LLM Comparison Tool
GPT-4-turbo-1106 vs Mixtral 8x7B
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-turbo-1106 and Replicate's Mixtral 8x7B.
GPT-4-turbo-1106 is 3233.3% more expensive than Mixtral 8x7B
GPT-4-turbo-1106 was released 1 months before before Mixtral 8x7B
GPT-4-turbo-1106 shows better general knowledge performance with a 14.1% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
ReplicateModel Name
Name of the model.
GPT-4-turbo-1106
Mixtral 8x7B
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$0.30per million tokens
Generation
Cost per million tokens for model-generated responses.
$30.00per million tokens
$1.00per 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.
4096Ktokens
4Ktokens
Initial Release
First public release date.
November 6, 2023
December 11, 2023
Training Data Cutoff
Latest date of data included in training.
April 2023
Unknown
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
84.7score
5-shotsource
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.
83.7score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
64.3score
0-shotsource
Not available
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