SpaceGuides/Updated 2026-10-21
Long document summary AI credits
Long document summary AI credits are spent mostly on the document you paste, not on the short reply. On spacebunny.me, 1 credit equals 100 tokens of input plus output, and you see the estimate before send.
- 1. Count tokens before you care about the model. Roughly 100 tokens is 1 credit. A 10,000-token paste is about 100 credits before the reply.
- 2. Trim, then estimate. Remove appendices. The composer shows the next-send estimate, including a typical reply.
- 3. Stay under the cap. Requests hard-cap around 100k tokens so one paste cannot drain the account.
- 4. Buy credits only after the shape is right. Free signup credits cover a real summary. The $10 pack is for repeating the workflow.
The credit math
1 credit = 100 tokens. Input and output both count. A summary reply is usually short, so a long document’s cost is the paste.
About 10,000 tokens of source is 100 credits. About 50,000 tokens is 500 credits. The hard cap near 100,000 tokens is about 1,000 credits of input, plus a small amount for the reply. New accounts start with 200 credits, enough to summarize a mid-size RFC once if you trim it. The $10 pack adds 16,000 credits (about 1.6 million tokens). Starter is $9 for 15,000 credits a month. Pro is $29 for 48,000.
Why input dominates
People overspend by pasting the same spec twice, or by attaching a changelog that the summary will never cite. Cut those before you look at plan tiers. The live estimate is the number that matters; the plan page only tells you how many credits a dollar buys.
After MiniMax’s free window, upstream output is $0.60 per million tokens and input is $0.15. Packs on this site are sized so the price you pay is about 10× that upstream cost when every token is output. Your summary is input-heavy, so the margin on a document paste is wider than that worst case. You still should not paste secrets.
A summary that is worth the credits
Spend the credits on a contract: executive bullets, an outline, risks that cite headings, and actions. That is the same job as the AI summarize RFC guide. Export Markdown so you do not pay to regenerate the same bullets tomorrow.
Questions
How are long document summary AI credits calculated?
1 credit equals 100 tokens, input plus output. A 10,000-token document is about 100 credits before the reply. The playground shows the estimate before send.
What is the maximum document size?
About 100k tokens per request. Larger packets need a table of contents plus the sections that matter, not the entire archive.
Do free credits cover one summary?
200 signup credits cover about 20,000 tokens. Trim a long RFC to fit, or buy the $10 pack if you summarize every week.