LLM Comparison Tool
GPT-4-32k-0613 vs Mixtral 8x7B
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-32k-0613 and Replicate's Mixtral 8x7B.
GPT-4-32k-0613 is 19900.0% more expensive than Mixtral 8x7B
GPT-4-32k-0613 was released 6 months before before Mixtral 8x7B
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
ReplicateModel Name
Name of the model.
GPT-4-32k-0613
Mixtral 8x7B
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$60.00per million tokens
$0.30per million tokens
Generation
Cost per million tokens for model-generated responses.
$120.00per million tokens
$1.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
32800Ktokens
32000Ktokens
Response Length
Maximum length of a single generated response.
Not available
4Ktokens
Initial Release
First public release date.
June 13, 2023
December 11, 2023
Training Data Cutoff
Latest date of data included in training.
Unknown
Unknown
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
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.
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.
Not available
Not available
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