Compare GPT-4 Turbo 1106 vs. Llama 3.1 8B Instruct

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Overview

GPT-4 Turbo 1106 was released 9 months before Llama 3.1 8B Instruct.

	GPT-4 Turbo 1106	Llama 3.1 8B Instruct
Provider The entity that provides this model.	OpenAI	Meta
Input Context Window The number of tokens supported by the input context window.	128K tokens	128K 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.	November 6th, 2023 about 1 year ago 2023-11-06	July 23rd, 2024 4 months ago 2024-07-23
Knowledge Cutoff Limit on the knowledge base used by the model.	April 2023 April 2023	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 Turbo 1106	Llama 3.1 8B Instruct
Input Cost of input data provided to the model.	$10.00 per million tokens	Pricing not available.
Output Cost of output tokens generated by the model.	$30.00 per million tokens	Pricing not available.

Benchmarks

Compare relevant benchmarks between GPT-4 Turbo 1106 and Llama 3.1 8B Instruct.

	GPT-4 Turbo 1106	Llama 3.1 8B Instruct
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	84.7 (5-shot) Source	66.7 (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.	84.5 (8-shot) Source
HumanEval A benchmark to measure functional correctness for synthesizing programs from docstrings.	83.7 (0-shot) Source	Benchmark not available.
MATH Benchmark performance on Math problems ranging across 5 levels of difficulty and 7 sub-disciplines.	64.3 (0-shot) Source	51.9 (0-shot) Source

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