Granite 3.1 2B Instruct, Granite 3.1 8B Instruct, and Llama 3.1 8B Instruct sit in the small-to-mid inference tier, but they reflect two different design philosophies. IBM's Granite 3 series was built for enterprise compliance, tool-use, and structured extraction rather than open-ended generation. Meta's Llama 3.1 8B is a general-purpose instruction model with broad community support. Both IBM models are Apache 2.0 licensed; the Llama 3.1 8B ships under the Llama 3 community license. Granite 3.1 2B is IBM's edge model. At 2 billion parameters its headline feature is 128K context — longer than both Llama 3.2 3B and Gemma 2 2B at this scale, giving it a real advantage on long-document classification tasks where the triage decision needs full document context. IBM designed it for extraction and tool-use pipelines rather than fluid generation. Primary hosting is IBM's watsonx.ai, though other providers are gradually adding coverage. Granite 3.1 8B brought a significant context upgrade in December 2024, expanding from 4K to 128K tokens. IBM benchmarks show strong structured-output and function-calling performance at 8B scale, making it a credible pick for enterprise RAG pipelines and extraction workloads. Apache 2.0 licensing removes commercial friction. Provider breadth is narrower than Llama's ecosystem — watsonx.ai is the primary route, with Together AI and Replicate for pricing flexibility. Llama 3.1 8B Instruct is the community standard at this parameter class. It has the widest provider coverage, most fine-tune community activity, and solid general-purpose instruction following. MMLU lands in the low-to-mid 70s. It does not match the Granite 8B on structured-output and tool-use benchmarks, but for conversational workloads and general text tasks, the ecosystem breadth is a real advantage. Pick Granite 3.1 2B for long-document enterprise extraction at minimum cost. Pick Granite 3.1 8B for structured-output and tool-use workloads in IBM-friendly environments. Pick Llama 3.1 8B for general-purpose production inference with broad provider choice.