Business · The Register
Anthropic currently charges $5/M tokens (input) and $25/M tokens (output) for its latest model, Opus 4.7
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If you run the numbers on different hardware, priced at a different time, with different energy costs, on different models, with different utilization, you'll get different results.
Key facts
- US private AI investment reached $285.9 billion in 2025, according to Stanford HAI's 2026 Artificial Intelligence Index Report
- Anthropic currently charges $5/M tokens (input) and $25/M tokens (output) for its latest model, Opus 4.7
- That's the base cost for inference on an Nvidia H100 GPU, rented at a cost of $2.50/hour and generating 185 tokens/second at 100 percent utilization
- As the report states, "AI data center power capacity rose to 29.6 GW, comparable to New York state at peak demand, and annual GPT-4o inference water use alone may exceed the drinking water needs
Summary
It's a simple question and an important one – the answer will determine the fate of companies and shape society. One possible response is "too much. As the report states, "AI data center power capacity rose to 29.6 GW, comparable to New York state at peak demand, and annual GPT-4o inference water use alone may exceed the drinking water needs of 12 million people. Then there's the cost to human competency, when skills atrophy or never develop due to overreliance on prompt slot machines. You could start with the token, the basic unit for selling the input and output of AI models at the moment.