GPT-3.5 Turbo vs GPT-4 (Which is Better in 2024?)
Comparative Analysis: GPT-3.5 Turbo vs. GPT-4
Overview
GPT-3.5 Turbo was released 3 months before GPT-4.
 GPT-3.5 Turbo | GPT-4 | |
|---|---|---|
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 | 8192 tokens |
Output Token Limit Maximum output tokens this model can generate at once | 4096 tokens | 8192 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 roughly 0.02x less expensive compared to GPT-4 for input tokens and roughly 0.03x less expensive for output tokens.
| GPT-3.5 Turbo | GPT-4 | |
|---|---|---|
Input Token Cost Cost per million tokens fed into the model | $0.50 per million tokens | $30.00 per million tokens |
Output Token Cost Cost per million tokens generated by the model | $1.50 per million tokens | $60.00 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo and GPT-4.
| GPT-3.5 Turbo | GPT-4 | |
|---|---|---|
MMLU Measures model's ability to answer questions across various domains | 70.0 (5-shot) | 86.4 (5-shot) |
MMMU Evaluates model's performance across diverse tasks and data types | Benchmark not available. | 34.9 |
HellaSwag Assesses the model's ability to understand everyday scenarios | 85.5 (10-shot) | 95.3 (10-shot) |
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, developed by OpenAI, features a context window (the maximum amount of text the model can consider at once) of 8192 tokens (individual units of text or subwords). The model costs $30.00 per million tokens for input (text fed into the model) and $60.00 per million tokens for output (text generated by the model). It was made publicly available on March 14th, 2023. It has achieved impressive scores in benchmarks (standardized tests for AI models) like HellaSwag (a test of common sense reasoning) with a score of 95.3 in a 10-shot scenario (a specific testing condition) and MMLU (Massive Multitask Language Understanding, a test of general knowledge) with a score of 86.4 in a 5-shot scenario (a specific testing condition).
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