LLM Comparison Tool
Llama 3.1 70b vs GPT-3.5-turbo
Comparison of Large Language Model capabilities, costs, and benchmark performance between IBM WatsonX's Llama 3.1 70b and OpenAI's GPT-3.5-turbo.
Llama 3.1 70b is 260.0% more expensive than GPT-3.5-turbo
Llama 3.1 70b was released 20 months after after GPT-3.5-turbo
Llama 3.1 70b shows better general knowledge performance with a 13.6% difference in MMLU scores
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Model Overview 🤖
Provider
Provider
Organization providing the model API.
IBM WatsonX
OpenAI
Model Name
Name of the model.
Llama 3.1 70b
GPT-3.5-turbo
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$1.80per million tokens
$0.50per million tokens
Generation
Cost per million tokens for model-generated responses.
$1.80per million tokens
$1.50per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
4Ktokens
Response Length
Maximum length of a single generated response.
2Ktokens
4096Ktokens
Initial Release
First public release date.
July 23, 2024
November 28, 2022
Training Data Cutoff
Latest date of data included in training.
December 2023
September 2021
License Type
Model licensing and availability.
Open Source
Proprietary
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
83.6score
5-shot
70.0score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
Not available
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
85.5score
10-shotsource
Code Generation (HumanEval)
Ability to write and understand programming code.
Not available
Not available
Mathematical Ability (MATH)
Accuracy in mathematical computations and reasoning.
68.0score
0-shot
43.1score
0-shot
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