Understand and compare
GPT-4 32K 0613
vs.
GPT-3.5 Turbo 16K
Overview
GPT-4 32K 0613 was released
the same time
GPT-3.5 Turbo 16K.
GPT-4 32K 0613
|
GPT-3.5 Turbo 16K
|
|
---|---|---|
Provider
The entity that provides this model.
|
OpenAI
|
OpenAI
|
Input Context Window
The number of tokens supported by the input context window.
|
32.8K
tokens
|
16.4K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
16.4K
tokens
|
Release Date
When the model was first released.
|
2023-06-13
|
2023-06-13
|
Pricing
GPT-4 32K 0613 is
roughly 20x more expensive compared
to GPT-3.5 Turbo 16K for input tokens and
roughly 30x more expensive
for output tokens.
GPT-4 32K 0613
|
GPT-3.5 Turbo 16K
|
|
---|---|---|
Input
Cost of input data provided to the model.
|
$60.00
per million tokens
|
$3.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$120.00
per million tokens
|
$4.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 32K 0613
and GPT-3.5 Turbo 16K.
GPT-4 32K 0613
|
GPT-3.5 Turbo 16K
|
|
---|---|---|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
Benchmark not available.
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
GPT-4 32K 0613, developed by OpenAI, features a context window of 32768 tokens. The model costs 6.0 cents per thousand tokens for input and 12.0 cents per thousand tokens for output. It was released on June 13, 2023.
GPT-3.5 Turbo 16K, developed by OpenAI, features a context window of 16384 tokens. The model costs 0.3 cents per thousand tokens for input and 0.4 cents per thousand tokens for output. It was released on June 13, 2023.
Measure & Improve LLM
Product Performance.
Get Started