Understand and compare
GPT-4 32K
vs.
Gemini Flash
Overview
GPT-4 32K was released
about 1 year before
Gemini Flash.
GPT-4 32K
|
Gemini Flash
|
|
|---|---|---|
|
Provider
The entity that provides this model.
|
OpenAI
|
Google
|
|
Input Context Window
The number of tokens supported by the input context window.
|
32.8K
tokens
|
1M
tokens
|
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
Not specified.
|
8,192
tokens
|
|
Release Date
When the model was first released.
|
2023-03-14
|
2024-05-14
|
Pricing
GPT-4 32K is
roughly 480x more expensive compared
to Gemini Flash for input tokens and
roughly 320x more expensive
for output tokens.
|
GPT-4 32K
|
Gemini Flash
|
|
|---|---|---|
|
Input
Cost of input data provided to the model.
|
$60.00
per million tokens
|
$0.13
per million tokens
|
|
Output
Cost of output tokens generated by the model.
|
$120.00
per million tokens
|
$0.38
per million tokens
|
Benchmarks
Compare relevant benchmarks between GPT-4 32K
and Gemini Flash.
|
GPT-4 32K
|
Gemini Flash
|
|
|---|---|---|
|
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
Benchmark not available.
|
78.9
(5-shot)
|
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
Benchmark not available.
|
56.1
(0-shot pass@1)
|
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
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