ScaleDown Summarize vs Extract on OpenRouter: price and context

Both rows share a 1,000,000 context and 0.04 USD per million input tokens. The listing shows an output price of zero, with completion caps of 4000 and 900000.

On 2026-11-02 the OpenRouter catalog lists scaledown/summarize next to scaledown/extract. This check reads published fields only. It is not a latency test.

Both public pages state 0.04 USD per million input tokens and 0 USD per million output tokens. That is the listed price. ScaleDown Summarize versus Extract differs in job and completion cap, not in this input price.

1000000Context on both rows
0.04Input, USD / 1,000,000 tokens
0.00Listed output, USD / 1,000,000

Price and context already on the listing

Catalog prices are USD per token. The table multiplies prompt and completion by 1,000,000. 0.00000004 × 1,000,000 = 0.04. The completion string is 0, so the listed output price is 0.00.

FieldScaleDown SummarizeScaleDown Extract
Model idscaledown/summarizescaledown/extract
Context10000001000000
Input (USD / 1,000,000 tokens)0.040.04
Listed output (USD / 1,000,000 tokens)0.000.00
prompt (USD / token)0.000000040.00000004
completion (USD / token)00
created (UTC)2026-10-13 12:09:202026-10-13 12:09:11
canonical_slugscaledown/summarize-20260928scaledown/extract-20260928
Modalitytext+image+file → texttext+image+file → text
max_completion_tokens4000900000
hugging_face_idemptyempty
Endpoint discount0.20.2
What an output price of 0 means
The catalog writes completion as 0, and the public page says 0 USD per million output tokens. The listing shows zero. Summarize max_completion_tokens is 4000; Extract is 900000. A listed zero is not output free of all limits.
discount 0.2
The endpoint price object includes this field. This note does not turn it into a second dollar figure. The catalog and the public page still show 0.04 in and a listed 0 out, per 1,000,000 tokens.

What the blurbs say, and which fields differ

Summarize

The API blurb is cut at an ellipsis: an abstractive summarizer from ScaleDown that rewrites long text instead of lifting sentences. supported_parameters lists only max_tokens. Completion cap 4000.

Extract

That blurb is also cut: description-driven entity extraction. Callers name fields in plain English through provider.options.scaledown.entities. Completion cap 900000. Input modalities are again text, image, and file.

Hugging Face has no repo for these two ids

The same day, Hugging Face search=ScaleDown returned 8 repos. Exact searches for the two API ids returned 0. The scaledown author account has one unrelated repo.

QueryResultRelation to these API ids
search=ScaleDown8 reposNo official summarize or extract repo
search=scaledown/summarize0None
search=scaledown/extract0None
author=scaledownpersona_vector_project_artifacts2025-09-03, not these ids
ScaleDown-7B GGUFRichardErkhov, tensorblock, mradermacher2024 community quantizations, unrelated
Dawn9705/openbee-scaledown-stage1–32026-03Name contains scaledown; not these ids

Read the rows in this order

  1. 01
    Match context and input price

    Both rows show context 1000000 and 0.04 USD per 1,000,000 input tokens. The raw prompt price is 0.00000004 USD per token.

  2. 02
    Then read the listed output price and the cap

    completion is 0 on both, so the listing shows zero. Also read max_completion_tokens: 4000 versus 900000. Do not treat a zero price as the absence of every limit.

  3. 03
    Do not fill an empty repo

    hugging_face_id is empty. The 2024 ScaleDown-7B GGUF repos are not these API ids. There is no eval score, and the shared price does not say which row answers better.

What you can check is price, context, and the completion cap. The listing shows an output price of zero. That is not output free of all limits. These rows also do not yield a latency.

After the fields match, open one shared picture in the browser via the guide.

Do the two ids share context and input price?

Yes. On the 2026-11-02 list, context_length is 1000000 on both. prompt is 0.00000004 USD per token, which is 0.04 USD per 1,000,000 tokens. completion is 0, so the listed output price is 0.00 USD per 1,000,000 tokens.

Does an output price of 0 mean output has no limits?

No. The catalog writes completion as 0, and the public page says 0 USD per million output tokens. The listing shows zero. Summarize caps max_completion_tokens at 4000; Extract caps it at 900000.

Is there an official Hugging Face repo for these models?

Not in this search. ScaleDown returned 8 repos. Exact searches for the two API ids returned 0. hugging_face_id is empty. Older ScaleDown-7B GGUF repos are unrelated.

Which date is the launch date, created or the slug suffix?

created converts to 2026-10-13 (UTC): Summarize at 12:09:20, Extract at 12:09:11. The canonical_slug suffix is 20260928. The catalog does not add a launch notice. Do not read the suffix as a ship date.

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