Meta: Llama 3.3 70B Instruct

Meta: Llama 3.3 70B Instruct is a text-only model with a 131,072-token context window and a 16,384-token output ceiling. It supports tool use, which makes it suitable for agentic workflows, but it does not offer native reasoning or confirmed structured output support. Input is processed as text only, so multimodal use cases are outside its scope. At $0.10 per million input tokens and $0.32 per million output tokens, it sits in a budget-friendly tier, making it worth considering for high-volume text tasks where cost control matters. Its blended benchmark score of 15.6 across only three benchmarks offers limited confidence in that figure, so teams should treat performance claims as provisional rather than settled. Developers running large batches of tool-assisted text tasks on a tight budget are the most natural fit, while those needing stronger verified performance or multimodal support should look elsewhere.