What is Vendor lock-in?
Vendor lock-in is a commercial or pricing concept in the AI market. It is part of the vocabulary teams use when they compare models, design prompts or review an AI system.
Definition
Vendor lock-in is a commercial or pricing concept in the AI market. It is part of the vocabulary teams use when they compare models, design prompts or review an AI system. The term is used in business and pricing discussions, where precision matters: two teams can use the same word to mean slightly different things. In this glossary, vendor lock-in is treated as a practical concept rather than a formal specification.
Why it matters
Business terms describe how AI models are packaged, priced and procured. They matter because token pricing, caching and volume discounts can change the economics of a product more than a few benchmark points.
Example
Suppose you are comparing Llama 3.1 Chat with another model for a production task. Vendor lock-in is one of the factors behind the numbers you see: Llama 3.1 Chat lists a 32,768-token context window, costs $3.82 per million input tokens and scores 78.9 on MATH-500. Understanding the term helps you decide which of those differences actually matter for your workload.
How to evaluate it
- Check whether vendor lock-in is defined the same way in the documentation you are reading.
- Ask which measurement or trade-off the term is describing before comparing numbers.
- Separate vendor claims from independently observed behaviour on your own data.
- Write down the definition your team uses so reviews and evaluations stay consistent.
Related terms
Related guides
FAQ
What does Vendor lock-in mean?
Vendor lock-in is a commercial or pricing concept in the AI market. It is part of the vocabulary teams use when they compare models, design prompts or review an AI system.
Why does Vendor lock-in matter?
Business terms describe how AI models are packaged, priced and procured. They matter because token pricing, caching and volume discounts can change the economics of a product more than a few benchmark points.
How is Vendor lock-in used in practice?
Suppose you are comparing Llama 3.1 Chat with another model for a production task. Vendor lock-in is one of the factors behind the numbers you see: Llama 3.1 Chat lists a 32,768-token context window, costs $3.82 per million input tokens and scores 78.9 on MATH-500. Understanding the term helps you decide which of those differences actually matter for your workload.