Compare Mistral 7B Instruct vs. Mistral Large

Pricing About Us Blog Docs

Book a demo

Compare

Understand and compare Mistral 7B Instruct vs. Mistral Large

Try Podial

Turn your documents into engaging podcast discussions.

Overview

Mistral 7B Instruct was released 5 months before Mistral Large.

	Mistral 7B Instruct	Mistral Large
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 about 1 year ago 2023-09-27	February 26th, 2024 9 months ago 2024-02-26
Knowledge Cutoff Limit on the knowledge base used by the model.	Unknown	Unknown
Open Source	Yes	Yes
API Providers The providers that offer this model. (This is not an exhaustive list.)	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, Snowflake Cortex	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, Snowflake Cortex

Pricing

Mistral 7B Instruct is roughly 32x cheaper compared to Mistral Large for input and output tokens.

	Mistral 7B Instruct	Mistral Large
Input Cost of input data provided to the model.	$0.25 per million tokens	$8.00 per million tokens
Output Cost of output tokens generated by the model.	$0.25 per million tokens	$8.00 per million tokens

Benchmarks

Compare relevant benchmarks between Mistral 7B Instruct and Mistral Large.

	Mistral 7B Instruct	Mistral Large
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	60.1 (5-shot) Source	81.2 (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.	89.2 (10-shot) Source
GSM8K Grade-school math problems benchmark.	Benchmark not available.	Benchmark not available.
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	Benchmark not available.	Benchmark not available.
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	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 Large, developed by Mistral, features a context window of 32000 tokens. The model is priced at 0.8 cents per thousand tokens for both input and output. It was released on February 26, 2024, and has achieved impressive scores in benchmarks like MMLU (81.2 in a 5-shot scenario) and HellaSwag (89.2 in a 10-shot scenario).

Compare more models

Mistral 7B Instruct vs.

GPT-4o 2024-05-13