Gemini Decision 1 vs Strands Decider 2B

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.

Strands Decider 2B 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, on Amazon Bedrock or elsewhere, 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 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.

Strands Decider 2B 69

Read as an API an agent calls for a decision, as for the other decision models. Answers are a probability per option, and the state is read once with each extra question adding only its own tokens. The window is 4,096 tokens, and by default an over-long state is cut to fit without an error (15 of 25). The caller sets the questions, any number a request, with --max-batch (default 32) setting how many go in one forward pass. No batch-of-states route (15 of 20). Validation and engine errors return 422 with the message, and --strict-window names the window. Not documented as a table (13 of 20). Calls are stateless and safe to retry. No retry guidance, and the server runs one worker with no rate limiting (15 of 20). One pip install with a CLI and a Python class, and strands-decider-latest as the default model. Python only, and the code says Jev compatibility isn't verified (11 of 15).

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.

Strands Decider 2B 68

Read as a model, on the lines used for the other decision models listed as models (Decider, Kev, Vela 2.0, Decision 3.0), for deprecation notice and model churn in place of the release count. The repository's CHANGELOG.md dates five v1 models on 9 October 2026, strands-decider-2B-qwen3.5-v1-2610 (the README's reference model since) and four on Gemma 4 (E2B, E4B, 12B and 26B-A4B), announced on the Strands Agents blog on 15 October, and the package is tagged v0.2.0 on 19 October. 24 days on 2 November (30). No deprecation policy or notice period. hobson-v19 and hobson-v21 stay published under their names, docs/naming.md says a second release in one month updates the same repository with a dated YYMMDD tag to pin by, and no name was removed. Level with Decider and Kev (5 of 12). The reference model changed three times in nine days (v19 on 1 October, v21 on 5 October, v1 on 9 October), with none since and earlier names still loading, level with Decider's and Decision 3.0's 4 (4 of 8). 28 commits from four authors since 5 October, pull requests numbered to #110, a Discord channel, and issue reply times and Hugging Face discussions unread (12 of 25, unchecked). A Python package and CLI from the vendor, a SageMaker deploy guide and a Strands agent example. The README says Gemma 4 support and the MLX extra aren't in the PyPI package yet. Not an MCP server (10 of 15). CI with pinned actions, a macOS job and a weekly dependency audit, pass state unchecked (7 of 10). 30 + 5 + 4 + 12 + 10 + 7 = 68.

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.

Strands Decider 2B 50

Scored on the local-package checklist, since Strands Decider is open weights the owner runs, as for Kev, Laya, Decider and Vela 2.0. pip install strands-decider, with Python 3.10 or later stated and CUDA, MPS, MLX and CPU extras. The release workflow publishes to PyPI with trusted publishing. The 5 October reading of PyPI's JSON path is struck (robots.txt disallows it), and pypi.org didn't resolve on 2 November, so no release on PyPI was read. The repository is tagged v0.1.0 (9 October) and v0.2.0 (19 October 2026), and the README says Gemma 4 support and the MLX extra aren't in the PyPI package yet (20). 40 test files (19 in tests/, 21 in training/tests/) run on GitHub Actions on Python 3.10 with the floor pins and 3.12 with the newest, with a macOS job for MPS and MLX added on 13 October, but GitHub's pages answer 403 for our reader, so whether main passes is unread (15 of 25). Open crash and regression issues couldn't be read for the same reason. Pull requests are numbered to #110 by 30 October (10 of 25, unchecked). CHANGELOG.md now lists dated model releases and the naming rule, but no package versions, and the removal of the training commands from the CLI (#73, in v0.2.0) has no changelog line. Commit titles follow a conventional format checked in CI (5 of 15). 0.x, and the package calls itself experimental (0). 20 + 15 + 10 + 5 + 0 = 50.

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.

Strands Decider 2B 62

Apache-2.0 for the code and checkpoints, on an Apache-2.0 base, with the training recipe, data inventory, configs, data hashes and evaluation logs published (30). Self-hosted, so inputs stay on the operator's hardware by construction, but we found no statement saying so. The licence notes list training sources whose Hub licence tags include other, unknown and none (15 of 30). v19 and v21 stay published after v1 replaced them as the reference on 9 October, and docs/naming.md says earlier releases keep their names. No deprecation policy or notice period (8 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).