ScaleDown: Summarize
scaledown/summarize · ScaleDownUnmeasurable- Declared family
- Unknown
- Entered catalogue
- 13 October 2026
- Last tested
- 17 October 2026
- Measurement
- Unmeasurable: prompt caching corrupts its token accounting
- Evidence confidence
- Unknown
AI Desk · AI FingerprintingNew arrival
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Not measured yet | we measured it |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_06c08ce5 |
| How much it can read and write | Reads up to 1,000,000 tokens at once, writes up to 4,000 | its own listing |
| Who served our requests | ScaleDown | we measured it, 17 October 2026 |
Click a row to open the full comparison.
We sent ScaleDown: Summarize fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 117 prompt tokens.
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...