Compare Gemini Ultra vs. Llama 2 Chat 13B

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Understand and compare Gemini Ultra vs. Llama 2 Chat 13B

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

Overview

	Gemini Ultra	Llama 2 Chat 13B
Provider The entity that provides this model.	Google	Meta
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	2,048 tokens
Release Date When the model was first released.	Unknown	July 18th, 2023 12 months ago 2023-07-18

Pricing

	Gemini Ultra	Llama 2 Chat 13B
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 Llama 2 Chat 13B.

	Gemini Ultra	Llama 2 Chat 13B
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	83.7 (5-shot) Source	54.8 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.

Llama 2 Chat 13B, developed by Meta, features a context window of 4096 tokens. The model was released on July 18, 2023, and achieved a score of 54.8 in the MMLU benchmark.

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