LLM Comparison Tool
GPT-4o vs Llama 3.1 70b
Comparison of Large Language Model capabilities, costs, and benchmark performance between OpenAI's GPT-4o and Perplexity's Llama 3.1 70b.
GPT-4o is 150.0% more expensive than Llama 3.1 70b
GPT-4o was released 2 months before before Llama 3.1 70b
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.
OpenAI
PerplexityModel Name
Name of the model.
GPT-4o
Llama 3.1 70b
Pricing
Input Processing
Cost per million tokens for processing prompts and inputs.
$2.50per million tokens
$1.00per million tokens
Generation
Cost per million tokens for model-generated responses.
$10.00per million tokens
$1.00per 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.
16384Ktokens
2Ktokens
Initial Release
First public release date.
May 13, 2024
July 23, 2024
Training Data Cutoff
Latest date of data included in training.
October 2023
December 2023
License Type
Model licensing and availability.
Proprietary
Open Source
Performance Metrics
General Knowledge (MMLU)
Accuracy on diverse academic and real-world topics.
88.7score
5-shotsource
83.6score
5-shot
Multimodal Tasks (MMMU)
Performance on tasks combining text, images, and other media.
69.1score
Not available
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.
76.6score
0-shotsource
68.0score
0-shot
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