Understand and compare
GPT-4 32K
vs.
GPT-3.5 Turbo
Overview
GPT-4 32K was released
4 months after
GPT-3.5 Turbo.
GPT-4 32K
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
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
|
4,096
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
4,096
tokens
|
|
Release Date
When the model was first released.
|
2023-03-14
|
2022-11-28
|
Pricing
GPT-4 32K is
roughly 120x more expensive compared
to GPT-3.5 Turbo for input tokens and
roughly 80x more expensive
for output tokens.
|
GPT-4 32K
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$60.00
per million tokens
|
$0.50
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$120.00
per million tokens
|
$1.50
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 32K
and GPT-3.5 Turbo.
|
GPT-4 32K
|
GPT-3.5 Turbo
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
70.0
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.5
(10-shot)
|
GPT-4 32K, 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 March 14, 2023.
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).
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