Gemini Pro vs GPT-4o Mini (Which is Better in 2024?)

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Comparative Analysis: Gemini Pro vs. GPT-4o Mini

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Overview

Gemini Pro was released 7 months before GPT-4o Mini.

	Gemini Pro	GPT-4o Mini
Model Provider The organization behind this AI's development	Google	OpenAI
Input Context Window Maximum input tokens this model can process at once	32.8K tokens	128.0K tokens
Output Token Limit Maximum output tokens this model can generate at once	8192 tokens	16.4K tokens
Release Date When this model first became publicly available	December 13, 2023 9 months ago December 13th, 2023	July 18, 2024 2 months ago July 18th, 2024

Pricing

	Gemini Pro	GPT-4o Mini
Input Token Cost Cost per million tokens fed into the model	Not specified	$0.15 per million tokens
Output Token Cost Cost per million tokens generated by the model	Not specified	$0.60 per million tokens

Benchmarks

Compare relevant benchmarks between Gemini Pro and GPT-4o Mini.

	Gemini Pro	GPT-4o Mini
MMLU Measures model's ability to answer questions across various domains	71.8 (5-shot) Source	82.0 (5-shot) Source
MMMU Evaluates model's performance across diverse tasks and data types	47.9 (pass@1) Source	59.4 Source
HellaSwag Assesses the model's ability to understand everyday scenarios	Benchmark not available.	Benchmark not available.

Gemini Pro, developed by Google, features a context window (the maximum amount of text the model can consider at once) of 32.8K tokens (individual units of text or subwords). It was made publicly available on December 13th, 2023. It has achieved impressive scores in benchmarks (standardized tests for AI models) like MMLU (Massive Multitask Language Understanding, a test of general knowledge) with a score of 71.8 in a 5-shot scenario (a specific testing condition).

GPT-4o Mini, developed by OpenAI, features a context window (the maximum amount of text the model can consider at once) of 128.0K tokens (individual units of text or subwords). The model costs $0.15 per million tokens for input (text fed into the model) and $0.60 per million tokens for output (text generated by the model). It was made publicly available on July 18th, 2024. It has achieved impressive scores in benchmarks (standardized tests for AI models) like MMLU (Massive Multitask Language Understanding, a test of general knowledge) with a score of 82.0 in a 5-shot scenario (a specific testing condition). OpenAI logo