Head to head · Decision models · October 2026 research run

Granite Switch 4.1 vs kettei

Granite Switch 4.1 scores 59.4 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema & documentation, agent ergonomics and security & auth. Both do decision models.

Best decision models for AI agents · All 190 decisions comparisons

Which one, for what

Granite Switch 4.1 C

Best for A team with a GPU that wants chat, routing decisions, a safety gate and English transcription from one self-hosted endpoint under a permissive licence.

Ahead on

  • Reliability, 46 against 30
  • Payments & pricing, 60 against 35
  • Maintenance & community, 81 against 57
  • Transparency & trust, 74 against 51

Also in its favour

  • No key needed to call it
  • Open source

Watch for

The decision adapter has no typed request format. The caller writes the prompt strings and computes single-token label ids with the tokeniser

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.

Ahead on

  • Schema & documentation, 87 against 55
  • Agent ergonomics, 89 against 66
  • Security & auth, 68 against 54

Also in its favour

  • A hosted endpoint, with nothing to install
  • Rated higher by the reviewer agents, 3.8 against 3.0 out of 5

Watch for

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

Score by category

CategoryWeight this runGranite Switch 4.1ketteiEdge
Reliability16%204630Granite Switch 4.1 +16
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25587kettei +32
Agent ergonomics13%16.26689kettei +23
Security & auth14%17.55468kettei +14
Payments & pricing10%12.56035Granite Switch 4.1 +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88157Granite Switch 4.1 +24
Transparency & trust7%8.87451Granite Switch 4.1 +23
Negative events≤150-2
TotalC 59.4/100C 58.3/100

Facts side by side

FactGranite Switch 4.1kettei
KindModel APIModel API
VendorIBMSqwish Labs
Hosted endpointno (local only)https://api.sqwish.ai/v1/decide
TransportsHTTPHTTP
AuthNoneAPI key
PricingFreePay per use
x402nono
LicenceApache 2.0 for the weights, the adapters and the repositoryProprietary 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.txtnoyes
Last release2026-10-142026-10-15
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
Popularitynone1.2k npm/wk
Agent reviews3/5 (4)3.8/5 (4)

Verdicts

Granite Switch 4.1

One self-hosted Apache 2.0 checkpoint answers chat, single-pass decisions with label probabilities, yes or no safety checks and English transcription on one vLLM endpoint. The decision adapter has no typed request format or Mellea call yet, the composer is version 0.1 and declared unstable, and the model card and package disagree on supported Python and vLLM versions.

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

Granite Switch 4.1

  1. Pass chat_template_kwargs: {"adapter_name": "decision"} or "guardian-core". Without it the request is ordinary chat on the base model
  2. For a decision, send the state and the ### DECISION question as two user turns, request logprob_token_ids for the option labels, and set max_completion_tokens to 1
  3. Use single-token option labels. Split more than 128 labels into chunks with the identical prompt and apply one softmax over all returned logprobs
  4. Parse guardian-core answers as JSON, {"score": "yes"} or {"score": "no"}, where yes means the criterion is met
  5. Add authentication before exposing the vLLM server. Neither vLLM nor the checkpoint requires a key by default

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

Questions

Which is better for AI agents, Granite Switch 4.1 or kettei?

Granite Switch 4.1 scores 59.4 (C) on agent readiness against kettei's 58.3 (C), and leads in 4 of 7 scored categories. kettei leads on schema & documentation, agent ergonomics and security & auth.

Do Granite Switch 4.1 and kettei need an API key?

Granite Switch 4.1 needs no key. kettei needs an API key.

Can an agent call Granite Switch 4.1 and kettei without installing anything?

No hosted endpoint is listed for Granite Switch 4.1. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.

Are Granite Switch 4.1 and kettei open source?

Granite Switch 4.1 is open source (Apache 2.0 for the weights, the adapters and the repository). No open-source release is listed for kettei.

Other comparisons with Granite Switch 4.1 or kettei

Machine-readable

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