Compare Mistral 7B Instruct vs. Mistral 8x7B Instruct

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Understand and compare Mistral 7B Instruct vs. Mistral 8x7B Instruct

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

Overview

Mistral 7B Instruct was released 3 months before Mistral 8x7B Instruct.

	Mistral 7B Instruct	Mistral 8x7B Instruct
Provider The entity that provides this model.	Mistral	Mistral
Input Context Window The number of tokens supported by the input context window.	32K tokens	32K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	8,192 tokens	4,096 tokens
Release Date When the model was first released.	September 27th, 2023 9 months ago 2023-09-27	December 11th, 2023 7 months ago 2023-12-11

Pricing

Mistral 7B Instruct is roughly 2.8x cheaper compared to Mistral 8x7B Instruct for input and output tokens.

	Mistral 7B Instruct	Mistral 8x7B Instruct
Input Cost of input data provided to the model.	$0.25 per million tokens	$0.70 per million tokens
Output Cost of output tokens generated by the model.	$0.25 per million tokens	$0.70 per million tokens

Benchmarks

Compare relevant benchmarks between Mistral 7B Instruct and Mistral 8x7B Instruct.

	Mistral 7B Instruct	Mistral 8x7B Instruct
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	60.1 (5-shot) Source	70.6 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	Benchmark not available.

Mistral 7B Instruct, developed by Mistral, features a large context window of 32000 tokens. The model is priced at 0.025 cents per thousand tokens for both input and output. It was released on September 27, 2023, and achieved a score of 60.1 in the MMLU benchmark under a 5-shot scenario.

Mistral 8x7B Instruct, developed by Mistral, features a context window of 32000 tokens. The model costs 0.07 cents per thousand tokens for both input and output. It was released on December 11, 2023, and achieved a score of 70.6 in the MMLU benchmark in a 5-shot scenario.

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