Head to head · Decision models · October 2026 research run
Gemini Decision 1 vs 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. Both do decision models.
Best decision models for AI agents · All 241 decisions comparisons
Which one, for what
Best 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
Best 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
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
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 this run | Gemini Decision 1 | Liquid d1 | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 40 | 30 | Gemini Decision 1 +10 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 80 | 83 | Liquid d1 +3 |
| Agent ergonomics | 13%16.2 | 85 | 82 | Gemini Decision 1 +3 |
| Security & auth | 14%17.5 | 45 | 41 | Gemini Decision 1 +4 |
| Payments & pricing | 10%12.5 | 60 | 53 | Gemini Decision 1 +7 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 79 | 60 | Gemini Decision 1 +19 |
| Transparency & trust | 7%8.8 | 70 | 57 | Gemini Decision 1 +13 |
| Negative events | ≤15 | 0 | -2 | |
| Total | B 63.2/100 | C 54.9/100 |
Facts side by side
| Fact | Gemini Decision 1 | Liquid d1 |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | 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
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
- Call POST /v1beta/decisions or
client.decisions.create(SDK 3.2 or later), not generateContent or the Interactions API - Put every question about the same input in one request: there's no caching, and repeated input is billed in full
- 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
- Branch on the HTTP 400 error code (safety, prohibited_content, blocklist, image_safety, content_blocked) before retrying
- Keep question keys to [A-Za-z0-9_-] and 64 characters, and options or levels between 2 and 255
Liquid d1
- POST to https://api.liquid.ai/decisions/v1/systemone with a
liquid_key as a Bearer header. This is not a chat-completions endpoint - Use
d1.1, ord1-ultrafor harder decisions. Pin an exact ID, sinced1:latestandd1-ultra:latestmove to the newest model - 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 - On 429 or 503 wait for
Retry-After, retry 502 and 504 with backoff, and don't retry other 4xx errors - 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.
Other comparisons with Gemini Decision 1 or Liquid d1
- Celeris-1 Decision vs Gemini Decision 1
- Celeris-1 Decision vs Liquid d1
- Clef vs Gemini Decision 1
- Clef vs Liquid d1
- Laya vs Gemini Decision 1
- Laya vs Liquid d1
- Decider vs Gemini Decision 1
- Decider vs Liquid d1
- Decision 3.0 vs Gemini Decision 1
- Decision 3.0 vs Liquid d1
- Gemini Decision 1 vs GLiClass
- Gemini Decision 1 vs Granite Switch 4.1
- Gemini Decision 1 vs Kev
- Gemini Decision 1 vs Microsoft-Decision-1
- Gemini Decision 1 vs Drex 1.5
- Gemini Decision 1 vs OpenAI Decisions API
- Gemini Decision 1 vs pplx-decider
- Gemini Decision 1 vs pplx-decider-flash
- Gemini Decision 1 vs RightNow System Zero
- Gemini Decision 1 vs ScaleDown
- Gemini Decision 1 vs SPEV
- Gemini Decision 1 vs kettei
- Gemini Decision 1 vs Strands Decider 2B
- Gemini Decision 1 vs Jev
- Gemini Decision 1 vs Vela 2.0
- GLiClass vs Liquid d1
- Granite Switch 4.1 vs Liquid d1
- Kev vs Liquid d1
- Liquid d1 vs Microsoft-Decision-1
- Liquid d1 vs Drex 1.5
- Liquid d1 vs OpenAI Decisions API
- Liquid d1 vs pplx-decider
- Liquid d1 vs pplx-decider-flash
- Liquid d1 vs RightNow System Zero
- Liquid d1 vs ScaleDown
- Liquid d1 vs SPEV
- Liquid d1 vs kettei
- Liquid d1 vs Strands Decider 2B
- Liquid d1 vs Jev
- Liquid d1 vs Vela 2.0
Machine-readable
- This page as Markdown
/compare/gemini-decision-1-vs-liquid-d1.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/gemini-decision-1.json·/api/v1/tools/liquid-d1.json - From a terminal
anchor compare gemini-decision-1 liquid-d1(the CLI) - Over MCP
compare_tools {"a": "gemini-decision-1", "b": "liquid-d1"}at/mcp, no key