LLM Comparison Tool
GPT-4o-mini vs Mixtral 8x7B
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4o-mini and Together.AI's Mixtral 8x7B.
GPT-4o-mini is 75.0% less expensive than Mixtral 8x7B
GPT-4o-mini was released 7 months after after Mixtral 8x7B
GPT-4o-mini shows better general knowledge performance with a 11.4% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
Together.AIModel Name
Name of the model.
GPT-4o-mini
Mixtral 8x7B
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.15per million tokens
$0.60per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.60per million tokens
$0.60per 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.
July 18, 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.
82.0score
5-shotsource
70.6score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
59.4score
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.
87.2score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
70.2score
0-shotsource
Not available
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