AI Pricing & Model Economics
OpenAI Cuts AI Agent Prices: What GPT-6.1 Terra Means for Business Costs
AI Wallet
AI is becoming cheaper, but the important question for businesses is not simply how much a model costs per token. It is how much work can be completed for the same budget. OpenAI’s GPT-6.1 Terra, now listed in its API documentation, costs $1.00 per million input tokens, $0.05 for cached input and $5.00 for output, compared with $2.00, $0.20 and $12.00 for GPT-5.6 Terra. That is a substantial reduction in the cost of running AI-powered workflows, especially those processing large volumes of documents, images and repetitive tasks.
Verified facts (checked 27 October 2026 against OpenAI’s model page and pricing page): standard short-context prices above; Batch and Flex are 50% lower than Standard; regional processing adds 10%; prompts over 272K input tokens cost 2× input and 1.5× output.
The simulator is a hypothetical estimate based on list prices. Default example: 10M input and 2M output tokens, no cache, no batch — $44 before, $20 after, $24 saved per month ($288 per year).
What this means for businesses: Lower operating costs — businesses may process more documents, customer requests and internal workflows for the same budget. More affordable automation — lower inference costs can improve the economics of AI agents handling repetitive tasks. Model selection still matters — the cheapest model per token is not necessarily the cheapest model per completed task; accuracy, retries, latency and token usage affect total costs. U.S. and European pricing: all prices are quoted in USD. OpenAI adds a 10% premium for regional processing where available, and European customers may also face taxes and exchange-rate differences.