Compare Gemini Ultra vs. Chat Bison

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Understand and compare Gemini Ultra vs. Chat Bison

Generate side-by-side samples for these models in the Context.ai playground

Overview

	Gemini Ultra	Chat Bison
Provider The entity that provides this model.	Google	Google
Input Context Window The number of tokens supported by the input context window.	32.8K characters	8,192 characters
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	8,192 characters	2,048 characters
Release Date When the model was first released.	Unknown	July 10th, 2023 12 months ago 2023-07-10

Pricing

	Gemini Ultra	Chat Bison
Input Cost of input data provided to the model.	Pricing not available.	Pricing not available.
Output Cost of output tokens generated by the model.	Pricing not available.	Pricing not available.

Benchmarks

Compare relevant benchmarks between Gemini Ultra and Chat Bison.

	Gemini Ultra	Chat Bison
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	83.7 (5-shot) Source	78.3 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	59.4 (0-shot pass@1) Source	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	Benchmark not available.

Gemini Ultra, developed by Google, features a large context window of 32768 tokens. The model has excelled in benchmarks like MMMU with a score of 59.4 in a 0-shot pass@1 scenario and MMLU with a score of 83.7 in a 5-shot scenario.

Chat Bison, developed by Google, features a context window of 8192 tokens. The model costs 0.025 cents per thousand tokens for input and 0.05 cents per thousand tokens for output. It was released on July 10, 2023, and achieved a score of 78.3 in the MMLU benchmark in a 5-shot scenario.

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