Understand and compare
GPT-4 32K 0613
vs.
GPT-4 Turbo 1106
Try
Podial
Turn your documents into engaging podcast discussions.
Overview
GPT-4 32K 0613 was released
5 months before
GPT-4 Turbo 1106.
GPT-4 32K 0613
|
GPT-4 Turbo 1106
|
|
|---|---|---|
|
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
|
128K
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.
|
2023-06-13
|
2023-11-06
|
|
Knowledge Cutoff
Limit on the knowledge base used by the model.
|
Unknown
|
April 2023
|
|
Open Source
|
|
|
|
API Providers
The providers that offer this model. (This is not an exhaustive list.)
|
|
|
Pricing
GPT-4 32K 0613 is
roughly 6.0x more expensive compared
to GPT-4 Turbo 1106 for input tokens and
roughly 4.0x more expensive
for output tokens.
|
GPT-4 32K 0613
|
GPT-4 Turbo 1106
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$60.00
per million tokens
|
$10.00
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$120.00
per million tokens
|
$30.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 32K 0613
and GPT-4 Turbo 1106.
|
GPT-4 32K 0613
|
GPT-4 Turbo 1106
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
84.7
(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.
|
Benchmark not available.
|
|
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.
|
83.7
(0-shot)
|
|
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
|
Benchmark not available.
|
64.3
(0-shot)
|
GPT-4 32K 0613, 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 June 13, 2023.
GPT-4 Turbo 1106, developed by OpenAI, features an impressive context window of 128,000 tokens. The model costs 1.0 cent per thousand tokens for input and 3.0 cents per thousand tokens for output. It is set to be released on November 6, 2023.
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