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Head to head · Inference decision · October 2026 research run

Decider vs Liquid d1

Decider scores 69.5 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on transparency & trust. Both do inference decision.

DeciderMark Marosi (Mapika) · Model API B69.5/100#172 of 841 Liquid d1Liquid AI · Model API E43.5/100#783 of 841

Which one, for what

Decider B

Good for Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.

Ahead on

  • Reliability, 90 against 21
  • Schema & documentation, 78 against 59
  • Agent ergonomics, 80 against 63
  • Payments & pricing, 60 against 27
  • Maintenance & community, 87 against 60

Also in its favour

  • No key needed to call it
  • Open source

Watch for

The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1

Liquid d1 E

Good for Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.

Ahead on

  • Transparency & trust, 54 against 46

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, with no opt-out or zero-retention option found

Score by category

CategoryWeight this runDeciderLiquid d1Edge
Reliability16%209021Decider +69
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27859Decider +19
Agent ergonomics13%16.28063Decider +17
Security & auth14%17.53835Decider +3
Payments & pricing10%12.56027Decider +33
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88760Decider +27
Transparency & trust7%8.84654Liquid d1 +8
Negative events≤1500
Total69.5 · B43.5 · E

Facts side by side

FactDeciderLiquid d1
KindModel APIModel API
VendorMark Marosi (Mapika)Liquid AI
Hosted endpointno (local only)https://api.liquid.ai/decisions/v1/systemone
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreeFreemium
x402nono
LicenceApache-2.0 (code and weights)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 documentednono
llms.txtnoyes
Last release2026-10-072026-10-07
Terms last updatedno document linked2026-09-30
Privacy policy last updatedno document linked2026-09-30
Customer content may train modelsyes
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity1.1k stars, 2.7k PyPI/wknone

Verdicts

Decider

An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.

Liquid d1

The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.

Before you call either

Decider

  1. Pin weights by Hub tag (v10, v2) when results must repeat. The main branch of each model repository changes with new versions
  2. Read x_p_max for the top probability. Since 1.3.0 confidence on choice and score answers follows TypeSafe's rescaled definition, not the top probability
  3. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option
  4. Count state tokens before sending. Over 32,768 the state is cut silently, and /decide caps context at 1,536 tokens
  5. Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail

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 for images. d1:free is text-only and answers that it does not accept images
  3. Send images as Base64 data URLs in images, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused
  4. Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again
  5. Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data

Questions

Which is better for AI agents, Decider or Liquid d1?

Decider scores 69.5 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in 6 of 7 scored categories. Liquid d1 leads on transparency & trust.

Do Decider and Liquid d1 need an API key?

Decider needs no key. Liquid d1 needs an API key.

Can an agent call Decider and Liquid d1 without installing anything?

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

Are Decider and Liquid d1 open source?

Decider is open source (Apache-2.0 (code and weights)). No open-source release is listed for Liquid d1.

Other comparisons with Decider or Liquid d1

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