Llama 3.3 just dropped — is it better than GPT-4 or Claude-Sonnet-3.5?

Meta's Llama 3.3 is a newly released AI model that stands out for its performance and cost-effectiveness, despite having significantly fewer parameters than its predecessor, Llama 3.1 405B. The 70-billion parameter model excels in faster inference speeds, achieving 276 tokens per second, and supports eight languages, making it suitable for global applications. Llama 3.3 is 88% more cost-effective than Llama 3.1 405B, with a cost of $0.10 per million input tokens, which appeals to small and mid-sized teams. It boasts an extensive context window of 128,000 tokens, allowing it to handle large volumes of data. The model demonstrates strong performance in multilingual and code benchmarks, sometimes surpassing models like GPT-4 and Claude-Sonnet-3.5. Llama 3.3 is open-source, customizable, and easily accessible through platforms like Meta's site and Hugging Face, although it is limited to text-only applications and has a knowledge cutoff of December 2023. Fine-tuning options include full parameter tuning and more resource-efficient methods like LoRA and QLoRA.