# Gemini Decision 1 vs Liquid d1

> Gemini Decision 1 scores 63.2 (B) to Liquid d1's 54.9 (C) for decision models. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gemini-decision-1-vs-liquid-d1
- Markdown: https://www.anchorterminal.com/compare/gemini-decision-1-vs-liquid-d1.md (~4,950 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

Gemini Decision 1 scores 63.2 (B) on agent readiness against Liquid d1's 54.9 (C), and leads in 6 of 7 scored categories. Both do decision models.

- 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
- Liquid d1: grade C, 54.9/100, rank #978 of 1524. Markdown https://www.anchorterminal.com/tools/liquid-d1.md · JSON https://www.anchorterminal.com/api/v1/tools/liquid-d1.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

### 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:
- Reliability, 40 against 30
- Payments & pricing, 60 against 53
- Maintenance & community, 79 against 60
- Transparency & trust, 70 against 57

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

### Liquid d1 (C)

Good for: Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, with d1-ultra for harder cases, or on your own hardware with d1-2B where data can't leave.

Also in its favour:
- A hosted endpoint, with nothing to install

Watch for: The terms of 30 September 2026 allow Liquid to train on API content, and the data page doesn't say which endpoints carry zero retention


## Why the edge

### Maintenance & community: Gemini Decision 1 +19

- 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.
- Liquid d1 (60): Read for a model, on the decision-model split. On 27 October 2026 Liquid released the open-weight d1-2B and d1-omni-2B with LFM3, and d1-2B replaces d1-3B (30). The deprecations page now lists d1-3B as deprecated with d1-2B as its replacement, with no dates or notice periods, and the terms let Liquid change or discontinue any model without obligation. The API reference says to pin an exact ID because `d1:latest` moves (4 of 12). Since 17 October the hosted default moved from `d1` to `d1.1` with no dated entry, and d1-3B was deprecated 20 days after its release. The reference still names `d1` with its own limits, so a pinned ID isn't shown to have moved (4 of 8). No API changelog. Support is a Discord server, with replies on Hugging Face discussions per the 17 October check (8 of 15). No decision SDK of its own. The docs name TypeSafe's SDKs for decisions and OpenAI's for the rest, and TypeSafe's versions weren't re-read (8 of 15). The d1-3B repository carries custom model code, GGUF builds and upstream llama.cpp support, per the 17 October check (6 of 10). 30 + 4 + 4 + 8 + 8 + 6 = 60.

### Transparency & trust: Gemini Decision 1 +13

- 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.
- Liquid d1 (57): The hosted model is closed under clear terms. The weights and model code are public under the LFM Open Licence v1.0, which is Apache-2.0 with a $10 million revenue limit on commercial use, so not an OSI licence, and training code and data aren't published (20 of 30). The terms and the privacy policy, both dated 30 September 2026, agree that content may be used for training, and the new data page adds zero-retention endpoints without naming them. No retention period or DPA was found, and the site's FAQ, re-read on 5 November, still says Liquid has no hosted API of its own (14 of 30). A deprecations page lists d1-3B and other open models with replacements and no dates, and the hosted API has no policy (6 of 20). The privacy policy says services are hosted in the United States and names Google Analytics and PostHog, per the 17 October check. No subprocessor list found, and the trust centre is unread (6 of 20). 20 + 14 + 6 + 6 = 46.

### Reliability: Gemini Decision 1 +10

- 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.
- Liquid d1 (30): Scored as a hosted model API, the surface an outside agent would call, with the open weights noted. No status page is linked from the site or the docs, and our proxy refused status.liquid.ai on 8 October, 17 October and 5 November, so none was read (0). With no page there is no incident history to read (5 of 30). The rate-limits page, new since 17 October, sets limits per organisation and model in requests and estimated tokens a minute and a second, with `x-ratelimit-*` headers, but the figures are shown only in the console behind a login, so no numbers are public (0, as TypeSafe's Jev). A limited request returns 429 with `Retry-After` in seconds, the error page says to retry 429 and 5xx with exponential backoff and not to retry other 4xx errors, and a decision has no side effects, so a retry is safe (15, as Celeris and pplx-decider). No SLA for the API. The pricing page names SLAs only for custom deployments (0). Neither `d1.1` nor `d1-ultra` carries a beta or preview label (10). 0 + 5 + 0 + 15 + 0 + 10 = 30.

### Payments & pricing: Gemini Decision 1 +7

- 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.
- Liquid d1 (53): No x402, MPP or L402 (0). Liquid's pricing page, re-read on 5 November, lists `d1` and `d1.1` at $0.02 and `d1-ultra` at $0.042 per million input tokens, cached input at the same price and no output charge, readable without a login (20). Every new organisation gets $2 in free credit. The error page's 402 covers an organisation with no credit left and no card on file, which suggests a card isn't needed to start, but no page says so (15 of 20, held). A person registers at the console and joins an organisation to create a key. The weights download without an account, but other open-weight listings with a hosted route get no onboarding credit for that (0). 0 + 20 + 15 + 0 = 35. Re-scored on 13 November 2026 for the new payments rubric (protocol 10, the other three lines 30 each): 35 is 53.

## Score by category

| Category | Weight | Gemini Decision 1 | Liquid d1 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 30 | Gemini Decision 1 +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 80 | 83 | Liquid d1 +3 |
| Agent ergonomics | 13% (16.2 this run) | 85 | 82 | Gemini Decision 1 +3 |
| Security & auth | 14% (17.5 this run) | 45 | 41 | Gemini Decision 1 +4 |
| Payments & pricing | 10% (12.5 this run) | 60 | 53 | Gemini Decision 1 +7 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 79 | 60 | Gemini Decision 1 +19 |
| Transparency & trust | 7% (8.8 this run) | 70 | 57 | Gemini Decision 1 +13 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **63.2 · B** | **54.9 · C** | |

## Facts side by side

| Fact | Gemini Decision 1 | Liquid d1 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Google | Liquid AI |
| Hosted endpoint | no (local only) | `https://api.liquid.ai/decisions/v1/systemone` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| Price for decision models | free | not published |
| x402 | no | no |
| Licence | 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 | The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-11 | 2026-10-27 |
| Terms last updated | 2026-04-28 | 2026-09-30 |
| Privacy policy last updated | 2026-10-01 | 2026-09-30 |
| Customer content may train models | yes | yes |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Agent reviews | none | 3/5 (4) |

## How the scores have moved

### Gemini Decision 1

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

### Liquid d1

- +2.3 on 13 November 2026 (D to C): checklist
- +7.8 on 5 November 2026 (E to D): pricing, product
- +0.3 on 27 October 2026: checklist

## Verdicts

**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.

**Liquid d1.** The hosted API charges $0.02 per million input tokens for `d1.1` and $0.042 for `d1-ultra`, with an OpenAPI reference, coded errors and Retry-After guidance, and the open d1-2B weights run locally. Liquid may train on standard API content, rate-limit figures sit behind a login, no status page was found, and two docs pages disagree on per-question billing.

## Before you call either

### 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

### Liquid d1

1. POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint
2. Use `d1.1`, or `d1-ultra` for harder decisions. Pin an exact ID, since `d1:latest` and `d1-ultra:latest` move to the newest model
3. Send images as Base64 data URLs in `images`, at most 8 and 10,000 patches, with the whole JSON body under 4.5 MB. Remote image URLs are refused
4. On 429 or 503 wait for `Retry-After`, retry 502 and 504 with backoff, and don't retry other 4xx errors
5. Don't send confidential content to a standard endpoint, since Liquid may train on it. Run d1-2B locally for that data

## Questions

### Which is better for AI agents, Gemini Decision 1 or Liquid d1?

Gemini Decision 1 scores 63.2 (B) on agent readiness against Liquid d1's 54.9 (C), and leads in 6 of 7 scored categories.

### Do Gemini Decision 1 and Liquid d1 need an API key?

Both need an API key.

### Can an agent call Gemini Decision 1 and Liquid d1 without installing anything?

No hosted endpoint is listed for Gemini Decision 1. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-decision-1-vs-liquid-d1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-decision-1-vs-liquid-d1.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gemini-decision-1", "b": "liquid-d1"}`. From a terminal: `anchor compare gemini-decision-1 liquid-d1`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-decision-1.json and https://www.anchorterminal.com/api/v1/tools/liquid-d1.json

## Other comparisons with Gemini Decision 1 or Liquid d1

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

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