Understand and compare
Gemini 1.5 Pro
vs.
GPT-4 0613
Overview
Gemini 1.5 Pro was released
8 months after
GPT-4 0613.
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|
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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.
|
1M
tokens
|
8,192
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
tokens
|
8,192
tokens
|
Release Date
When the model was first released.
|
2024-02-15
|
2023-06-13
|
Pricing
Gemini 1.5 Pro is
roughly 4.3x cheaper compared
to GPT-4 0613 for input tokens and
roughly 2.9x cheaper
for output tokens.
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|
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Input
Cost of input data provided to the model.
|
$7.00
per million tokens
|
$30.00
per million tokens
|
Output
Cost of output tokens generated by the model.
|
$21.00
per million tokens
|
$60.00
per million tokens
|
Benchmarks
Compare relevant benchmarks between Gemini 1.5 Pro
and GPT-4 0613.
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|
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
81.9
(5-shot)
|
Benchmark not available.
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
58.5
(0-shot)
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
Benchmark not available.
|
![](https://with.context.ai/assets/google-c8f988d7a45b564da5965132d7479ae30327702e3e9fbc3df8f03c2842e0834e.png)
GPT-4 0613, developed by OpenAI, features a context window of 8192 tokens. The model costs 3.0 cents per thousand tokens for input and 6.0 cents per thousand tokens for output. It was released on June 13, 2023.
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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