LLM Comparison Tool
Llama 3.1 70b vs GPT-4o
Comparison of Large Language Model capabilities, costs, and benchmark performance between Groq's Llama 3.1 70b and OpenAI's GPT-4o.
Llama 3.1 70b is 76.4% less expensive than GPT-4o
Llama 3.1 70b was released 2 months after after GPT-4o
GPT-4o shows better general knowledge performance with a 5.1% difference in MMLU scores
VS
Model Overview 🤖
Provider
Provider
Organization providing the model API.
OpenAIModel Name
Name of the model.
Llama 3.1 70b
GPT-4o
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$0.59per million tokens
$2.50per million tokens
Generation
Cost per million tokens for model-generated responses.
$0.79per million tokens
$10.00per million tokens
Model Details
Context Length
Maximum input length the model can process at once.
128000Ktokens
128000Ktokens
Response Length
Maximum length of a single generated response.
2Ktokens
16384Ktokens
Initial Release
First public release date.
July 23, 2024
May 13, 2024
Training Data Cutoff
Latest date of data included in training.
December 2023
October 2023
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
88.7score
5-shotsource
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
Not available
69.1score
Common Sense (HellaSwag)
Understanding of everyday scenarios and situations.
Not available
Not available
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
76.6score
0-shotsource
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