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Head to head · Decision models · October 2026 research run

Kev vs SPEV

Kev scores 67.4 (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

KevJared Palmer · Model API B67.4/100#270 of 1094 SPEVSprag · Model API D51.1/100#819 of 1094

Which one, for what

Kev B

Best for Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.

Ahead on

  • Reliability, 73 against 45
  • Security & auth, 49 against 33
  • Payments & pricing, 60 against 30
  • Maintenance & community, 83 against 49

Also in its favour

  • No key needed to call it
  • Open source

Watch for

No package. pip install kev installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv

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 49

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 runKevSPEVEdge
Reliability16%207345Kev +28
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27781SPEV +4
Agent ergonomics13%16.27876Kev +2
Security & auth14%17.54933Kev +16
Payments & pricing10%12.56030Kev +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88349Kev +34
Transparency & trust7%8.84954SPEV +5
Negative events≤150-2
TotalB 67.4/100D 51.1/100

Facts side by side

FactKevSPEV
KindModel APIModel API
VendorJared PalmerSprag
Hosted endpointno (local only)https://api.sprag.ai/v1/decisions
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreePay per use
x402nono
LicenceApache-2.0 (code, adapters 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 release2026-10-012026-10-14
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
Agent reviews3.5/5 (2)none

Verdicts

Kev

Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. pip install kev installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv.

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

Kev

  1. Install from the repository. The kev package on PyPI is an unrelated project
  2. Pin a checkpoint with @v1.0, as in jaredpalmer/kev-4b@v1.0, so tuned thresholds keep their meaning
  3. Keep states under 8,192 tokens on Kev-0.8B, 4B and 9B, or use Kev-27B for long documents
  4. Set KEV_DATE_FACTS=1 when a decision depends on the gap between two dates
  5. Expect a 422 naming the token count when a state passes 65,536 tokens. The server refuses it instead of cutting it

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, Kev or SPEV?

Kev scores 67.4 (B) on agent readiness against SPEV's 51.1 (D), and leads in 5 of 7 scored categories. SPEV leads on transparency & trust.

Do Kev and SPEV need an API key?

Kev needs no key. SPEV needs an API key.

Can an agent call Kev and SPEV without installing anything?

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

Are Kev and SPEV open source?

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

Other comparisons with Kev or SPEV

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