LLM Comparison Tool
GPT-4-turbo-0125 vs Gemini 1.5 Pro
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4-turbo-0125 and Google's Gemini 1.5 Pro.
GPT-4-turbo-0125 is 42.9% more expensive than Gemini 1.5 Pro
GPT-4-turbo-0125 was released 1 months before before Gemini 1.5 Pro
GPT-4-turbo-0125 shows better general knowledge performance with a 3.5% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
GoogleModel Name
Name of the model.
GPT-4-turbo-0125
Gemini 1.5 Pro
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$10.00per million tokens
$7.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$30.00per million tokens
$21.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
1Ktokens
Response Length
Maximum length of a single generated response.
4096Ktokens
8Ktokens
Initial Release
First public release date.
January 25, 2024
February 15, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
November 2023
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
81.9score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
58.5score
0-shotsource
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
93.3score
10-shotsource
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