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Understand and compare GPT-4 vs. GPT-3.5 Turbo 16K
Overview
GPT-4 was released 3 months before GPT-3.5 Turbo 16K.
GPT-4
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.
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.
GPT-4
GPT-3.5 Turbo 16K
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.
GPT-4
GPT-3.5 Turbo 16K
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.
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