Gemini Pro, developed by Google, features a context window of 32768 tokens. The model costs 0.0125 cents per thousand tokens for input and 0.0375 cents per thousand tokens for output. It was released on December 13, 2023, and has achieved a score of 47.9 in the MMMU benchmark with a "pass@1" caveat and a score of 71.8 in the MMLU benchmark in a 5-shot scenario.
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Overview
Gemini Pro
Provider
The entity that provides this model.
Google
Input Context Window
The number of tokens supported by the input context window.
32.8K
characters
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
characters
Release Date
When the model was first released.
2023-12-13
Pricing
Gemini Pro
Input
Cost of input data provided to the model.
Pricing not available.
Output
Cost of output tokens generated by the model.
Pricing not available.
Benchmarks
Gemini Pro
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
71.8
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
47.9
(pass@1)
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
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