Gemini Decision 1 vs ScaleDown

Gemini Decision 1 60

Model reading for gemini-decision-1 on the Gemini API's Decisions endpoint. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). The pricing page lists $0.10 per million input tokens on the paid tier for every modality and no output charge, without a login (20). Free of charge on the free tier (20). A Google account and an AI Studio key come first (0). 0 + 20 + 20 + 0 = 40. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 40 is 60.

ScaleDown 0

No x402, MPP or L402 in the docs or the OpenAPI document (0). The only price on the docs host is on the OpenAI-compatibility page ('the base rate of $0.05 per 1M input tokens'). The docs repository removed that page from the navigation on 12 October 2026, before the price was added on 13 October, and neither llms.txt nor any docs page links it. An unlinked file isn't read as published, as for unlinked OpenAPI files (synthflow, jambonz), and the docs introduction says to contact sales for a key (0). The 50 million free tokens and the no-card statement came from scaledown.ai's homepage, which robots.txt now closes to us, so no free tier is established (0). A person contacts sales or signs up in a browser, and no key API was found (0). 0 + 0 + 0 + 0 = 0. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 0 is 0.

Gemini Decision 1 70

Model reading for gemini-decision-1 on the Gemini API's Decisions endpoint. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Closed service with clear terms, SDKs Apache-2.0 (15). The pricing page states that free-tier content is used to improve products and paid-tier content isn't; abuse retention has no number (15 of 30). Deprecations table; the model page names no deprecation for this model (15 of 20). Data may be cached anywhere Google has facilities; no subprocessor list checked (5 of 20). Every benchmark, latency and cost comparison is Google's own, and the post gives charts without scores in its text. 15 + 15 + 15 + 5 = 50.

ScaleDown 28

Closed hosted models. The terms, privacy notice and DPA sit on scaledown.ai, whose robots.txt now disallows Claude-Web and anthropic-ai on every path, and the 14 October readings were taken from the site's script bundle, which this run doesn't read. Both strike them, and the docs host publishes no terms (0 of 30). No data-handling or retention statement is readable (0 of 30). No deprecation policy or dated notices in the docs (0 of 20). The DPA's subprocessor list is struck with it (0 of 20). 0 + 0 + 0 + 0 = 0.

Gemini Decision 1 79

Model reading for gemini-decision-1 on the Gemini API's Decisions endpoint. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released on 11 November 2026, the day of this check (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelogs: google-genai 3.2.0's entry adds the Decisions API; the platform changelog wasn't re-read today (11 of 15). SDK replies not sampled (5 of 10). google-genai 3.2.0 tagged the same day with client.decisions.create; the JavaScript SDK is per Google's post (15). Runtimes stated on the platform (10). 30 + 4 + 4 + 11 + 5 + 15 + 10 = 79. The model is hours old, so these lines are the platform's habits more than this model's record.

ScaleDown 56

Read for a closed model, on the decision-model split used for Jev (notice 0 to 12, churn 0 to 8). The newest dated change is the docs commit of 14 October 2026 that set Extract's scalar entity cap to 30 per type, 21 days before this check (30). Pinned -1 model IDs are documented, with no deprecation policy or notice period in the docs. The terms' notice promise is struck with the rest of scaledown.ai (5 of 12). One version of each model so far, and the docs dropped the native /extract and /summarization/abstractive endpoints from the reference on 13 October 2026 (2 of 8). No public changelog. Dated commits in the docs repository and a Discord bot repository, and issue replies weren't sampled. The earlier partial is kept (6 of 15). No SDK of ScaleDown's own. langchain-scaledown 0.2.0 (MIT, 12 October 2026) from the scaledown-team organisation is still the newest version in its repository, and OpenAI SDK compatibility covers other languages (8 of 15). langchain-scaledown ships GitHub workflows with unit and integration tests (5 of 10). 30 + 5 + 2 + 6 + 8 + 5 = 56.

Gemini Decision 1 40

Model reading for gemini-decision-1 on the Gemini API's Decisions endpoint. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published for the platform, but the public rate-limit page, read on 11 November, has no row for Decision 1 and sends you to AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). The guide and the model page, read on 11 November, state no launch stage; the endpoint is v1beta and the model has one version, so half, as Gemini 4 Carbon was read (5 of 10). 10 + 5 + 5 + 15 + 0 + 5 = 40.

ScaleDown 20

Read as a hosted model API. No status page found. status.scaledown.ai and status.scaledown.xyz didn't resolve per the 14 October check, and the docs link none (0). No readable incident history (5). The docs, re-read on 4 November, publish no rate limit with numbers (0). Only the Compress reference lists 429, with 'Back off and retry'. Classify and Decisions list 422, 402, 502 and 504 without retry guidance. A call has no side effects, so a retry is safe, and the earlier partial is kept (5 of 15). No SLA found in the docs (0). The models carry no beta or preview label in the docs (10). 0 + 5 + 0 + 5 + 0 + 10 = 20.

Gemini Decision 1 45

Model reading for gemini-decision-1 on the Gemini API's Decisions endpoint. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). The pricing page, read on 11 November, says free-tier content is used to improve Google's products and paid-tier content isn't (10 of 20, the platform's reading). Abuse retention with no number (5 of 15). Request logs for billed projects are described for Generate Content; the Decisions guide says nothing on logging (10 of 15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 10 + 5 + 10 + 5 = 45.

ScaleDown 27

Read for a model API, on the lines used for Jev. A plain API key in x-api-key, or as a bearer token on chat completions. The docs document no scopes, expiry or rotation, and revocation wasn't checked, since the dashboard is disallowed in robots.txt and we made no account (18 of 30). scaledown.ai's robots.txt, read on 4 November, disallows Claude-Web and anthropic-ai on every path, so the 14 October readings of the terms, DPA, privacy notice, site FAQ and site llms.txt are struck. The docs say nothing on training or retention (0 of 20). Classify and Extract judge text that often comes from users. The docs carry no warning or mitigation for injected instructions (3 of 15). Each Decisions response reports tokens and cost, and the earlier partial is kept (6 of 15). The security.txt, certification and breach-notice readings came from scaledown.ai and are struck. docs.scaledown.ai had no security.txt per the 14 October check, and no disclosure route was found in the docs (0 of 20). 18 + 0 + 3 + 6 + 0 = 27.

Gemini Decision 1 80

Model reading for gemini-decision-1 on the Gemini API's Decisions endpoint. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No published machine-readable contract for the Decisions endpoint; the request and response types are generated and typed in google-genai 3.2.0, Apache-2.0 (10 of 25). llms.txt with Markdown twins on the platform (10). The guide and model page say what the endpoint is for and list what it doesn't do (no caching, Batch, Flex, Priority, function calling, structured outputs or text generation; no YouTube or gs:// sources; history only as text) (18 of 20). Fields carry stated rules: question keys match [A-Za-z0-9_-]+ up to 64 characters, 1 to 1,000 questions, 2 to 255 options or levels, option keys 1 to 128 characters, P(true) between 0.01 and 0.99, nesting to 100 levels (14 of 15). Python, JavaScript and REST examples, and errors documented as HTTP 400 with codes safety, prohibited_content, blocklist, image_safety and content_blocked (13 of 15). Dated SDK changelog and the platform's dated changelog (15). 10 + 10 + 18 + 14 + 13 + 15 = 80.

ScaleDown 69

An OpenAPI 3.1 document (ScaleDown API 1.0.0), linked from the docs' llms.txt under OpenAPI Specs, covers /compress/raw/, /classify and /v1/scaledown. Its /classify schema has only text and labels, without chunks, document, multi_label or the label caps, and Extract and Summarize on /v1/chat/completions aren't in it (15 of 25). llms.txt indexes 28 pages, each with a Markdown twin (10). Overviews say when to use each model and how to write rubrics, and a table says when to choose /classify over Decisions. No known-limitations page (14 of 20). Typed question kinds behind a type field, with 20 labels, 16 in multi-label mode, 50 chunks and 2 to 10 score levels stated in prose, and Extract driven by a JSON schema with $ref refused (11 of 15). curl, Python and TypeScript examples with sample responses, and an error table per endpoint (422, 402, 502, 504 and others), though 429 appears only for Compress and no error body is shown (12 of 15). Pinned model IDs (classify-1, extract-1, summarize-1). No public changelog, but the docs source on GitHub has dated commits, the newest on 14 October 2026 (7 of 15). 15 + 10 + 14 + 11 + 12 + 7 = 69.