Compare GPT-4 32K 0613 vs. Llama 3.1 70B Instruct

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Overview

GPT-4 32K 0613 was released about 1 year before Llama 3.1 70B Instruct.

	GPT-4 32K 0613	Llama 3.1 70B Instruct
Provider The entity that provides this model.	OpenAI	Meta
Input Context Window The number of tokens supported by the input context window.	32.8K tokens	128K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	Not specified.	2,048 tokens
Release Date When the model was first released.	June 13th, 2023 over 1 year ago 2023-06-13	July 23rd, 2024 4 months ago 2024-07-23
Knowledge Cutoff Limit on the knowledge base used by the model.	Unknown	December 2023 December 2023
Open Source	No	Yes
API Providers The providers that offer this model. (This is not an exhaustive list.)	OpenAI	Azure AI, AWS Bedrock, Google Cloud Vertex AI Model Garden, NVIDIA NIM, IBM watsonx

Pricing

	GPT-4 32K 0613	Llama 3.1 70B Instruct
Input Cost of input data provided to the model.	$60.00 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$120.00 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between GPT-4 32K 0613 and Llama 3.1 70B Instruct.

	GPT-4 32K 0613	Llama 3.1 70B Instruct
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	Benchmark not available.	83.6 (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.
GSM8K Grade-school math problems benchmark.	Benchmark not available.	95.1 (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.	68.0 (0-shot) Source

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