LLM Comparison Tool
GPT-3.5-turbo-16k vs Gemini 1.5 Pro
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-3.5-turbo-16k and Google's Gemini 1.5 Pro.
GPT-3.5-turbo-16k is 57.1% less expensive than Gemini 1.5 Pro
GPT-3.5-turbo-16k was released 8 months before before Gemini 1.5 Pro
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAI
GoogleModel Name
Name of the model.
GPT-3.5-turbo-16k
Gemini 1.5 Pro
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$3.00per million tokens
$7.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$4.00per million tokens
$21.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
16400Ktokens
1Ktokens
Response Length
Maximum length of a single generated response.
16400Ktokens
8Ktokens
Initial Release
First public release date.
June 13, 2023
February 15, 2024
Training Data Cutoff
Latest date of data included in training.
Unknown
November 2023
License Type
Model licensing and availability.
Proprietary
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
Not available
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
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
84.1score
0-shotsource
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
Not available
67.7score
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