Decider vs Gemini Decision 1

Decider 90

Scored on the local-package checklist, since Decider is open weights the owner runs, as for Kev and Strands Decider. pip install decider-ai, at 1.10.0 of 20 October 2026 by the repository tag and pyproject, with Python 3.11 or later stated and extras for serving, GGUF and Apple silicon (20). Public CI on GitHub Actions runs the test files in two jobs, without torch and with CPU torch, and the five latest runs on main had passed on 8 October, per the 8 October check, not re-read on 1 November. No test loads model weights, and the 1.10.0 changelog reports 310 passing (22 of 25). 3 of 16 issues were open on 8 October, a feature request, a Windows on ARM report with fixes shipped in 1.7.1, and one unsolicited promotion, and reported crashes (#5, #8, #21) were fixed in a release within days, per the 8 October check, not re-read on 1 November (23 of 25). docs/CHANGELOG.md has a dated entry for every release and the tags run to v1.10.0. The 1.3.0 minor release changed what confidence means, called out with a migration note, and 1.10.0 adds image input behind a flag (12 of 15). 1.10.0, though 1.0.0 is from 22 September 2026 and 22 releases came in 29 days (13 of 15). 20+22+23+12+13 = 90.

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.

Decider 90

Free Apache-2.0 software with nothing to buy, so 20 + 20 + 20 for pricing, free use and no sign-up, by the self-hosted rule. No payment protocol (0). No hosted API was found, so there's no hosted option to grade. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 60 is 90.

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.

Decider 52

Apache-2.0 for the code and model repositories, with the training code, data builders, teacher data and per-stage measurements published. The RL stage and the mixture-v2 builders aren't in the package, and the README says reproduction isn't byte-identical (28 of 30). Self-hosted, so inputs stay on the operator's hardware by construction, but we found no statement saying so. Training draws on about 95 public datasets whose licences we didn't review (15 of 30). The 1.0.x server was kept for one release as decider.serve_v1 with notice in the changelog, and earlier weights stay under Hub tags. No deprecation policy (11 of 20). No telemetry code found in the package and no statement either way. Weights download through the Hugging Face Hub client (10 of 20).

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.

Decider 38

Read as software you run. No account. The server has no authentication option, binds to 127.0.0.1 since 1.7.1 and the script comment says so (8 of 30). A decision model has no write actions, so there's nothing to approve (15 of 20). Nothing documents how hostile text or, since 1.10.0, an image in the state can move an answer. The README says rules written into a question aren't followed at this size (5 of 15). /stats counts requests, errors and rejections, and each response carries token usage. No request log (5 of 15). No SECURITY.md, disclosure policy or advisories found. Weights ship as safetensors, PyPI uploads use trusted publishing with no token in the repository, and workflow actions are pinned by tag, not commit (5 of 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.

Decider 80

Read as an API an agent calls for a decision, as for the other decision models. Answers are a probability per option, and a long state is read once with each question scored from the shared prefix. Context is 32k tokens, and a state over 32,768 tokens is truncated without an error (19 of 25). The caller sets the questions, any number a request up to 1,024 rows, with independent and a plain /decide form. No batch-of-states route (17 of 20). 422, 413 and 503 return a message that names the limit and its variable, documented in docs/SERVING.md (17 of 20). Calls are stateless and safe to retry, and the 503 body says to retry later. No Retry-After header (16 of 20). One pip install and a Python class with a default device order. The README says TypeSafe's SDKs work unchanged. Python only, and scripts/serve.sh comes from a clone (11 of 15).

Gemini Decision 1 85

Read on the tool lines, as the other decision-model listings are. 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. Answers are probabilities only, and the shared input is billed once across up to 1,000 questions (25 of 25). Limits are written down: 262,144 tokens shared by the input and all questions, 1,000 questions, 2 to 255 options, inline data to 100 MB (50 MB for PDFs), 15 MB per external URL (20 of 20). Errors return HTTP 400 with a named code an agent can branch on, plus the platform's backoff advice (15 of 20). SDK retries and backoff guidance, no idempotency key; nothing is written, so a repeat only costs input again (10 of 20). Three required fields, SDK 3.2 or later in Python and JavaScript, and REST (15 of 15). 25 + 20 + 15 + 10 + 15 = 85.