Head to head · Decision models · October 2026 research run

Granite Switch 4.1 vs Strands Decider 2B

Strands Decider 2B scores 61.3 (C) on agent readiness against Granite Switch 4.1's 59.4 (C), and leads in 3 of 7 scored categories. Granite Switch 4.1 leads on security & auth and transparency & trust. 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

  • Security & auth, 54 against 49
  • Transparency & trust, 74 against 54

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

Strands Decider 2B C

Best for Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.

Ahead on

  • Schema & documentation, 76 against 55

Watch for

Version 0.1.0, described as experimental in its package metadata, with no changelog file

Score by category

CategoryWeight this runGranite Switch 4.1Strands Decider 2BEdge
Reliability16%204650Strands Decider 2B +4
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25576Strands Decider 2B +21
Agent ergonomics13%16.26669Strands Decider 2B +3
Security & auth14%17.55449Granite Switch 4.1 +5
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88179Granite Switch 4.1 +2
Transparency & trust7%8.87454Granite Switch 4.1 +20
Negative events≤1500
TotalC 59.4/100C 61.3/100

Facts side by side

FactGranite Switch 4.1Strands Decider 2B
KindModel APIModel API
VendorIBMAmazon Web Services (Strands Agents)
Hosted endpointno (local only)no (local only)
TransportsHTTPHTTP
AuthNoneNone
PricingFreeFree
x402nono
LicenceApache 2.0 for the weights, the adapters and the repositoryApache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base
Read-only variant documentednono
llms.txtnono
Last release2026-10-142026-10-05
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedno 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
Agent reviews3/5 (4)2/5 (1)

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.

Strands Decider 2B

A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.

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

Strands Decider 2B

  1. Pin the checkpoint by its full name, such as StrandsAgents/strands-decider-2B-hobson-v21, since each version is a separate Hugging Face repository
  2. Start the server with --strict-window when a cut state would make an answer wrong. It then returns 422 naming the window
  3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens
  4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option
  5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only

Questions

Which is better for AI agents, Granite Switch 4.1 or Strands Decider 2B?

Strands Decider 2B scores 61.3 (C) on agent readiness against Granite Switch 4.1's 59.4 (C), and leads in 3 of 7 scored categories. Granite Switch 4.1 leads on security & auth and transparency & trust.

Do Granite Switch 4.1 and Strands Decider 2B need an API key?

Neither needs a key.

Can an agent call Granite Switch 4.1 and Strands Decider 2B without installing anything?

No hosted endpoint is listed for Granite Switch 4.1. No hosted endpoint is listed for Strands Decider 2B.

Are Granite Switch 4.1 and Strands Decider 2B open source?

Yes. Granite Switch 4.1 is open source (Apache 2.0 for the weights, the adapters and the repository). Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).

Other comparisons with Granite Switch 4.1 or Strands Decider 2B

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