Llama 4 VS Meta Llama 3

Let’s have a side-by-side comparison of Llama 4 vs Meta Llama 3 to find out which one is better. This software comparison between Llama 4 and Meta Llama 3 is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Llama 4 or Meta Llama 3 fits your business.

Llama 4

Llama 4
Meta's Llama 4: Open AI with MoE. Process text, images, video. Huge context window. Build smarter, faster!

Meta Llama 3

Meta Llama 3
Discover the peak of AI with Meta Llama 3, featuring unmatched performance, scalability, and post-training enhancements. Ideal for translation, chatbots, and educational content. Elevate your AI journey with Llama 3.

Llama 4

Launched
Pricing Model Free
Starting Price
Tech used
Tag Text Generators,Developer Tools,Data Science

Meta Llama 3

Launched 1991-01
Pricing Model Free
Starting Price
Tech used Gzip,HTTP/3,JSON Schema,OpenGraph,HSTS
Tag Language Learning,Translator,Meta Description Generators

Llama 4 Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Meta Llama 3 Rank/Visit

Global Rank 74313
Country United States
Month Visit 837039

Top 5 Countries

16.99%
13.61%
3.59%
2.89%
2.83%
United States India Germany Brazil United Kingdom

Traffic Sources

2.53%
0.56%
0.1%
6.6%
58.04%
32.14%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Llama 4 and Meta Llama 3, you can also consider the following products

LlamaIndex - LlamaIndex builds intelligent AI agents over your enterprise data. Power LLMs with advanced RAG, turning complex documents into reliable, actionable insights.

Monster API - MonsterGPT: Fine-tune & deploy custom AI models via chat. Simplify complex LLM & AI tasks. Access 60+ open-source models easily.

TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

WordLlama - WordLlama is a utility for natural language processing (NLP) that recycles components from large language models (LLMs) to create efficient and compact word representations, similar to GloVe, Word2Vec, or FastText.

More Alternatives