AI Coding Field Notes
Open dataset of what AI coding agents cost: token pricing, per-million rates, and every published figure (prices, percentages, multiples, token counts and durations) as JSON and CSV. Figures are one row each, carrying the sentence they came from. Plus the field notes behind the numbers.
AI 编程工具到底花多少钱:335 行数,每行带原句和日期
English · 中文 · Español · 日本語 · 한국어 · Tiếng Việt · Français · Deutsch · Русский · Bahasa Indonesia
这是一份公开数表。32 篇实测笔记里出现过的每一个数 —— 价格、百分比、倍数、token 数、耗时 —— 都抽成一行,每行都附上它原来所在的那句话和发布日期。
先看数
下面几行是英文原文照抄,没有翻译:一个数离开它原来那句话就没法核对 —— $1.43 可能是每百万 token、每月、也可能是每个席位。
| Figure | The sentence it came from | Write-up |
|---|---|---|
$1.43 |
The $1.43 and the $9.05 are both frontier models doing a job they were not specifically built for. | The Two Best AI Code Reviewers Score the Same. One Costs $1.43 a Run, the Other $9.05. |
$29 |
Before writing a contract-comparison tool, one builder handled three to ten comparisons by hand at $29 a document, and only turned the routine into software once the same people kept coming back and paying for it. | Debunking the Myth of Overnight Success in Micro-SaaS |
90% |
90% of developers still rely on manual prompt writing, while top performers use Skill Package to automate 80% of repetitive tasks, saving hours weekly. | Best Practices for AI Agent Skill Management |
80% |
When the Claude Code team decided to slash 80% of their system prompts, most developers expected the model to lose its edge in complex engineering tasks. | Why Stripping 80% of System Prompts Actually Improved Claude Code’s Performance |
$30 |
With a budget as low as $30 per day, developers have reached an effective lead cost of $3 to $4. | Stop Reading SimilarWeb Like a Traffic Dashboard — Read It Like a Feasibility Test |
$1,000 |
Instead of chasing a 2.5% consumer conversion rate across unpredictable social channels, you sell a single $1,000 to $5,000 service package directly to one business owner — no massive ad campaigns, no hundreds of low-tier support tickets. | How Indie Developers Are Building AI-Powered “Digital Landlords” and Renting Them Out for Monthly Cash Flow |
40-second |
When an independent developer uses Agency Agents to set up a 40-second response cycle for e-commerce listings, they are building a feedback loop that reads market conditions and adjusts, which is what separates a timed automation from a script on a timer. | Stop Chatting With AI: How I Use /loop and /hook to Automate My Indie Dev Workflow |
9.1% |
One reported case moved entry-group conversion from 9.1% to 55.1% by rebuilding an automated onboarding flow around what the funnel data actually showed, rather than around what the team assumed users were doing. | Boosting AI Bot Conversion: A Deep Dive into Funnel Data |
$1.25 |
Meta priced Muse Spark 1.1 at $1.25 per million input and $4.25 per million output, roughly 75% and 83% below Anthropic’s Opus, and the tradeoff is visible in the benchmarks, since it leads on MCP Atlas and JobBench while trailing on SWE-Bench Pro and DeepSWE 1.1. | 1.6 Billion Free Tokens Is a Compression Ratio, Not a Strategy |
9x |
Open Code Review reports roughly 9x lower token consumption than general-purpose agents while holding accuracy, which suggests that a specialized agent aimed at one job often beats a heavy generalist on the only axis an indie developer can afford to optimize. | Token Optimization for Indie Developers’ AI API Bills |
87 percent |
The 87 percent figure and those two cases are measuring the same thing from different angles, which is time spent moving data by hand between a system that knows the answer and a system that needs it. | The 5 AI Features That Separated 27 Profitable Solopreneurs From the Rest |
40 seconds |
By using an AI agent to automate responses, negotiation, and price adjustment, the average response time can be reduced to within 40 seconds. | From AI Demo to Product: Loop Engineering for Indie Devs |
curl -s https://cdn.jsdelivr.net/gh/xyzs996/ai-coding-field-notes@main/data/figures.json
curl -s https://cdn.jsdelivr.net/gh/xyzs996/ai-coding-field-notes@main/data/figures.csv
字段里的 published 是那篇笔记发出去的日子,不是这个价钱当时还作数的日子。价格一直在变,每一行都得按它自己的日期读。
正文
正文是英文,在这儿:https://xyzs996.github.io/ai-coding-field-notes/ —— 带数表、题目页和厂商页。只想要数的话,上面两条 curl 就够了,不用读正文。
说一句
- 收藏这个仓库,数表更新会跟着走。数据是 CC BY 的,收不收藏都随便拿,这儿不拿数据换 star。
- 数不对? 哪个价钱变了、你自己跑出来是另一个数 —— 提个issue。这个仓库就是干这个的。 (issue)
- 想要的数这儿没有? 说清楚要哪个指标、哪家、什么单位,一行就够 —— 表单只有一格必填,收到就收成新行。 (form)
CC BY 4.0:随便复制、转载、再加工、拿去卖。唯一的条件是说一声出处,挂个链接回 https://xyzs996.github.io/ai-coding-field-notes/ 就行。