LLM Comparison Tool
GPT-4 vs GPT-3.5-turbo
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4 and OpenAI's GPT-3.5-turbo.
GPT-4 is 5900.0% more expensive than GPT-3.5-turbo
GPT-4 was released 4 months after after GPT-3.5-turbo
GPT-4 shows better general knowledge performance with a 16.4% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIOpenAIModel Name
Name of the model.
GPT-4
GPT-3.5-turbo
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$30.00per million tokens
$0.50per million tokens
Generation
Cost per million tokens for model-generated responses.
$60.00per million tokens
$1.50per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
8192Ktokens
4Ktokens
Response Length
Maximum length of a single generated response.
8192Ktokens
4096Ktokens
Initial Release
First public release date.
March 14, 2023
November 28, 2022
Training Data Cutoff
Latest date of data included in training.
September 2021
September 2021
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
86.4score
5-shotsource
70.0score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
34.9score
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
95.3score
10-shotsource
85.5score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
67.0score
0-shotsource
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
43.1score
0-shot
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