Compare Llama 3.1 8B Instruct vs. GPT-3.5 Turbo 16K

Pricing About Us Blog Docs

Compare

to

Understand and compare Llama 3.1 8B Instruct vs. GPT-3.5 Turbo 16K

Turn your documents into engaging podcast discussions.

Overview

Llama 3.1 8B Instruct was released about 1 year after GPT-3.5 Turbo 16K.

	Llama 3.1 8B Instruct	GPT-3.5 Turbo 16K
Provider The entity that provides this model.	Meta	OpenAI
Input Context Window The number of tokens supported by the input context window.	128K tokens	16.4K tokens
Maximum Output Tokens The number of tokens that can be generated by the model in a single request.	2,048 tokens	16.4K tokens
Release Date When the model was first released.	July 23rd, 2024 4 months ago 2024-07-23	June 13th, 2023 over 1 year ago 2023-06-13
Knowledge Cutoff Limit on the knowledge base used by the model.	December 2023 December 2023	Unknown
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

Pricing

	Llama 3.1 8B Instruct	GPT-3.5 Turbo 16K
Input Cost of input data provided to the model.	Pricing not available.	$3.00 per million tokens
Output Cost of output tokens generated by the model.	Pricing not available.	$4.00 per million tokens

Benchmarks

Compare relevant benchmarks between Llama 3.1 8B Instruct and GPT-3.5 Turbo 16K.

	Llama 3.1 8B Instruct	GPT-3.5 Turbo 16K
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.	66.7 (5-shot) Source	Benchmark not available.
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.	84.5 (8-shot) Source	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.	51.9 (0-shot) Source	Benchmark not available.

Compare more models

Llama 3.1 8B Instruct vs.

GPT-4 Turbo 2024-04-09

Llama 3.1 8B Instruct vs.

GPT-3.5 Turbo 1106

Llama 3.1 8B Instruct vs.

GPT-4 Turbo 0125

Llama 3.1 8B Instruct vs.

GPT-3.5 Turbo 16K vs.

GPT-3.5 Turbo 16K vs.

GPT-3.5 Turbo 16K vs.

GPT-3.5 Turbo 0125

GPT-3.5 Turbo 16K vs.

Measure & Improve LLM Product Performance.