LLM Comparison Tool
Llama 3.1 405b vs Mistral 7B Instruct
Comparison of Large Language Model capabilities, costs, and benchmark performance between Fireworks's Llama 3.1 405b and Mistral's Mistral 7B Instruct.
Llama 3.1 405b is 1100.0% more expensive than Mistral 7B Instruct
Llama 3.1 405b was released 10 months after after Mistral 7B Instruct
Llama 3.1 405b shows better general knowledge performance with a 25.1% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
MistralModel Name
Name of the model.
Llama 3.1 405b
Mistral 7B Instruct
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$3.00per million tokens
$0.25per million tokens
Generation
Cost per million tokens for model-generated responses.
$3.00per million tokens
$0.25per 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
8Ktokens
Initial Release
First public release date.
July 23, 2024
September 27, 2023
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.
85.2score
5-shot
60.1score
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
Not available
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
73.8score
0-shot
Not available
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