Head to head · Decision models · October 2026 research run

Decider vs Drex 1.5

Drex 1.5 and Decider score within a point of each other on agent readiness, 69.7 (B) and 69.5 (B). Decider leads on reliability, payments & pricing and maintenance & community. Both do decision models.

Best decision models for AI agents · All 91 decisions comparisons

Which one, for what

Decider B

Best 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 80
  • Payments & pricing, 60 against 40
  • Maintenance & community, 87 against 65

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

Drex 1.5 B

Best for Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.

Ahead on

  • Schema & documentation, 88 against 78
  • Agent ergonomics, 85 against 80
  • Security & auth, 65 against 38
  • Transparency & trust, 63 against 46

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1.

Score by category

CategoryWeight this runDeciderDrex 1.5Edge
Reliability16%209080Decider +10
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27888Drex 1.5 +10
Agent ergonomics13%16.28085Drex 1.5 +5
Security & auth14%17.53865Drex 1.5 +27
Payments & pricing10%12.56040Decider +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88765Decider +22
Transparency & trust7%8.84663Drex 1.5 +17
Negative events≤150-2
TotalB 69.5/100B 69.7/100

Facts side by side

FactDeciderDrex 1.5
KindModel APIModel API
VendorMark Marosi (Mapika)Nace AI, Inc. (Nace.AI)
Hosted endpointno (local only)https://console.nace.ai/v1/systemone
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreeFreemium
x402nono
LicenceApache-2.0 (code and weights)Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT.
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-072026-09-28
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity1.1k stars, 2.7k PyPI/wk318 npm/wk, 156 PyPI/wk

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.

Drex 1.5

The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding.

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

Drex 1.5

  1. Call https://console.nace.ai/v1/systemone with Authorization: Bearer nace_sk_..., and pin model drex-v1.5 rather than drex-latest in production.
  2. Stop on 402 insufficient_credit or 402 payment_required until credit is topped up or the unpaid invoice is paid.
  3. Retry 429 and 529 after retry-after-ms. On a 422 for an unknown model, use one of the ids the error message lists.
  4. Keep state below 131,072 tokens and the body below 1,048,576 bytes, and send at most 512 questions per request.
  5. Keep the key on a server. A key in browser code is exposed, and the /v1 routes send no Access-Control-Allow-Origin header.
  6. Check usage.input_tokens and the usage CSV after retries, since /v1/systemone documents no idempotency key.

Questions

Which is better for AI agents, Decider or Drex 1.5?

Drex 1.5 and Decider score within a point of each other on agent readiness, 69.7 (B) and 69.5 (B). Decider leads on reliability, payments & pricing and maintenance & community.

Do Decider and Drex 1.5 need an API key?

Decider needs no key. Drex 1.5 needs an API key.

Can an agent call Decider and Drex 1.5 without installing anything?

No hosted endpoint is listed for Decider. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone.

Are Decider and Drex 1.5 open source?

Decider is open source (Apache-2.0 (code and weights)). No open-source release is listed for Drex 1.5.

Other comparisons with Decider or Drex 1.5

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.