Understand and compare
GPT-4 32K 0613
vs.
GPT-4 32K
Try
Shepherd
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Overview
GPT-4 32K 0613 was released
3 months after
GPT-4 32K.
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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.
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32.8K
tokens
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32.8K
tokens
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Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
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Not specified.
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Release Date
When the model was first released.
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2023-06-13
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2023-03-14
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Knowledge Cutoff
Limit on the knowledge base used by the model.
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Unknown
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Unknown
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Open Source
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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Pricing
GPT-4 32K 0613 is
the same price compared
to GPT-4 32K for input and output tokens.
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Input
Cost of input data provided to the model.
|
$60.00
per million tokens
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$60.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$120.00
per million tokens
|
$120.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 32K 0613
and GPT-4 32K.
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
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Benchmark not available.
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Benchmark not available.
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
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Benchmark not available.
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HellaSwag
A challenging sentence completion benchmark.
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Benchmark not available.
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Benchmark not available.
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GSM8K
Grade-school math problems benchmark.
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Benchmark not available.
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Benchmark not available.
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HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
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Benchmark not available.
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Benchmark not available.
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MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
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Benchmark not available.
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Benchmark not available.
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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.
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