Citations

Where the Token Price Index has been used, and how

This page records substantive third-party uses of the Token Price Index in research, analysis and reporting. Each entry describes how the index was used and links to the underlying source where one is available. Community and social-media mentions are not listed, and syndications of the same underlying citation are not counted separately.

Institutional Research

Sell-side and institutional research that uses TPI data as an input.

Bank of America Global Research

Recurring

Frontier AI Tracker

First cited August 2026

Bank of America incorporated the Token Price Index into its Frontier AI Tracker alongside measures of model intelligence, usage, GPU rental rates and memory costs. Subsequent editions continued to track TPI as an indicator of inference pricing and AI economics.

Recurring use of TPI within major global investment-bank research.

Original report is distributed to Bank of America clients; link is to a third-party copy (15 September 2026 edition).

Binance Research

Independent citation

Beyond the AI Boom: Who Is Turning Spend Into Growth

September 2026

Binance Research incorporated Token Price Index data into its analysis of AI economics, charting token usage against TPI and explicitly sourcing the chart to OpenRouter, TokenPriceIndex and Binance Research.

TPI incorporated directly into original institutional research and data visualisation.

Guojin Securities Research Institute

国金证券研究所

Independent citation

When the Answer Becomes the Question

23 August 2026

Guojin Securities cited Token Price Index data in A-share strategy research on AI investment returns, using the index's post-July decline as evidence in its discussion of large-model pricing.

Use of TPI as an input into professional sell-side investment strategy research.

Link is to the report as republished on Sina Finance.

Huachuang Securities

华创证券

Recurring

Weekly Economic Observation

First cited September 2026

Huachuang Securities incorporated TPI into its high-frequency monitoring of the AI sector alongside token volumes and semiconductor memory pricing. Subsequent research used weekly TPI observations to calculate monthly and month-to-date pricing averages.

Recurring use of TPI as a high-frequency AI and macroeconomic indicator within sell-side research.

Link is to a third-party research distribution copy.

Research & Analysis

Independent analysis, academic commentary and professional research drawing on TPI.

Aswath Damodaran

NYU Stern School of Business

Independent citation

AI's Bar Mitzvah Moment: From Hope & Hype to Hard Business Questions!

20 August 2026

Aswath Damodaran used Token Price Index data in his analysis of AI unit economics. A TPI-sourced chart was used to examine the rising price of accessing frontier AI models and what that trend means for the economics and potential profitability of AI businesses.

Independent use of TPI by a prominent finance academic and valuation expert to analyse AI unit economics.

Blackman Trading

Independent verification

Everyone Says Demand for Intelligence Is Insatiable, Part Two

23 August 2026

Blackman Trading independently reconstructed TPI's calculation from its published inputs and reproduced the reported index value before using the series to analyse pricing and demand across different tiers of the AI market.

Independent reproduction and verification of the TPI calculation followed by analytical use of the index.

Datasparq

Independent citation

Do We Still Need Consultants?

22 July 2026

Data and AI consultancy Datasparq cited Token Price Index in its analysis of AI economics and skilled work, using TPI to distinguish falling cost per unit of capability from the changing price of accessing frontier models.

Use of TPI as an external economic data source in professional AI analysis.

SPXMoves

Recurring

Master Thesis: Macro Framework and Falsification Triggers

First cited 29 August 2026

SPXMoves incorporated TPI into its framework for analysing AI economics, distinguishing changes in frontier-access pricing from changes in the cost of a fixed unit of intelligence. It also identifies TPI as a series to monitor on an ongoing basis.

TPI incorporated into an investment-analysis framework and ongoing monitoring process.

Media & Publications

Editorial citations and media coverage. Downstream coverage of a citation listed above is marked as such.

CRN

Independent editorial citation

Anthropic Hits 85,000 Claude Certifications, Eyes Partner Training Expansion

August 2026

CRN used TPI to contextualise enterprise AI economics in its coverage of Anthropic, describing it as the 'widely used Token Price Index' and reporting the blended cost across the TPI model basket.

Independent technology-media treatment of TPI as an established market benchmark for AI token costs.

The AI Exponential

William Usher

Recurring

Compute & Token Markets

First cited 11 September 2026

The AI Exponential tracks TPI in its recurring Compute & Token Markets coverage alongside the Ornn Compute Price Index. It has continued updating TPI as new weekly readings are published and uses the index as a reference price for the economics of AI infrastructure.

Recurring professional-newsletter use of TPI as an AI infrastructure market indicator.

Investing.com

Financial media coverage

BofA Launches AI Tracker as Claude Leads Intelligence Rankings

17 August 2026

Investing.com reported on Bank of America's Frontier AI Tracker and highlighted the Token Price Index reading as part of BofA's monitoring of AI pricing, usage and infrastructure economics.

Financial-media distribution of TPI and Bank of America's use of the index.

Downstream coverage of the Bank of America citation above.

jCodeMunch

Independent industry analysis

Token Cost Radar

26 September 2026

jCodeMunch's Token Cost Radar reported the latest Token Price Index movement, highlighting TPI's fall to $2.13 per million tokens and examining changes at the lower end of the model-pricing market. The analysis also discusses TPI's treatment of time-of-day pricing and the implications for model-routing economics.

Independent industry analysis using TPI data and methodology to examine changes in AI inference pricing.

Methodology Adoption

Third parties that have adapted or built on the TPI methodology.

Innovare Melbourne

Methodology adapted

The Innovare Index

September 2026

Innovare Melbourne states that the geometric-mean methodology behind its own AI posted-price index is adapted from the public Token Price Index. It uses TPI's blended-price approach for comparability and says its index was inspired by the methodology pioneered at tokenpriceindex.com.

Explicit third-party adaptation and acknowledgement of TPI's index methodology.

Citations and references are provided for transparency and do not imply endorsement of Token Price Index by the organisations or individuals listed. To report a citation not listed here, use the contact details on the About page.