Head to head · Decision models · October 2026 research run

Decider vs SPEV

Decider scores 69.5 (B) on agent readiness against SPEV's 51.1 (D), and leads in 5 of 7 scored categories. SPEV leads on transparency & trust. Both do decision models.

Best decision models for AI agents · All 136 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 45
  • Security & auth, 38 against 33
  • Payments & pricing, 60 against 30
  • Maintenance & community, 87 against 49

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

SPEV D

Best for Typed decisions over raw audio, such as end-of-turn detection, call triage and flagging, plus text and single images, hosted or self-hosted.

Ahead on

  • Transparency & trust, 54 against 46

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Published on 14 October 2026, with no service record, no status page and no API changelog

Score by category

CategoryWeight this runDeciderSPEVEdge
Reliability16%209045Decider +45
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27881SPEV +3
Agent ergonomics13%16.28076Decider +4
Security & auth14%17.53833Decider +5
Payments & pricing10%12.56030Decider +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88749Decider +38
Transparency & trust7%8.84654SPEV +8
Negative events≤150-2
TotalB 69.5/100D 51.1/100

Facts side by side

FactDeciderSPEV
KindModel APIModel API
VendorMark Marosi (Mapika)Sprag
Hosted endpointno (local only)https://api.sprag.ai/v1/decisions
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreePay per use
x402nono
LicenceApache-2.0 (code and weights)Apache-2.0 (weights and inference code, following the Qwen3-Omni base). Training code and data aren't published
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-072026-10-14
Terms last updatedno document linked2026-09-01
Privacy policy last updatedno document linked2026-08-01
Customer content may train modelsyes, with an opt-out
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.

SPEV

SPEV answers typed questions over text, audio or an image in one call, with a public OpenAPI schema and Apache-2.0 weights on Hugging Face. It is a day old, has an 8,192-token context, no status page or changelog, and Sprag's terms let it train on API content unless the customer opts out by email.

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

SPEV

  1. Send model: "spev" to POST https://api.sprag.ai/v1/decisions with a bearer key. /v1/systemone returns 410
  2. Ask every question about one piece of evidence in one request. Answers come back in question order
  3. Send audio as base64 in input_audio with format, not as a data URL, and at most one image across all messages
  4. Keep evidence and questions under 8,192 tokens. Over the limit returns 400 model_limit_exceeded
  5. Back off on 429 and 503 for Retry-After seconds. Limits are 60 requests a minute per organisation by default
  6. Handle an answer of type refusal, which carries no probabilities

Questions

Which is better for AI agents, Decider or SPEV?

Decider scores 69.5 (B) on agent readiness against SPEV's 51.1 (D), and leads in 5 of 7 scored categories. SPEV leads on transparency & trust.

Do Decider and SPEV need an API key?

Decider needs no key. SPEV needs an API key.

Can an agent call Decider and SPEV without installing anything?

No hosted endpoint is listed for Decider. SPEV has a hosted endpoint at https://api.sprag.ai/v1/decisions.

Are Decider and SPEV open source?

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

Other comparisons with Decider or SPEV

Machine-readable

For companies

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