GPT-4o Mini vs Mistral 7B Instruct (Which is Better in 2024?)

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Comparative Analysis: GPT-4o Mini vs. Mistral 7B Instruct

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Overview

Mistral 7B Instruct was released 9 months before GPT-4o Mini.

	GPT-4o Mini	Mistral 7B Instruct
Model Provider The organization behind this AI's development	OpenAI	Mistral
Input Context Window Maximum input tokens this model can process at once	128.0K tokens	32.0K tokens
Output Token Limit Maximum output tokens this model can generate at once	16.4K tokens	8192 tokens
Release Date When this model first became publicly available	July 18, 2024 2 months ago July 18th, 2024	September 27, 2023 1 year ago September 27th, 2023

Pricing

GPT-4o Mini is roughly 0.6x less expensive compared to Mistral 7B Instruct for input tokens and roughly 2.4x more expensive for output tokens.

	GPT-4o Mini	Mistral 7B Instruct
Input Token Cost Cost per million tokens fed into the model	$0.15 per million tokens	$0.25 per million tokens
Output Token Cost Cost per million tokens generated by the model	$0.60 per million tokens	$0.25 per million tokens

Benchmarks

Compare relevant benchmarks between GPT-4o Mini and Mistral 7B Instruct.

	GPT-4o Mini	Mistral 7B Instruct
MMLU Measures model's ability to answer questions across various domains	82.0 (5-shot) Source	60.1 (5-shot) Source
MMMU Evaluates model's performance across diverse tasks and data types	59.4 Source	Benchmark not available.
HellaSwag Assesses the model's ability to understand everyday scenarios	Benchmark not available.	Benchmark not available.

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).

Mistral 7B Instruct, developed by Mistral, features a context window (the maximum amount of text the model can consider at once) of 32.0K tokens (individual units of text or subwords). The model costs $0.25 per million tokens for input (text fed into the model) and $0.25 per million tokens for output (text generated by the model). It was made publicly available on September 27th, 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 60.1 in a 5-shot scenario (a specific testing condition). Mistral logo