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vincentcouey/real-ai-price-shrinkflation-index-2026

The Nesyona Effective-Price Index 2026 (AI consumer shrinkflation) First-party research dataset from the Lattice network, published open under CC-BY 4.0 with a permanent DOI. Nothing here is scraped from another dataset — it is computed and published under a single ORCID-verified byline. DOI 10.5281/zenodo.20675138 Published by Nesyona (nesyona.com) Study page https://nesyona.com/research/real-ai-price-shrinkflation-index-2026/ Licence CC-BY 4.0 — reuse freely… See the full description on the dataset page: https://huggingface.co/datasets/vincentcouey/real-ai-price-shrinkflation-index-2026.

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The Nesyona Effective-Price Index 2026 (AI consumer shrinkflation)

First-party research dataset from the Lattice network, published open under CC-BY 4.0 with a permanent DOI. Nothing here is scraped from another dataset — it is computed and published under a single ORCID-verified byline.

DOI`10.5281/zenodo.20675138`
Published byNesyona (nesyona.com)
Study pagehttps://nesyona.com/research/real-ai-price-shrinkflation-index-2026/
LicenceCC-BY 4.0 — reuse freely with attribution
Publication date2026-05-09

What it is

The first public computation of AI consumer effective price per task that accounts for tokenizer inflation and free-tier changes. Effective $/task across Claude Pro, ChatGPT Plus, and ChatGPT Pro for Jan 2026 vs Jun 2026, capturing list-price-flat 'shrinkflation' driven by the Opus 4.7 tokenizer (carried into Opus 4.8). Methodology and full sourcing at https://nesyona.com/research/real-ai-price-shrinkflation-index-2026/ . License CC-BY 4.0.

Citation

bibtex
@dataset{real_ai_price_shrinkflation_index_2026,
  title  = {The Nesyona Effective-Price Index 2026 (AI consumer shrinkflation)},
  author = {Couey, Vincent Wesley},
  year   = {2026},
  doi    = {10.5281/zenodo.20675138},
  url    = {https://doi.org/10.5281/zenodo.20675138}
}

Provenance

Part of the Lattice open research index — every study is CC-BY, DOI-backed and published under one byline. The full index: <https://www.deepsynthesis.org/#research>