Introduction: the fundamental question
When a company evaluates an AI model, the decision is never purely technical: it must balance cost, security, context and ease of use. In a market where Chinese open-weight models offer rock-bottom prices and AI agents are increasingly integrated into business systems, following a structured approach becomes essential.
This article explainshow to choose an AI model for businessin 2026, with concrete examples and prompt snippets you can adapt immediately to your use case.
Step 1: Define your business needs
Before comparing models, clarify what you want to achieve:
- What specific tasks the AI will perform (text generation, data analysis, customer support, etc.)
- What are your processing volumes and timing requirements
- What budget you have available for licenses, infra and training
A clearfunctional requirementavoids misleading comparisons later.
Step 2: Evaluate cost and access
Open-weight models are becoming very competitive, especially those developed in China. Consider these aspects:
- Inference cost:calculate the price per token at scale.
- Licenses and restrictions:some open-weight models have usage terms that limit commercial use.
- Codebase