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Overview
GPT-3.5 Turbo 16K was released 7 months after GPT-3.5 Turbo.
GPT-3.5 Turbo 16K
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.
16.4K
tokens
4,096
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
16.4K
tokens
4,096
tokens
Release Date
When the model was first released.
2023-06-13
2022-11-28
Knowledge Cutoff
Limit on the knowledge base used by the model.
Unknown
September 2021
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
GPT-3.5 Turbo 16K is roughly 6.0x more expensive compared to GPT-3.5 Turbo for input tokens and roughly 2.7x more expensive for output tokens.
GPT-3.5 Turbo 16K
GPT-3.5 Turbo
Input
Cost of input data provided to the model.
$3.00
per million tokens
$0.50
per million tokens
Output
Cost of output tokens generated by the model.
$4.00
per million tokens
$1.50
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-3.5 Turbo 16K and GPT-3.5 Turbo.
GPT-3.5 Turbo 16K
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)
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.
43.1
(0-shot)
Measure & Improve LLM Product Performance.
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