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Get an AI-powered breakdown of the real differences between Llama 3 — including a clear recommendation, hidden trade-offs, and scenario-based advice.
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Meta's open-source large language models — 8B, 70B, and 405B parameter sizes. Free for commercial use under 700M monthly users. Run on your own hardware or access through cloud providers. Trained on 15 trillion tokens, supports 30 languages. Self-hosted: free. Cloud API: ~$0.05-$0.35 per million input tokens depending on provider.
A STOA consultant can help you evaluate these tools based on your specific business needs and walk you through implementation.
Talk to STOALlama 3 is best for small businesses that have a developer on staff and want to build AI features into their own apps without paying per-user fees. The biggest advantage is cost — you can run it free on your own hardware or pay as little as $0.05 per million tokens through cloud providers, which beats most commercial AI APIs. The catch is that setup and maintenance require real technical skill, so if you don't have a developer, you'll likely find tools like ChatGPT or Claude much easier to actually use.
