license: cc-by-4.0
pretty_name: Lantern Works GPU Rental Price History
language:
- en
tags:
- gpu
- cloud-pricing
- h100
- a100
- time-series
- mcp
- ai-infrastructure
size_categories:
- n<1K
configs:
- config_name: points
data_files: gpu_price_points.csv
- config_name: changes
data_files: gpu_price_changes.csv
Lantern Works GPU Rental Price History
A daily history of per-GPU-hour rental prices from tracked cloud GPU providers (H100, H200, A100, L40S, RTX 4090/5090, RTX A6000, B200 and others), 27 vendors with a ranked price in the latest snapshot. This covers tracked providers only, not the whole market.
Snapshot range: 2026-10-27 to 2026-11-04 (9 daily snapshots). The files hold 179 price series, 277 change points and 82 price changes.
Query the live data with an MCP agent
Lantern Works runs a free, read-only MCP server (no API key) over the same live feed this dataset is built from.
Hosted endpoint (nothing to install, 13 tools):
claude mcp add --transport http lantern-works-deals "https://lantern-works-mcp.lantern-works.workers.dev/mcp?ref=hf"
For Claude Desktop, Cursor or VS Code, add https://lantern-works-mcp.lantern-works.workers.dev/mcp?ref=hf as an HTTP MCP server. The hosted endpoint adds four opt-in price-watch tools (create_watch_key, watch_price, list_watches, delete_watch) to the 9 package tools.
Stdio (local, 9 tools, PyPI lantern-works-deals-mcp 0.6.0):
claude mcp add lantern-works-deals -- uvx lantern-works-deals-mcp
or in an MCP client config:
{"mcpServers": {"lantern-works-deals": {"command": "uvx", "args": ["lantern-works-deals-mcp"]}}}
Package tools: compare_gpu_prices, get_price_changes, estimate_job_cost, rebuild_quote, optimize_stack, optimize_agent_stack (estimates a monthly stack cost from a plain-text agent description), search_deals, compare_deals, get_deal.
Example prompt:
Find the cheapest tracked H100 rental, estimate a 100-hour run on it, and tell me whether that rate changed since yesterday. Show the vendor source and check time for each price.
Files
gpu_price_points.csv: one row per change point. Each row is the first snapshot date at that price or status for a series (vendor | gpu | tier | vram_gb | gpu_count). Columns: key, vendor, gpu, tier, vram_gb, gpu_count, billing_unit, first_seen, date, hourly_usd, price_usd, status, verified_at.status:ranked;held(published but not ranked, either stale or too thin a marketplace); orremoved(no longer tracked).
gpu_price_changes.csv: day-over-day price changes (from_hourly_usd, to_hourly_usd, change_pct, source_url).history.json: the raw upstream file.
Live feeds (always current)
- Current prices: https://thelanternworks.com/api/v1/gpu-prices.json?ref=hf
- Changes since yesterday: https://thelanternworks.com/api/v1/gpu-price-changes.json?ref=hf
- Upstream history: https://thelanternworks.com/api/v1/gpu-prices/history.json?ref=hf
In a notebook:
import json, urllib.request
feed = json.load(urllib.request.urlopen("https://thelanternworks.com/api/v1/gpu-prices.json?ref=hf"))
h100 = sorted((r for r in feed["rates"] if r["canonical_model"] == "H100"), key=lambda r: r["hourly_equiv_usd"])
Sources and method
- Each rate comes from the vendor's own pricing page or API (
source_url). A daily job re-reads every source (robots.txt respected) and updates a price only where it parsed one. A rate not re-verified for 7 days is held and not ranked. - Prices are list prices before tax, storage and egress. Check the vendor page before you pay.
- Some vendor links on the Lantern Works site and in MCP results may be referral links. They are labelled, and they do not affect which prices are listed or how they are ranked.
source_urlin these files is always the vendor's own pricing page.
Update cadence
Upstream refreshes daily at about 10:23 UTC. This dataset copy is a snapshot and can lag the live feed until it is re-published.
License
The price data is licensed CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Credit: Lantern Works (https://thelanternworks.com/?ref=hf). Prices are factual quotes from the vendors' public pages. The MCP server code is MIT.