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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

Overview

GPT-3.5 Turbo was released 3 months before GPT-4 32K.
GPT-3.5 TurboGPT-3.5 Turbo
GPT-4 32KGPT-4 32K
Model Provider
The organization behind this AI's development
OpenAI logoOpenAI
OpenAI logoOpenAI
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 28th, 2022
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 TurboGPT-3.5 Turbo
GPT-4 32KGPT-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 TurboGPT-3.5 Turbo
GPT-4 32KGPT-4 32K
MMLU
Measures model's ability to answer questions across various domains
70.0
(5-shot)
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)
Benchmark not available.
OpenAI logoGPT-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

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