LLM Comparison Tool
GPT-4o vs Mixtral 8x7B
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4o and Groq's Mixtral 8x7B.
GPT-4o is 941.7% more expensive than Mixtral 8x7B
GPT-4o was released 5 months after after Mixtral 8x7B
GPT-4o shows better general knowledge performance with a 18.1% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIModel Name
Name of the model.
GPT-4o
Mixtral 8x7B
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$2.50per million tokens
$0.24per million tokens
Generation
Cost per million tokens for model-generated responses.
$10.00per million tokens
$0.24per 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.
16384Ktokens
4Ktokens
Initial Release
First public release date.
May 13, 2024
December 11, 2023
Training Data Cutoff
Latest date of data included in training.
October 2023
Unknown
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
88.7score
5-shotsource
70.6score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
69.1score
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.
76.6score
0-shotsource
Not available
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