Llama-3.3-70B-Instruct (Deep Infra)

Llama-3.3-70B-Instruct is Meta's instruction-tuned 70-billion-parameter large language model in the Llama 3 family, designed for general-purpose chat, reasoning, and developer-oriented tasks such as code generation, summarization, and question answering. A version of this model is deployed on Deep Infra under the model key deepinfra/meta-llama/Llama-3.3-70B-Instruct, where it is positioned as a fast, response-time-focused variant for production chat workloads. Third-party listings describe it as a "lightweight and ultra-fast variant of Llama 3.3 70B" suited to scenarios where quick replies matter most, though that wording comes from a router page rather than Meta's own materials. As an open-weights release, the underlying model can also be self-hosted, giving teams flexibility beyond the hosted Deep Infra endpoint.

The Deep Infra deployment is configured with a 131,072-token context window, making it well suited to long-document analysis, multi-turn conversations, and retrieval-augmented workflows that need to keep extensive material in scope. Tool calling is listed as a supported capability, allowing the model to be wired into agent pipelines and external APIs through structured function calls. Because the deployment is part of the broader Llama 3.3 family, it inherits the lineage of safety tuning, multilingual coverage, and coding assistance that defines recent Llama Instruct releases, while the 70B size strikes a balance between reasoning quality and serving cost for many enterprise and developer use cases. Teams looking for a production-ready, open-weights chat model with a large context window and function-calling support will find this deployment a practical fit.