LLM Comparison Tool
Mixtral 8x7B vs GPT-4o-mini
Comparison of Large Language Model capabilities, costs, and benchmark performance between Together.AI's Mixtral 8x7B and OpenAI's GPT-4o-mini.
Mixtral 8x7B is 300.0% more expensive than GPT-4o-mini
Mixtral 8x7B was released 7 months before before GPT-4o-mini
GPT-4o-mini shows better general knowledge performance with a 11.4% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
Together.AI
OpenAIModel Name
Name of the model.
Mixtral 8x7B
GPT-4o-mini
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.60per million tokens
$0.15per 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.
32000Ktokens
128000Ktokens
Response Length
Maximum length of a single generated response.
4Ktokens
16384Ktokens
Initial Release
First public release date.
December 11, 2023
July 18, 2024
Training Data Cutoff
Latest date of data included in training.
Unknown
October 2023
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
82.0score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
59.4score
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
87.2score
0-shotsource
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
70.2score
0-shotsource
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