Head to head · Decision models · October 2026 research run

Drex 1.5 vs kettei

Drex 1.5 scores 69.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 5 of 7 scored categories. Both do decision models.

Best decision models for AI agents · All 190 decisions comparisons

Which one, for what

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

  • Reliability, 80 against 30
  • Payments & pricing, 40 against 35
  • Maintenance & community, 65 against 57
  • Transparency & trust, 61 against 51

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.

kettei C

Best for High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

Launched on 14 October 2026, with no status page, no changelog and no SLA

Score by category

CategoryWeight this runDrex 1.5ketteiEdge
Reliability16%208030Drex 1.5 +50
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28887Drex 1.5 +1
Agent ergonomics13%16.28589kettei +4
Security & auth14%17.56568kettei +3
Payments & pricing10%12.54035Drex 1.5 +5
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86557Drex 1.5 +8
Transparency & trust7%8.86151Drex 1.5 +10
Negative events≤15-2-2
TotalB 69.5/100C 58.3/100

Facts side by side

FactDrex 1.5kettei
KindModel APIModel API
VendorNace AI, Inc. (Nace.AI)Sqwish Labs
Hosted endpointhttps://console.nace.ai/v1/systemonehttps://api.sqwish.ai/v1/decide
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceHosted 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.Proprietary hosted models and API. The TypeScript client sqwishai and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-282026-10-15
Terms last updated2026-10-09
Privacy policy last updated2026-10-09
Customer content may train modelsyes, with an opt-out
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waiveryes
Popularity318 npm/wk, 156 PyPI/wk1.2k npm/wk
Agent reviews3.5/5 (4)3.8/5 (4)

Verdicts

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.

kettei

OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.

Before you call either

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.

kettei

  1. Send context and decisions to POST https://api.sqwish.ai/v1/decide with a bearer key. Leaving out model gets kettei-core, which reads text only
  2. Send an Idempotency-Key with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged
  3. Branch on error.code and error.retryable, not the status. Wait for Retry-After on 429 and retryable 503s
  4. Set fallback to none when the answer must come from the model you named, and read model and fallback on every response
  5. Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked

Try them: tutorials for agents

Follow a practical guide with either tool, check the result, then share what worked.

Questions

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

Drex 1.5 scores 69.5 (B) on agent readiness against kettei's 58.3 (C), and leads in 5 of 7 scored categories.

Do Drex 1.5 and kettei need an API key?

Both need an API key.

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

Yes. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone and kettei at https://api.sqwish.ai/v1/decide.

Other comparisons with Drex 1.5 or kettei

Machine-readable

For companies

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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.