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Understand and compare GPT-4 32K 0613 vs. GPT-4o Mini
Overview
GPT-4 32K 0613 was released about 1 year before GPT-4o Mini.
GPT-4 32K 0613
GPT-4o Mini
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.
16.4K
tokens
Release Date
When the model was first released.
2023-06-13
2024-07-18
Knowledge Cutoff
Limit on the knowledge base used by the model.
Unknown
October 2023
Open Source
API Providers
The providers that offer this model. (This is not an exhaustive list.)
Pricing
GPT-4 32K 0613 is roughly 400x more expensive compared to GPT-4o Mini for input tokens and roughly 200x more expensive for output tokens.
GPT-4 32K 0613
GPT-4o Mini
Input
Cost of input data provided to the model.
$60.00
per million tokens
$0.15
per million tokens
Output
Cost of output tokens generated by the model.
$120.00
per million tokens
$0.60
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4 32K 0613 and GPT-4o Mini.
GPT-4 32K 0613
GPT-4o Mini
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
82.0
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
59.4
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.
87.2
(0-shot)
MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
Benchmark not available.
70.2
(0-shot)
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