Understand and compare
GPT-3.5 Turbo
vs.
GPT-4 0613
Overview
GPT-3.5 Turbo was released
7 months before
GPT-4 0613.
GPT-3.5 Turbo
|
GPT-4 0613
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
OpenAI
|
|
Input Context Window
The number of tokens supported by the input context window.
|
4,096
tokens
|
8,192
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
4,096
tokens
|
8,192
tokens
|
|
Release Date
When the model was first released.
|
2022-11-28
|
2023-06-13
|
Pricing
GPT-3.5 Turbo is
roughly 60x cheaper compared
to GPT-4 0613 for input tokens and
roughly 40x cheaper
for output tokens.
|
GPT-3.5 Turbo
|
GPT-4 0613
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$0.50
per million tokens
|
$30.00
per million tokens
|
|
Output
Cost of output 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 0613.
|
GPT-3.5 Turbo
|
GPT-4 0613
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
70.0
(5-shot)
|
Benchmark not available.
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
85.5
(10-shot)
|
Benchmark not available.
|
GPT-3.5 Turbo, developed by OpenAI, features a context window of 4096 tokens. It is priced at 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. The model was released on November 28, 2022, and has achieved high scores in benchmarks like HellaSwag (85.5 in a 10-shot scenario) and MMLU (70.0 in a 5-shot scenario).
GPT-4 0613, developed by OpenAI, features a context window of 8192 tokens. The model costs 3.0 cents per thousand tokens for input and 6.0 cents per thousand tokens for output. It was released on June 13, 2023.
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