FOURWEEKMBA DATA ยท FROM THE NEWSROOM ยท UPDATED 31 OCTOBER 2026
Free to share with a link to this page. Every number comes from the published source listed in the table below, as reported by the FourWeekMBA newsroom.
Every AI model is billed in tokens, the small chunks of text a model reads and writes. Each lab publishes a list price per million tokens. This page lines those prices up for the general-purpose models our newsroom has covered, using each lab's own pricing page or launch post. We use one unit only: US dollars per million input tokens at the standard paid tier. Cached, batch, fast-mode and introductory prices are left out, so every dot measures the same thing. On the prices published between late September and late October 2026, the cheapest models (Claude Haiku 5.5 and GPT-6 Luna) cost $0.10, while the flagships (Claude Fable 5.1 and GPT-6 Astra) cost $10. That is a 100x spread, and both Anthropic and OpenAI span the full range. Picking a model now means picking a price point. We add models as labs launch them and update prices when the newsroom reports a change.
The full chart, free to share with a link to this page. Every number comes from the published source listed in the table below, as reported by the FourWeekMBA newsroom.
also confirmed by fact 12479 (standard tier, short context)
What is left out
Decision models and endpoints, which are not general-purpose models: OpenAI Decisions API $0.10 (fact 8449), Nace Drex Max $0.06 (fact 10442; it also prices per 1,000 decisions) and Baseten joey-1 $0.01 (fact 15195).
Kimi-K3, GLM-5.3 and DeepSeek V4 Pro: only their output prices are stored.
Gemini 4 Carbon: only an introductory price is stored.
How this page stays current
This chart is rebuilt from the FourWeekMBA newsroom’s sourced data. When a company files new numbers or a lab changes a price, our newsroom reports it and this page is updated with the new figure and date.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
