	Llama 3.1 405B Instruct	GPT-4
Provider The entity that provides this model.	Meta	OpenAI
Input Context Window The number of tokens supported by the input context window.	128K tokens	8,192 tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	2,048 tokens	8,192 tokens
Release Date When the model was first released.	July 23rd, 2024 4 months ago 2024-07-23	March 14th, 2023 over 1 year ago 2023-03-14
Knowledge Cutoff Limit on the knowledge base used by the model.	December 2023 December 2023	September 2021 September 2021
Open Source	Yes	No
API Providers The providers that offer this model. (This is not an exhaustive list.)	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, NVIDIA NIM, IBM watsonx	OpenAI

	Llama 3.1 405B Instruct	GPT-4
Input Cost of input data provided to the model.	Pricing not available.	$30.00 per million tokens
Output Cost of output tokens generated by the model.	Pricing not available.	$60.00 per million tokens

	Llama 3.1 405B Instruct	GPT-4
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	85.2 (5-shot) Source	86.4 (5-shot) Source
MMMU A wide ranging multi-discipline and multimodal benchmark.	Benchmark not available.	34.9 Source
HellaSwag A challenging sentence completion benchmark.	Benchmark not available.	95.3 (10-shot) Source
GSM8K Grade-school math problems benchmark.	96.8 (8-shot) Source	92.0 (5-shot) Source
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	Benchmark not available.	67.0 (0-shot) Source
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	73.8 (0-shot) Source	Benchmark not available.