LLM Comparison Tool
GPT-3.5-turbo-16k vs GPT-4-turbo-2024-04-09
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-3.5-turbo-16k and OpenAI's GPT-4-turbo-2024-04-09.
GPT-3.5-turbo-16k is 70.0% less expensive than GPT-4-turbo-2024-04-09
GPT-3.5-turbo-16k was released 10 months before before GPT-4-turbo-2024-04-09
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIOpenAIModel Name
Name of the model.
GPT-3.5-turbo-16k
GPT-4-turbo-2024-04-09
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$3.00per million tokens
$10.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$4.00per million tokens
$30.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
16400Ktokens
128000Ktokens
Response Length
Maximum length of a single generated response.
16400Ktokens
4096Ktokens
Initial Release
First public release date.
June 13, 2023
April 9, 2024
Training Data Cutoff
Latest date of data included in training.
Unknown
December 2023
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
86.7score
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
88.2score
0-shotsource
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
73.4score
0-shotsource
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