LLM Comparison Tool
Mistral Large vs Mixtral 8x7B
Comparison of Large Language Model capabilities, costs, and benchmark performance between Mistral's Mistral Large and Groq's Mixtral 8x7B.
Mistral Large is 733.3% more expensive than Mixtral 8x7B
Mistral Large was released 2 months after after Mixtral 8x7B
Mistral Large shows better general knowledge performance with a 10.6% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
MistralModel Name
Name of the model.
Mistral Large
Mixtral 8x7B
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$2.00per million tokens
$0.24per million tokens
Generation
Cost per million tokens for model-generated responses.
$6.00per million tokens
$0.24per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
32000Ktokens
Response Length
Maximum length of a single generated response.
4Ktokens
4Ktokens
Initial Release
First public release date.
February 26, 2024
December 11, 2023
Training Data Cutoff
Latest date of data included in training.
Unknown
Unknown
License Type
Model licensing and availability.
Open Source
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
81.2score
5-shotsource
70.6score
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.
89.2score
10-shotsource
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.
Not available
Not available
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