Compare Gemini Ultra vs. GPT-3.5 Turbo

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Understand and compare Gemini Ultra vs. GPT-3.5 Turbo

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

Overview

	Gemini Ultra	GPT-3.5 Turbo
Provider The entity that provides this model.	Google	OpenAI
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.	Unknown	November 28th, 2022 over 1 year ago 2022-11-28

Pricing

	Gemini Ultra	GPT-3.5 Turbo
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 Ultra and GPT-3.5 Turbo.

	Gemini Ultra	GPT-3.5 Turbo
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	83.7 (5-shot) Source	70.0 (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.	85.5 (10-shot) Source

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.

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).

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