GPT-3.5 Turbo vs GPT-4 32K (Which is Better in 2024?)

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Comparative Analysis: GPT-3.5 Turbo vs. GPT-4 32K

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Overview

GPT-3.5 Turbo was released 3 months before GPT-4 32K.

	GPT-3.5 Turbo	GPT-4 32K
Model Provider The organization behind this AI's development	OpenAI	OpenAI
Input Context Window Maximum input tokens this model can process at once	4096 tokens	32.8K tokens
Output Token Limit Maximum output tokens this model can generate at once	4096 tokens	Not specified tokens
Release Date When this model first became publicly available	November 28, 2022 1 year ago November 28th, 2022	March 14, 2023 1 year ago March 14th, 2023

Pricing

GPT-3.5 Turbo is significantly less expensive compared to GPT-4 32K for input tokens and roughly 0.01x less expensive for output tokens.

	GPT-3.5 Turbo	GPT-4 32K
Input Token Cost Cost per million tokens fed into the model	$0.50 per million tokens	$60.00 per million tokens
Output Token Cost Cost per million tokens generated by the model	$1.50 per million tokens	$120.00 per million tokens

Benchmarks

Compare relevant benchmarks between GPT-3.5 Turbo and GPT-4 32K.

	GPT-3.5 Turbo	GPT-4 32K
MMLU Measures model's ability to answer questions across various domains	70.0 (5-shot) Source	Benchmark not available.
MMMU Evaluates model's performance across diverse tasks and data types	Benchmark not available.	Benchmark not available.
HellaSwag Assesses the model's ability to understand everyday scenarios	85.5 (10-shot) Source	Benchmark not available.

GPT-3.5 Turbo, developed by OpenAI, features a context window (the maximum amount of text the model can consider at once) of 4096 tokens (individual units of text or subwords). The model costs $0.50 per million tokens for input (text fed into the model) and $1.50 per million tokens for output (text generated by the model). It was made publicly available on November 28th, 2022. It has achieved impressive scores in benchmarks (standardized tests for AI models) like HellaSwag (a test of common sense reasoning) with a score of 85.5 in a 10-shot scenario (a specific testing condition) and MMLU (Massive Multitask Language Understanding, a test of general knowledge) with a score of 70.0 in a 5-shot scenario (a specific testing condition).

GPT-4 32K, developed by OpenAI, 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). The model costs $60.00 per million tokens for input (text fed into the model) and $120.00 per million tokens for output (text generated by the model). It was made publicly available on March 14th, 2023. OpenAI logo