruct)56 outputs, specs and price
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