Plan Analysis
English
How the numbers are made

Methodology

The table compares plan tiers, not models. Model scores are cited from Artificial Analysis. This site does not re-benchmark models.

Equivalent API $ and Value ×

Default agent turn: 12,000 input tokens with 70% cache hit plus 1,500 output tokens.

Equiv. API $ = monthly allowance in turns × official API price of the flagship model

Value × = Equiv. API $ / monthly list price

If a vendor only publishes a ratio such as 5× Pro, Value is marked ratio only. We do not invent a token count.

Quotas and parallel sessions

Quota fields stay split: token / credits / prompts / requests, and 5-hour / weekly / monthly windows. Parallel sessions are official when published, otherwise —. Community measurements are a separate column. Capacity / $ prefers official monthly tokens; if a vendor only publishes credits or a ratio, the chart uses tokens implied from Equiv. API $.

History

Each plan is a time series: list price, yearly effective, quota fields, parallel, models, and status. A sparkline on the leaderboard is the last 90 days. The plan page has the full axis. Every production snapshot must keep captured_at, source_url, and official | estimated | unknown.

This build

The public site is static HTML plus one shared, cacheable plans.json. data/catalog.py is the source. scripts/build.py renders one folder per language into dist/. Filters, charts, column toggles, and search run in the browser after a single catalog fetch.