Llama 3.3 70B Instruct
import { streamText } from 'ai'
const result = streamText({ model: 'meta/llama-3.3-70b', prompt: 'Why is the sky blue?'})Frequently Asked Questions
What specifically improved in Llama 3.3 70B Instruct over Llama 3.1 70B?
Instruction following quality and multilingual capabilities. Llama 3.3 70B Instruct delivers performance comparable to the much larger 3.1 405B, with refinements in how the model handles detailed and constrained instructions.
Is Llama 3.3 70B Instruct a drop-in upgrade from 3.1 70B?
Architecturally, yes. But improved instruction following means outputs may differ in style or format compared to 3.1 70B for the same prompts. Run regression tests against existing prompts before switching production workloads.
Does Llama 3.3 70B Instruct support vision inputs?
No. It is a text-only model. For multimodal workflows at the 70B scale, Llama 3.2 90B (adapter-based vision) or Llama 4 Maverick (natively multimodal) are the appropriate alternatives.
How does Llama 3.3 70B Instruct relate to the broader Llama ecosystem tooling?
Fully compatible with Llama Stack distributions, which provide standardized interfaces for RAG and agentic application development.