LLM Comparison Tool
Mixtral 8x7B vs GPT-3.5-turbo
Comparison of Large Language Model capabilities, costs, and benchmark performance between Anyscale's Mixtral 8x7B and OpenAI's GPT-3.5-turbo.
Mixtral 8x7B is 0.0% less expensive than GPT-3.5-turbo
Mixtral 8x7B was released 13 months after after GPT-3.5-turbo
Mixtral 8x7B shows better general knowledge performance with a 0.6% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIModel Name
Name of the model.
Mixtral 8x7B
GPT-3.5-turbo
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.50per million tokens
$0.50per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.50per million tokens
$1.50per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32000Ktokens
4Ktokens
Response Length
Maximum length of a single generated response.
4Ktokens
4096Ktokens
Initial Release
First public release date.
December 11, 2023
November 28, 2022
Training Data Cutoff
Latest date of data included in training.
Unknown
September 2021
License Type
Model licensing and availability.
Open Source
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
70.6score
5-shotsource
70.0score
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
85.5score
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.
Not available
43.1score
0-shot
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