How to Price AI ProductsAI companies embrace usage-based pricing, credits, and prepaid billing.

Pricing AI products presents unique challenges due to high costs of resources like large language models (LLMs) and GPUs, rapid product growth, and customer demand for predictable spending. Traditional pricing models such as seat-based and fixed flat-rate plans often fail to protect margins or enable growth in the AI industry. Effective strategies include usage-based pricing, cost-plus pricing, success-based pricing, and hybrid models that incorporate credits and limits. Prepaid billing is gaining popularity as it helps manage upfront costs and control customer spending.