The public dataset

Everything on this site is also a file. Seven files, built with the site from the same data the pages show, so a number here is the number on the page. All of them are published under CC BY 4.0: use, copy and redistribute with attribution to “GPU Economy” and a link to the page or file you used. Cite the linked source for a price itself, and cite us for the normalization, the index and the comparisons. No key, no rate limit.

From a script, send a User-Agent header. Any value works: curl, requests, Node and Go clients are served as they are. The hosting platform, though, refuses Python’s built-inurllib when it sends its default agent (Python-urllib/3.x): HTTP 403, “error code: 1010”. That check sits above the settings we control, so with the standard library, name your client:

import json, urllib.request
req = urllib.request.Request('https://gpueconomy.com/prices.json', headers={'User-Agent': 'my-analysis/1.0'})
prices = json.load(urllib.request.urlopen(req))
print(prices['count'], 'quotes, data updated', prices['data_updated_at'])

Data updated September 12, 2026. Two sources are labelled wherever they appear: gpueconomy is our own hourly scrape (from the week of September 7, 2026);skypilot-catalog is a second-hand history reconstructed from the public SkyPilot catalog, with a commit permalink per row. They are never merged. How the numbers are made: methodology.

Slices

The price file also ships narrowed, so a reader who wants one card or one provider does not fetch all220 rows. Same fields, fewer rows, same license:

The ids are the ones in gpus.json and providers.json, and they are the same ids in the page URLs — so a slice URL can be derived from a page URL without a lookup. There is no query API and no key: the site is static files on a CDN, and a filter parameter would need a runtime that can be down while the pages are up.

Receipts for the Price Index

Every published week of the Price Index has a receipt: one CSV row per quote that entered that week’s value — provider, region, usd_per_gpu_hour, scope, source URL, read time — at /price-index/receipts/{YYYY-Www}.csv, for example /price-index/receipts/2026-W37.csv (provisional). A closed week’s receipt never changes. How to turn one back into the published number, with the command: reproduce the index. Each week in price-index.json carries its receipt URL.

/prices.json JSON

Every current rental quote: one row per provider, GPU, price type and region, normalized to USD per GPU per hour, with the listed price it came from and its source URL. The same rows and fields as CSV: /prices.csv.

Updated: Hourly, when a price moved. · Size now: 220 quotes, 21 providers, 20 GPUs.

/price-index.json JSON

The Cloud GPU Price Index: current value with its constituents (each linked), the weekly series with vintage and the base-100 index, and the reconstructed historical series.

Updated: Hourly; the running week is provisional, closed weeks are final. · Size now: 1 weeks of our own series from September 7, 2026, 87 reconstructed weeks from January 6, 2025.

/price-index.csv CSV

The weekly series of our own index only.

Updated: Hourly. · Size now: 1 weeks.

/price-index-history.csv CSV

The reconstructed H100 series from the public SkyPilot catalog, kept in its own file.

Updated: Weekly, the Monday after a week closes. · Size now: 87 weeks.

/history.json JSON

Weekly history for every model with enough weeks: median and cheapest listed on-demand rate per week, who listed the cheapest and where, from both sources, labelled.

Updated: Hourly for our own series; weekly for the reconstructed one. · Size now: 18 models, 1401 weekly points.

/providers.json JSON

Every provider tracked or listed: type, how its prices are read, what its region label means, and its current contribution.

Updated: With every site build. · Size now: 27 providers, 21 scraped.

/gpus.json JSON

Every GPU model tracked: specs, current coverage, the 3+-seller retail median, and the manufacturer list price where the vendor publishes one.

Updated: With every site build. · Size now: 20 models.

Reading the numbers

• usd_per_gpu_hour is the only cross-provider comparable figure. A node price is divided by its GPU count; a per-second rate is multiplied by 3,600; a EUR listing is converted at the ECB rate stored next to it.
• price_scope says what a figure covers: a full instance, the GPU line item alone, a marketplace floor (median of the five cheapest verified asks), or an advertised “from” rate. Compare like with like.
• The index is a level (the dollar median, printed with its panel size) and a change (the base-100 index, which moves only when a listed price changes). Cite the median for “what it costs” and the index for “how it moved”.
• Vintage: the running week is provisional and is recomputed every hour; a week that has closed is final and never recomputed.

Cite this page

Published under CC BY 4.0: use and redistribute with attribution and a link. Cite the linked source for a price itself, and cite us for the normalization, the index and the comparison. For a single figure, cite the page it appears on; for bulk use, cite this page and name the file.

Data updated: September 12, 2026