LLM Comparison Tool
GPT-4-turbo-0125 vs GPT-4
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-turbo-0125 and OpenAI's GPT-4.
GPT-4-turbo-0125 is 66.7% less expensive than GPT-4
GPT-4-turbo-0125 was released 10 months after after GPT-4
GPT-4 shows better general knowledge performance with a 1.0% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIOpenAIModel Name
Name of the model.
GPT-4-turbo-0125
GPT-4
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$30.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$30.00per million tokens
$60.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
8192Ktokens
Response Length
Maximum length of a single generated response.
4096Ktokens
8192Ktokens
Initial Release
First public release date.
January 25, 2024
March 14, 2023
Training Data Cutoff
Latest date of data included in training.
December 2023
September 2021
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
85.4score
5-shotsource
86.4score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
34.9score
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
95.3score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
86.6score
0-shotsource
67.0score
0-shotsource
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
64.5score
0-shotsource
Not available
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