Meta Just Gave Everyone a 405 Billion Parameter Model With No Strings Attached

Meta released Llama 3.1 405B, an open weights model trained on 15 trillion tokens that matches GPT-4 performance on MMLU, HumanEval, and GSM8K benchmarks. The weights are downloadable from Hugging Face and licensed for full commercial use with no usage caps. Researchers can now fine-tune the model on consumer GPUs or rent A100 clusters at roughly one tenth the cost of proprietary API calls.

You stop treating frontier models as black box services you rent by the token. Instead you treat them as infrastructure you can modify, host, and audit directly. This shifts your workflow from prompt iteration to actual model surgery and cost control.

The Together AI research team fine-tuned Llama 3.1 405B on domain specific legal data and deployed it on their own inference stack. They report matching GPT-4 Turbo accuracy at 60 percent lower per token cost for their contract review product.