English | 中文
Real unit price = monthly subscription fee ÷ monthly usable tokens.
Full adopted data is shown first, followed by one Pareto chart per leaderboard. Month = four weeks of saturated use; input, output and cache tokens are all included. Prices use a logarithmic axis, with cheaper points farther right.
Dollar/credit pools and three-part token prices are converted with one project-wide standard workload: 97.5% cache reads, 2.15% fresh input, and 0.35% output. This is a comparison convention, not a claim about any provider's actual workload. Measurements that already report total tokens—dashboard back-calculations, local usage logs, controlled saturation tests, and official absolute-token tables—are not normalized again. Where only total tokens and a cost-weighted percentage are available but the token-type split is unknown, the observed total is retained and the limitation is recorded rather than inventing a split. See conventions and the token-mix audit.
GLM Coding Plan is now recomputed from Zhipu's official weekly credits and cache/input/output credit coefficients using the same standard workload, rather than copying the official 95%-cache example table. Peak and off-peak capacities are still averaged and multiplied by four weeks. A Caijing saturation-cost test and community evidence are consistent in scale, but there is still no fully specified independent V3 Pro/Max saturation test. See the official-table archive and community-evidence review.
All charts: English / 中文, SVG / PNG · English files · 中文文件
Snapshot: 2026-09-07. Each row is one plan × actual served model; allowances of different models under the same plan are alternatives and must not be added together.
| Coverage | Rows |
|---|---|
| All adopted plan × model points | 160 |
| Subscription points with monthly allowance | 149 |
| Metered API baselines | 11 |
| OpenCode Go / Command Code GOAT / Ollama models | 28 / 38 / 20 |
| Code Arena / Agent Arena scored points | 110 / 114 |
| AA Intelligence / AA Coding Agent scored points | 107 / 59 |
Download the data: adopted values (CSV) · computed points (CSV) · computed points (JSON) · data notes and score coverage · dated evidence
All 149 subscription plan × model points, sorted by monthly usable tokens. The standard chart keeps a single logarithmic scale; the hybrid-scale view makes the two very large ChatGPT allowances easier to compare.
English SVG · 中文 SVG · English PNG · 中文 PNG · Hybrid-scale view
Full table: English TXT · 中文 TXT
All 160 subscription and API points on one comparable $/MTok scale.
English SVG · 中文 SVG · English PNG · 中文 PNG
Full table: English TXT · 中文 TXT
Using Real API Pricing as a new baseline, we plot each leaderboard's scores on the Y-axis to redraw its Pareto frontier; the connected line represents that frontier.
English SVG · 中文 SVG · English PNG · 中文 PNG
English SVG · 中文 SVG · English PNG · 中文 PNG
English SVG · 中文 SVG · English PNG · 中文 PNG
English SVG · 中文 SVG · English PNG · 中文 PNG
AA Coding Agent scores describe tested harness × model configurations, with the highest archived configuration used per exact model.
Build instructions · Data documentation · Sources and attribution
Original software: MIT. Data references include Awesome Coding Plan (CC BY 4.0) and the Caijing article 《Token经济,中国账本》. See SOURCES.md for attribution, changes and third-party terms.