Compare Mistral Large vs. Llama 3 8B Instruct

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Overview

Mistral Large was released about 2 months before Llama 3 8B Instruct.

	Mistral Large	Llama 3 8B Instruct
Provider The entity that provides this model.	Mistral	Meta
Input Context Window The number of tokens supported by the input context window.	32K tokens	8,000 tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	4,096 tokens	2,048 tokens
Release Date When the model was first released.	February 26th, 2024 10 months ago 2024-02-26	April 18th, 2024 8 months ago 2024-04-18
Knowledge Cutoff Limit on the knowledge base used by the model.	Unknown	March 2023 March 2023
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, NVIDIA NIM, IBM watsonx

Pricing

	Mistral Large	Llama 3 8B Instruct
Input Cost of input data provided to the model.	$8.00 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$8.00 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between Mistral Large and Llama 3 8B Instruct.

	Mistral Large	Llama 3 8B Instruct
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	81.2 (5-shot) Source	68.4 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	Benchmark not available.
HellaSwag A challenging sentence completion benchmark.	89.2 (10-shot) Source	Benchmark not available.
GSM8K Grade-school math problems benchmark.	Benchmark not available.	80.6 (8-shot) Source
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.	29.1 (0-shot) Source

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).

Llama 3 8B Instruct, developed by Meta, features a context window of 8000 tokens. The model was released on April 18, 2024, and achieved a score of 68.4 in the MMLU benchmark.

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