How do you choose between Claude, GPT-4, Llama for an enterprise task?

How do you choose between Claude, GPT-4, Llama for an enterprise task?medium

Type: conceptual
Topic: do-you-choose-between-claude-gpt-4-llama-for-an-enterprise
Frequency: common
Tags: llms, how, you, choose, between, claude

Answer

Evaluate on: task performance (run evals on representative samples), context length, latency, cost per token, data privacy (on-prem vs cloud), and licensing.

Explanation

Evaluate on: task performance (run evals on representative samples), context length, latency, cost per token, data privacy (on-prem vs cloud), and licensing. Regulated: Bedrock + Claude for data residency. Cost-sensitive high-volume: Haiku + prompt caching. Reasoning-heavy agentic: Sonnet/Opus. Self-hosted: Llama 3.1/Qwen. Always benchmark on your actual data.

Follow-upCan you give a production example?