Understand and compare
Gemini Pro
vs.
GPT-3.5 Turbo
Overview
Gemini Pro was released
about 1 year after
GPT-3.5 Turbo.
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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.
|
32.8K
characters
|
4,096
tokens
|
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
|
8,192
characters
|
4,096
tokens
|
Release Date
When the model was first released.
|
2023-12-13
|
2022-11-28
|
Pricing
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|
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Input
Cost of input data provided to the model.
|
Pricing not available.
|
$0.50
per million tokens
|
Output
Cost of output tokens generated by the model.
|
Pricing not available.
|
$1.50
per million tokens
|
Benchmarks
Compare relevant benchmarks between Gemini Pro
and GPT-3.5 Turbo.
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|
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
|
71.8
(5-shot)
|
70.0
(5-shot)
|
MMMU
A wide ranging multi-discipline and multimodal benchmark.
|
47.9
(pass@1)
|
Benchmark not available.
|
HellaSwag
A challenging sentence completion benchmark.
|
Benchmark not available.
|
85.5
(10-shot)
|
![](https://with.context.ai/assets/google-c8f988d7a45b564da5965132d7479ae30327702e3e9fbc3df8f03c2842e0834e.png)
GPT-3.5 Turbo, developed by OpenAI, features a context window of 4096 tokens. It is priced at 0.05 cents per thousand tokens for input and 0.15 cents per thousand tokens for output. The model was released on November 28, 2022, and has achieved high scores in benchmarks like HellaSwag (85.5 in a 10-shot scenario) and MMLU (70.0 in a 5-shot scenario).
![](https://with.context.ai/assets/openai-5e3235388de8d8803af80dc53ea68559e0a4f698ae58b3eb9ea8048515f1bac1.png)
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