💸 What if the cheapest AI model is actually costing your business the most money?

A cheaper model might take ten attempts to complete a task, while a more expensive one gets it right first time. Add the hours spent correcting mistakes, and suddenly the cheaper option doesn't look so cheap.

In this episode of The AI and Marketing Podcast for Local Businesses, Adam and Josh unpack Anthropic's research into the real cost of AI, Claude Opus 5.5's new pricing and why businesses should measure the cost of completing a task, not simply the price of an AI subscription.

Here is what we break down 👇

🤖 What are you actually paying for? We explain AI models, tokens and APIs in plain English, including how usage-based pricing differs from a monthly subscription.

💰 Fresh input, output and cached input. Why AI companies charge for new information, generated answers and previously processed information that can be reused more cheaply.

🧠 Are you paying for AI's thinking time? Advanced models can perform additional reasoning before answering, and that processing can contribute to your costs.

📉 Claude Opus 5.5's price reductions. Anthropic reports 20% cheaper standard input and output tokens, plus 60% cheaper cached input reads compared with Opus 5.

🔄 The hidden cost of repeated attempts. Every correction and retry can increase processing costs. A cheap first response does not necessarily mean a cheap completed task.

⚡ When paying more saves money. A more capable model may complete complex work with fewer mistakes, while a simpler model may be sufficient for straightforward administration.

🧩 Why reasoning effort matters. We explain low, medium and high reasoning settings, and when additional thinking could prevent expensive mistakes.

✅ Why AI should check its own work. Testing website functionality, checking calculations and verifying content can catch errors before they reach you.

⏳ Your time is the biggest hidden cost. If AI generates something in 30 seconds but you spend an hour correcting it, are you really saving money?

🏢 Five practical ways to reduce AI costs. Give better instructions, choose the right model, introduce useful checks, reuse information and measure the finished outcome.

🎯 The biggest takeaway

Stop asking:

"How much does this AI model cost?"

Start asking:

"How much does it cost to get the job done properly?"

The cheapest AI model is not necessarily the most cost-effective.

Measure the total cost of completing the task, including AI usage, repeated attempts and your own time.

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📚 Anthropic research:

https://claude.com/blog/what-a-task-costs-on-opus-5-5

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Keywords: AI costs, Claude Opus 5.5, Anthropic, AI pricing, AI productivity, ChatGPT vs Claude, AI tokens, cached input, AI reasoning, AI automation, AI cost optimisation, AI for small businesses, business efficiency, AI marketing.