Gemini 1.5 Pro by Google features a vast context window of 1,000,000 tokens. The model is priced at 0.7 cents per thousand tokens for input and 2.1 cents per thousand tokens for output. It was launched on February 15, 2024. In benchmark tests, it achieved a score of 58.5 in MMMU with a 0-shot scenario and 81.9 in MMLU with a 5-shot scenario.
Overview
Gemini 1.5 Pro
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Provider
The entity that provides this model.
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Google
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Input Context Window
The number of tokens supported by the input context window.
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1M
tokens
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Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
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8,192
tokens
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Open Source
Whether the model's code is available for public use.
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No
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Release Date
When the model was first released.
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2024-02-15
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Knowledge Cut-off Date
When the model's knowledge was last updated.
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API Providers
The providers that offer this model. (This is not an exhaustive list.)
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Empirical Throughput
The number of tokens the model can generate per second.
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Pricing
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Gemini 1.5 Pro
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Input
Cost of input data provided to the model.
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$7.00
per million tokens
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Output
Cost of output tokens generated by the model.
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$21.00
per million tokens
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Benchmarks
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Gemini 1.5 Pro
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MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
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81.9
(5-shot)
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MMMU
A wide ranging multi-discipline and multimodal benchmark.
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58.5
(0-shot)
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HellaSwag
A challenging sentence completion benchmark.
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93.3
(10-shot)
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HumanEval
A benchmark to measure functional correctness for synthesizing programs from docstrings.
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84.1
(0-shot)
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MATH
Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.
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67.7
(4-shot Minerva Prompt)
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