Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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So how much does one review actually cost to run? The answer depends a lot on which model you pick. Walk down today's list of options and the same review ranges from about a penny to about forty-one cents.
Start with the frontier models. Claude Opus 4.6 costs five dollars per million tokens read and twenty-five dollars per million written. It is the premium choice, and that shows up in the cost. Run the full workflow on it and each review costs about forty-one cents. Across 3.75 million reviews, that is about $1.55 million a year. OpenAI's GPT-5.2 is cheaper, at $1.75 and $14.00 per million. It lands near nineteen cents a review, or about $728,000 a year.
The mid-tier models cost less. Claude Sonnet 4.6, at $3.00 and $15.00, runs about twenty-five cents a review, or roughly $928,000 a year. GPT-4o, at $2.50 and $10.00, comes in around eighteen cents, or about $684,000 a year.
The open-weight models cost far less again. Alibaba's Qwen3.5 397B, at forty cents and $2.40 per million, costs under four cents a review, about $138,000 a year. Its smaller version, Qwen3.5 Plus, at twenty-six cents and $1.56, costs about $90,000. DeepSeek's V3.2, at twenty-eight and forty-two cents, lands near $52,000. And Meta's Llama 4 Maverick, at fifteen and sixty cents per million, costs barely a penny a review, about $41,000 a year for the whole workflow.
Put the two ends side by side. The most expensive option costs about $1.55 million a year. The cheapest costs about $41,000. That is a thirty-seven-fold difference. Same task. Same words. The only thing that changed is the model.
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