LLM Comparison Tool
Gemini 1.5 Pro vs GPT-4-turbo-1106
Comparison of Large Language Model capabilities, costs, and benchmark performance between Google's Gemini 1.5 Pro and OpenAI's GPT-4-turbo-1106.
Gemini 1.5 Pro is 30.0% less expensive than GPT-4-turbo-1106
Gemini 1.5 Pro was released 3 months after after GPT-4-turbo-1106
GPT-4-turbo-1106 shows better general knowledge performance with a 2.8% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
Google
OpenAIModel Name
Name of the model.
Gemini 1.5 Pro
GPT-4-turbo-1106
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$7.00per million tokens
$10.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$21.00per million tokens
$30.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
1Ktokens
128000Ktokens
Response Length
Maximum length of a single generated response.
8Ktokens
4096Ktokens
Initial Release
First public release date.
February 15, 2024
November 6, 2023
Training Data Cutoff
Latest date of data included in training.
November 2023
April 2023
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
81.9score
5-shotsource
84.7score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
58.5score
0-shotsource
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
93.3score
10-shotsource
Not available
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