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.
View the Project on GitHub xyzs996/ai-coding-field-notes
7 of the 335 figures in these field notes come from a sentence that names Claude. Each one is quoted verbatim from the write-up it appeared in, with the day that write-up went out.
Some of these are about Claude and some only measure against it — a competitor’s price quoted next to Claude’s belongs here too, because that is the sentence someone searching for the comparison is looking for. The sentence tells you which is which.
This is not a Claude price sheet. Nothing here is read off a vendor page. These are figures a working developer wrote down, and the date is the day the piece was published — not the day the price was in force. Model prices move fast: read every row as of its own date, and treat an old one as a lead rather than a quote.
- 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.” (2026-08-20) →
- $1.25 per million — “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.” (2026-08-19) →
- 80% — “Claude Code’s team discovered that removing 80% of system prompts actually improved programming performance, revealing how excessive model constraints can hinder rather than help AI effectiveness.” (2026-08-07) →
- 400-token — “Anthropic’s 400-token SKILL.md file, through its “two-pass workflow” and specific aesthetic guidance, has achieved over 1 million installations, proving that aesthetic direction is more useful than mere tool innovation.” (2026-08-07) →
- 400 tokens — “Anthropic’s SKILL.md file runs about 400 tokens, uses a two-pass approach with specific aesthetic guidance, and has passed 1.08 million installations.” (2026-08-05) →
- $19 billion — “Anthropic signed a data center lease reported at $19 billion, which is the kind of commitment that only makes sense if compute, not model architecture, is the constraint that decides who is still standing in five years.” (2026-08-05) →
- $19 billion — “Anthropic is not signing a $19 billion lease in order to cut prices in the next 12 months.” (2026-08-05) →
All 335 figures, every kind · JSON · CSV
Where these 7 came from
A Claude figure that is not here yet? Say which metric, which unit, and where you read it — in the open thread. Replies get turned into rows.
All write-ups