Groq LLAMA3.3 70B Versatile vs GPT-4o
Detailed comparison of capabilities, features, and performance.
Feature
Groq LLAMA3.3 70B Versatile
GPT-4o
Model Image
AI Lab
Meta
OpenAI
Context Size
131,072 tokens
128,000 tokens
Max Output Size
8,000 tokens
4,096 tokens
Frontier Model
No
No
Vision Support
No
Yes
Description
The 70B parameter version of Meta's Llama model delivers state of the art performance (running on Groq)
The Omni model from OpenAI that reasons across audio vision and text
Learn more about Groq LLAMA3.3 70B Versatile
View detailed specifications and capabilities
View model details →Learn more about GPT-4o
View detailed specifications and capabilities
View model details →More model comparisons
Try both models in your workspace
Access both Groq LLAMA3.3 70B Versatile and GPT-4o in a single workspace without managing multiple API keys.
Create your workspace