Understand and compare
GPT-4
vs.
GPT-3.5 Turbo 16K
Overview
GPT-4 was released
3 months before
GPT-3.5 Turbo 16K.
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|
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Provider
The entity that provides this model.
|
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Input Context Window
The number of tokens supported by the input context window.
|
8,192
tokens
|
16.4K
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
tokens
|
16.4K
tokens
|
Release Date
When the model was first released.
|
2023-03-14
|
2023-06-13
|
Pricing
GPT-4 is
roughly 10x more expensive compared
to GPT-3.5 Turbo 16K for input tokens and
roughly 15x more expensive
for output tokens.
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|
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Input
Cost of input data provided to the model.
|
$30.00
per million tokens
|
$3.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$60.00
per million tokens
|
$4.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4
and GPT-3.5 Turbo 16K.
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|
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
86.4
(5-shot)
|
Benchmark not available.
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
34.9
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
95.3
(10-shot)
|
Benchmark not available.
|
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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.
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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