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Gemini Pro Model Features, Pricing, Benchmarks, and Performance Analysis (October 2024)

Gemini Pro, developed by Google, features a context window of 32.8K tokens. The model costs Not specified per million tokens for input and Not specified per million tokens for output. It was released on December 13, 2023,and has achieved impressive scores in various benchmarks.
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Overview

Gemini ProGemini Pro
Model Provider
The organization behind this AI's development
Google logoGoogle
Input Context Window
Maximum input tokens this model can process at once
32.8K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
8192
tokens
Release Date
When this model first became publicly available
December 13th, 2023

Pricing

Gemini ProGemini Pro
Input Token Cost
Cost per million tokens fed into the model
Not specified
Output Token Cost
Cost per million tokens generated by the model
Not specified

Benchmarks

Gemini ProGemini Pro
MMLU
Measures model's ability to answer questions across various domains
71.8
(5-shot)
Source
MMMU
Evaluates model's performance across diverse tasks and data types
47.9
(pass@1)
Source
HellaSwag
Assesses the model's ability to understand everyday scenarios
Not available