Understand and compare
GPT-3.5 Turbo 16K
vs.
GPT-4 32K 0613
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
GPT-3.5 Turbo 16K was released
the same time
GPT-4 32K 0613.
GPT-3.5 Turbo 16K
|
GPT-4 32K 0613
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
OpenAI
|
|
Input Context Window
The number of tokens supported by the input context window.
|
16.4K
tokens
|
32.8K
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
16.4K
tokens
|
Not specified.
|
|
Release Date
When the model was first released.
|
2023-06-13
|
2023-06-13
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Unknown
|
Unknown
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
GPT-3.5 Turbo 16K is
roughly 20x cheaper compared
to GPT-4 32K 0613 for input tokens and
roughly 30x cheaper
for output tokens.
|
GPT-3.5 Turbo 16K
|
GPT-4 32K 0613
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$3.00
per million tokens
|
$60.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$4.00
per million tokens
|
$120.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 16K
and GPT-4 32K 0613.
|
GPT-3.5 Turbo 16K
|
GPT-4 32K 0613
|
|
|---|---|---|
|
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.
|
|
GSM8K
Grade-school math problems benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
|
Benchmark not available.
|
Benchmark not available.
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
Benchmark not available.
|
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.
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.
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