Compare Mistral 7B Instruct vs. Gemini 1.5 Pro

Pricing About Us Blog Docs

Book a demo Get Started

Compare

Understand and compare Mistral 7B Instruct vs. Gemini 1.5 Pro

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

Overview

Mistral 7B Instruct was released 5 months before Gemini 1.5 Pro.

	Mistral 7B Instruct	Gemini 1.5 Pro
Provider The entity that provides this model.	Mistral	Google
Input Context Window The number of tokens supported by the input context window.	32K tokens	1M tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	8,192 tokens	8,192 tokens
Release Date When the model was first released.	September 27th, 2023 9 months ago 2023-09-27	February 15th, 2024 5 months ago 2024-02-15

Pricing

Mistral 7B Instruct is roughly 28x cheaper compared to Gemini 1.5 Pro for input tokens and roughly 84x cheaper for output tokens.

	Mistral 7B Instruct	Gemini 1.5 Pro
Input Cost of input data provided to the model.	$0.25 per million tokens	$7.00 per million tokens
Output Cost of output tokens generated by the model.	$0.25 per million tokens	$21.00 per million tokens

Benchmarks

Compare relevant benchmarks between Mistral 7B Instruct and Gemini 1.5 Pro.

	Mistral 7B Instruct	Gemini 1.5 Pro
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	60.1 (5-shot) Source	81.9 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	58.5 (0-shot) Source
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.

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.

Compare more models

Mistral 7B Instruct vs.

GPT-3.5 Turbo 16K