LLM Comparison Tool
Llama 3.1 70b vs Mistral Large
Comparison of Large Language Model capabilities, costs, and benchmark performance between Perplexity's Llama 3.1 70b and Mistral's Mistral Large.
Llama 3.1 70b is 50.0% less expensive than Mistral Large
Llama 3.1 70b was released 5 months after after Mistral Large
Llama 3.1 70b shows better general knowledge performance with a 2.4% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
Perplexity
MistralModel Name
Name of the model.
Llama 3.1 70b
Mistral Large
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$1.00per million tokens
$2.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$1.00per million tokens
$6.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
32000Ktokens
Response Length
Maximum length of a single generated response.
2Ktokens
4Ktokens
Initial Release
First public release date.
July 23, 2024
February 26, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
Unknown
License Type
Model licensing and availability.
Open Source
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
83.6score
5-shot
81.2score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
89.2score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
68.0score
0-shot
Not available
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