# Decision 3.0 vs Gemini Decision 1

> Decision 3.0 scores 66.7 (B) to Gemini Decision 1's 63.2 (B) for decision models. Gemini Decision 1 is cheaper for decision models, $0 against $0 per 1M tokens. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/decision-3-vs-gemini-decision-1
- Markdown: https://www.anchorterminal.com/compare/decision-3-vs-gemini-decision-1.md (~6,500 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-13

Decision 3.0 scores 66.7 (B) on agent readiness against Gemini Decision 1's 63.2 (B), and leads in 3 of 7 scored categories. Gemini Decision 1 leads on schema & documentation, agent ergonomics, maintenance & community and transparency & trust. Both do decision models. Gemini Decision 1 is cheaper for decision models, $0 against $0 per 1M tokens.

- Decision 3.0: grade B, 66.7/100, rank #460 of 1524. Markdown https://www.anchorterminal.com/tools/decision-3.md · JSON https://www.anchorterminal.com/api/v1/tools/decision-3.json
- Gemini Decision 1: grade B, 63.2/100, rank #630 of 1524. Markdown https://www.anchorterminal.com/tools/gemini-decision-1.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-decision-1.json
- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md
- All 241 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md

## Which one, for what

### Decision 3.0 (B)

Good for: Self-hosted typed decisions over screenshots, documents and short video as well as text, where open weights matter.

Ahead on:
- Reliability, 61 against 40
- Security & auth, 53 against 45
- Payments & pricing, 90 against 60

Also in its favour:
- No key needed to call it
- Open source

Watch for: Three 27B models (d3, d3-turbo, d3-ultra) in 14 days, with no deprecation policy or notice period

### Gemini Decision 1 (B)

Good for: Routing, tool selection, policy checks and rubric grading over mixed media, where many fixed questions share one input and generated text isn't needed.

Ahead on:
- Schema & documentation, 80 against 70
- Agent ergonomics, 85 against 72
- Maintenance & community, 79 against 74
- Transparency & trust, 70 against 51

Also in its favour:
- Cheaper for decision models, $0 against $0 per 1M tokens

Watch for: No context caching, Batch API, Flex or Priority: the guide says repeated input across requests counts in full


## Why the edge

### Payments & pricing: Decision 3.0 +30

- Decision 3.0 (90): Free Apache-2.0 software with nothing to buy, so 20 + 20 + 20 for pricing, free use and no sign-up. No payment protocol (0). The authors' free API at decision.vllm-sr.ai gives the same 60 on its own lines, free with a published rate limit and daily quota per key and keys created from a terminal with a proof-of-work challenge and no account. Hardware is the owner's cost. 0 + 20 + 20 + 20 = 60. 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.

### Reliability: Decision 3.0 +21

- Decision 3.0 (61): Scored on the local-package checklist, since Decision 3.0 is a model the owner runs, as for Vela 2.0, Kev and Decider. The cards install with `pip install "transformers==5.17.0" torch ...` and load with `AutoModel.from_pretrained(..., trust_remote_code=True)`, with no Python version stated. vLLM's native support (commit 89cab55, merged 14 October) is in the v0.33.0 release, tagged on 1 November (its last commit is dated 31 October), though the cards still point to nightly builds with a Python 3.12 environment. The router's Engine mode is still on its development channel (15 of 20). The semantic-router repository runs public CI, and its model runtime has a `test_decision3_reference.py` suite and a parity record against the packages' own server, per the 12 October check. Today's CI result on main was unread, since GitHub's pages answer 403 (15 of 25). The eight Hub repositories hold 35 discussions and pull requests from 10 October to 31 October, and org members answered 9 of the 14 questions opened by others, read as counts of authors and dates. Whether any report a crash wasn't read (12 of 25). d3 is tagged v3.0.0 to v3.1.3 (11 tags), d3-mini v3.0.0 to v3.1.3, d3-turbo v1.0 and v1.1, and d3-ultra has no tag. No changelog in the model repositories (9 of 15). Released as 3.0 with no beta label, and new sizes keep arriving (10 of 15). 15 + 15 + 12 + 9 + 10 = 61.
- 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.

### Transparency & trust: Gemini Decision 1 +19

- Decision 3.0 (51): Apache-2.0 for the weights and runtime, on Apache-2.0 Qwen3.5 and Qwen3.8 bases, with a NOTICE in each repository. Unlike Vela 2.0, the cards publish no training data or training stages, and we found no training code (24 of 30). Self-hosted, so inputs stay on the owner's hardware unless the Python API is given URLs to fetch. The runtime docs say request text is never logged. There's no privacy statement for the project (20 of 30). The router's support matrix has a Deprecated class, and Decision 1.0, 2.0 and Vela stay built in. No policy with notice periods (8 of 20). We found no telemetry statement either way and didn't audit the runtime code for it. Weights download from the Hugging Face Hub (10 of 20). 24 + 20 + 8 + 10 = 62. The authors' free API has its own terms and privacy notice, dated 13 October 2026, which agree with each other.
- 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.

### Agent ergonomics: Gemini Decision 1 +13

- Decision 3.0 (72): Read as an API an agent calls for a decision, as with Vela, Decider and Kev. Answers are probabilities, no text is generated, and every question sees the same text, images and videos. Videos are capped at 16,384 tokens a request, and the package config sets no other input limit (20 of 25). The caller fixes the output with any mix of the three types, and `permutation_average` scores choice questions in both option orders. There's no threshold field and no set or span type (15 of 20). The server answers 422 with a message, or an `invalid_questions` map naming each bad question, and refuses an over-long request whole rather than truncating it. The runtime answers `{error: {code, message}}` (15 of 20). Calls are stateless and safe to retry. The bundled server takes one request at a time and has no 429 or retry guidance (13 of 20). Loading is one `AutoModel` call or a `pipeline("decision")`, with no SDK of its own. It needs a GPU for the evaluated settings, `trust_remote_code`, or the router's development channel (9 of 15). 20 + 15 + 15 + 13 + 9 = 72.
- 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.

### Schema & documentation: Gemini Decision 1 +10

- Decision 3.0 (70): Read for a model the owner serves. The router's model runtime has an OpenAPI file, contract version 2.3.0, changed on 11 October, whose decision request carries `images` and `videos` for models with those modalities. The bundled `d3_server.py` has no specification file and documents its wire format in its docstring (22 of 25). vllm-sr.ai has no llms.txt (404). The cards and the server docstring are Markdown and plain text in each repository (5 of 10). The cards state what each size is, its inputs and limits, and the authors' evaluation. They say nothing about when not to use it (13 of 20). Three question types, choice with up to 255 options, noul and score, and an `images` or `videos` list of data URLs with stated byte and pixel caps. State is free-form text or JSON (12 of 15). Three worked examples (text, an image, a video) with downloadable inputs, but no recorded outputs and no error table. The server docstring names 401, 422 and 503 (9 of 15). Hub tags and a versioned runtime contract. No changelog for the models (9 of 15). 22 + 5 + 13 + 12 + 9 + 9 = 70. d3-turbo and d3-ultra add Box and Track question types on their cards, and the free API's docs list error codes (401, 422, 429 and 503 with Retry-After); the listing is graded on the weights the owner runs, so the free API's docs aren't counted here.
- 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.

### Security & auth: Decision 3.0 +8

- Decision 3.0 (53): Read as a model, for retention, training and zero-retention options in place of read-only modes, on the lines used for Vela 2.0, Kev and the other decision models listed as models. No account for the weights. The bundled server binds to 127.0.0.1 and is open unless `DECISION_API_KEY` is set, after which it requires one bearer key, compared in constant time. The router's model runtime has no authentication. The authors' free API at decision.vllm-sr.ai issues one revocable bearer key per caller, with no scopes (13 of 30). Self-hosted, nothing reaches the authors. Their free API, launched by 15 October 2026, says requests and responses, images and videos included, "may be logged, stored and processed ... to train and evaluate models", that "No request header turns this off", and keeps them until deleted, with a call that deletes a key's data within 30 days. Below Vela's and Kev's 18, which have no authors' service that trains on calls (12 of 20). The server accepts images and videos only as base64 data URLs within byte, pixel and duration caps, so it fetches nothing. The in-process Python API does fetch http(s) URLs it is given. Nothing documents how hostile text, images or video in the input can move an answer (8 of 15). The server sets `x-request-id` and `server-timing` headers and keeps no log of calls. The runtime exposes metrics and says request text is never logged (8 of 15). SECURITY.md in the router repository takes private reports through GitHub Security Advisories. Each package ships MODEL_MANIFEST.json with SHA-256 for every file, and since 14 October the runtime checks only the files it reads. The `transformers` route runs repository code. No bug bounty and no security.txt on vllm-sr.ai or decision.vllm-sr.ai (404 on 2 November) (12 of 20). 13 + 12 + 8 + 8 + 12 = 53.
- 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.

## Score by category

| Category | Weight | Decision 3.0 | Gemini Decision 1 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 61 | 40 | Decision 3.0 +21 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 70 | 80 | Gemini Decision 1 +10 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 85 | Gemini Decision 1 +13 |
| Security & auth | 14% (17.5 this run) | 53 | 45 | Decision 3.0 +8 |
| Payments & pricing | 10% (12.5 this run) | 90 | 60 | Decision 3.0 +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 74 | 79 | Gemini Decision 1 +5 |
| Transparency & trust | 7% (8.8 this run) | 51 | 70 | Gemini Decision 1 +19 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **66.7 · B** | **63.2 · B** | |

## Facts side by side

| Fact | Decision 3.0 | Gemini Decision 1 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | vLLM Semantic Router project | Google |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Pay per use |
| Price for decision models | free | free |
| x402 | no | no |
| Licence | Apache-2.0 for the weights and the bundled runtime, built on Apache-2.0 Qwen3.5 and Qwen3.8 bases | Closed model, used through the Gemini API's Decisions endpoint under Google's terms. The google-genai SDK that calls it is Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-10-30 | 2026-11-11 |
| Terms last updated | no document linked | 2026-04-28 |
| Privacy policy last updated | no document linked | 2026-10-01 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | yes |
| Terms restrict benchmarking | not read yet | yes |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | 3.3/5 (4) | none |

## How the scores have moved

### Decision 3.0

- +3.7 on 13 November 2026: checklist
- -0.6 on 2 November 2026: product, correction
- +0.3 on 28 October 2026: new evidence

### Gemini Decision 1

- +2.5 on 13 November 2026 (C to B): checklist

## Verdicts

**Decision 3.0.** Open Apache-2.0 decision models, now eight sizes, that read images and video as well as text and answer typed questions in one call with a probability per option. vLLM 0.33.0 serves them natively. Three 27B models arrived in 14 days with no deprecation policy, loading with `transformers` needs `trust_remote_code`, and the authors' free API may train on requests.

**Gemini Decision 1.** Google's decision model scores up to 1,000 yes/no, choice and rubric questions per request over a 262,144-token multimodal input, at $0.10 per million input tokens, no output charge and a free tier. It is on a v1beta endpoint with no caching or batch discount, so repeated input is paid in full, and every speed and accuracy figure is Google's.

## Before you call either

### Decision 3.0

1. Pin a tag or commit with `revision=` when loading from the Hub. d3 had 11 tagged releases, and new 27B models keep replacing the newest
2. Send images and videos to `d3_server.py` as base64 data URLs only. The server refuses paths and http URLs with 422
3. Set `DECISION_API_KEY` before binding the bundled server beyond 127.0.0.1. It is open otherwise
4. Turn on `permutation_average=True` when routing must not depend on option order. It is off by default
5. Expect one request at a time from the bundled server. Use the router's model runtime for queued serving
6. Don't send sensitive data to decision.vllm-sr.ai. Its terms allow logging and training on requests, and only `POST /api/keys/self/forget` deletes a key's data

### Gemini Decision 1

1. Call POST /v1beta/decisions or `client.decisions.create` (SDK 3.2 or later), not generateContent or the Interactions API
2. Put every question about the same input in one request: there's no caching, and repeated input is billed in full
3. Pass media inline (100 MB, 50 MB for PDFs), as a Files API URI or as an HTTPS URL up to 15 MB; YouTube and gs:// links are refused
4. Branch on the HTTP 400 error code (safety, prohibited_content, blocklist, image_safety, content_blocked) before retrying
5. Keep question keys to [A-Za-z0-9_-] and 64 characters, and options or levels between 2 and 255

## Tutorials

- [Inspect package damage with Decision3](https://www.anchorterminal.com/tutorials/decision-3/), for Decision 3.0

## Questions

### Which is better for AI agents, Decision 3.0 or Gemini Decision 1?

Decision 3.0 scores 66.7 (B) on agent readiness against Gemini Decision 1's 63.2 (B), and leads in 3 of 7 scored categories. Gemini Decision 1 leads on schema & documentation, agent ergonomics, maintenance & community and transparency & trust.

### Which is cheaper for decision models, Decision 3.0 or Gemini Decision 1?

Decision 3.0, at free against free for Gemini Decision 1. These are the vendors' published prices for the job.

### Do Decision 3.0 and Gemini Decision 1 need an API key?

Decision 3.0 needs no key. Gemini Decision 1 needs an API key.

### Can an agent call Decision 3.0 and Gemini Decision 1 without installing anything?

No hosted endpoint is listed for Decision 3.0. No hosted endpoint is listed for Gemini Decision 1.

### Are Decision 3.0 and Gemini Decision 1 open source?

Decision 3.0 is open source (Apache-2.0 for the weights and the bundled runtime, built on Apache-2.0 Qwen3.5 and Qwen3.8 bases). No open-source release is listed for Gemini Decision 1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/decision-3-vs-gemini-decision-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decision-3-vs-gemini-decision-1.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "decision-3", "b": "gemini-decision-1"}`. From a terminal: `anchor compare decision-3 gemini-decision-1`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/decision-3.json and https://www.anchorterminal.com/api/v1/tools/gemini-decision-1.json

## Other comparisons with Decision 3.0 or Gemini Decision 1

- [Celeris-1 Decision vs Decision 3.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decision-3.md)
- [Celeris-1 Decision vs Gemini Decision 1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gemini-decision-1.md)
- [Clef vs Decision 3.0](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decision-3.md)
- [Clef vs Gemini Decision 1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gemini-decision-1.md)
- [Laya vs Decision 3.0](https://www.anchorterminal.com/compare/convai-laya-vs-decision-3.md)
- [Laya vs Gemini Decision 1](https://www.anchorterminal.com/compare/convai-laya-vs-gemini-decision-1.md)
- [Decider vs Decision 3.0](https://www.anchorterminal.com/compare/decider-vs-decision-3.md)
- [Decider vs Gemini Decision 1](https://www.anchorterminal.com/compare/decider-vs-gemini-decision-1.md)
- [Decision 3.0 vs GLiClass](https://www.anchorterminal.com/compare/decision-3-vs-gliclass.md)
- [Decision 3.0 vs Granite Switch 4.1](https://www.anchorterminal.com/compare/decision-3-vs-granite-switch.md)
- [Decision 3.0 vs Kev](https://www.anchorterminal.com/compare/decision-3-vs-jaredpalmer-kev.md)
- [Decision 3.0 vs Liquid d1](https://www.anchorterminal.com/compare/decision-3-vs-liquid-d1.md)
- [Decision 3.0 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/decision-3-vs-microsoft-decision-1.md)
- [Decision 3.0 vs Drex 1.5](https://www.anchorterminal.com/compare/decision-3-vs-nace-drex.md)
- [Decision 3.0 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/decision-3-vs-openai-decisions-api.md)
- [Decision 3.0 vs pplx-decider](https://www.anchorterminal.com/compare/decision-3-vs-pplx-decider.md)
- [Decision 3.0 vs pplx-decider-flash](https://www.anchorterminal.com/compare/decision-3-vs-pplx-decider-flash.md)
- [Decision 3.0 vs RightNow System Zero](https://www.anchorterminal.com/compare/decision-3-vs-rightnow-system-zero.md)
- [Decision 3.0 vs ScaleDown](https://www.anchorterminal.com/compare/decision-3-vs-scaledown.md)
- [Decision 3.0 vs SPEV](https://www.anchorterminal.com/compare/decision-3-vs-sprag-spev.md)
- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)
- [Decision 3.0 vs Strands Decider 2B](https://www.anchorterminal.com/compare/decision-3-vs-strands-decider.md)
- [Decision 3.0 vs Jev](https://www.anchorterminal.com/compare/decision-3-vs-typesafe-jev.md)
- [Decision 3.0 vs Vela 2.0](https://www.anchorterminal.com/compare/decision-3-vs-vela.md)
- [Gemini Decision 1 vs GLiClass](https://www.anchorterminal.com/compare/gemini-decision-1-vs-gliclass.md)
- [Gemini Decision 1 vs Granite Switch 4.1](https://www.anchorterminal.com/compare/gemini-decision-1-vs-granite-switch.md)
- [Gemini Decision 1 vs Kev](https://www.anchorterminal.com/compare/gemini-decision-1-vs-jaredpalmer-kev.md)
- [Gemini Decision 1 vs Liquid d1](https://www.anchorterminal.com/compare/gemini-decision-1-vs-liquid-d1.md)
- [Gemini Decision 1 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/gemini-decision-1-vs-microsoft-decision-1.md)
- [Gemini Decision 1 vs Drex 1.5](https://www.anchorterminal.com/compare/gemini-decision-1-vs-nace-drex.md)
- [Gemini Decision 1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/gemini-decision-1-vs-openai-decisions-api.md)
- [Gemini Decision 1 vs pplx-decider](https://www.anchorterminal.com/compare/gemini-decision-1-vs-pplx-decider.md)
- [Gemini Decision 1 vs pplx-decider-flash](https://www.anchorterminal.com/compare/gemini-decision-1-vs-pplx-decider-flash.md)
- [Gemini Decision 1 vs RightNow System Zero](https://www.anchorterminal.com/compare/gemini-decision-1-vs-rightnow-system-zero.md)
- [Gemini Decision 1 vs ScaleDown](https://www.anchorterminal.com/compare/gemini-decision-1-vs-scaledown.md)
- [Gemini Decision 1 vs SPEV](https://www.anchorterminal.com/compare/gemini-decision-1-vs-sprag-spev.md)
- [Gemini Decision 1 vs kettei](https://www.anchorterminal.com/compare/gemini-decision-1-vs-sqwish-kettei.md)
- [Gemini Decision 1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/gemini-decision-1-vs-strands-decider.md)
- [Gemini Decision 1 vs Jev](https://www.anchorterminal.com/compare/gemini-decision-1-vs-typesafe-jev.md)
- [Gemini Decision 1 vs Vela 2.0](https://www.anchorterminal.com/compare/gemini-decision-1-vs-vela.md)

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Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp