Head to head · Decision models · October 2026 research run

RightNow System Zero vs Strands Decider 2B

RightNow System Zero scores 66.8 (B) on agent readiness against Strands Decider 2B's 61.5 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on payments & pricing and maintenance & community. Both do decision models.

Best decision models for AI agents · All 220 decisions comparisons

Which one, for what

RightNow System Zero B

Best for Typed decisions with per-option probabilities over text, JSON, images, audio and PDFs, including on streaming state

Ahead on

  • Schema & documentation, 83 against 76
  • Agent ergonomics, 86 against 69
  • Security & auth, 70 against 49
  • Transparency & trust, 70 against 57

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

Standard context is 38,000 tokens. The 64k, 128k and 1M bands are held, and video is a preview

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

  • Payments & pricing, 60 against 40
  • Maintenance & community, 79 against 68

Also in its favour

  • No key needed to call it
  • Open source

Watch for

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

Score by category

CategoryWeight this runRightNow System ZeroStrands Decider 2BEdge
Reliability16%205050even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28376RightNow System Zero +7
Agent ergonomics13%16.28669RightNow System Zero +17
Security & auth14%17.57049RightNow System Zero +21
Payments & pricing10%12.54060Strands Decider 2B +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.86879Strands Decider 2B +11
Transparency & trust7%8.87057RightNow System Zero +13
Negative events≤1500
TotalB 66.8/100C 61.5/100

Facts side by side

FactRightNow System ZeroStrands Decider 2B
KindModel APIModel API
VendorRightNow AI, Inc.Amazon Web Services (Strands Agents)
Hosted endpointhttps://api.rightnowai.co/v1/system-zero/decideno (local only)
TransportsHTTP, websocketHTTP
AuthAPI keyNone
PricingPay per useFree
x402nono
LicenceProprietary hosted model under RightNow AI terms of use; the SDKs are Apache-2.0Apache-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.txtyesno
Last release2026-10-272026-10-05
Terms last updatedno date givenno document linked
Privacy policy last updatedno date givenno document linked
Customer content may train modelsyes
Terms restrict automated accessyes
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 reviewsnone2/5 (1)

Verdicts

RightNow System Zero

A well-documented decision API with an OpenAPI file, idempotent retries, a detailed error catalogue, streaming over WebSocket and published per-unit prices with USD 5 of starting credit. Standard context is 38,000 tokens; the 64k, 128k and 1M bands are held and video is a preview. The latency and benchmark figures are RightNow's own, and several of its pages disagree.

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

RightNow System Zero

  1. Send audio only as inline 16,000 Hz WAV. The FLAC, MP3, OGG and MP4 audio named on the blog are refused with media_unsupported.
  2. Keep state under 38,000 tokens. Long-context requests return 404 long_context_not_available, which never succeeds on retry.
  3. Reuse the same Idempotency-Key and body on retries, and stop when error.retryable or x-should-retry is false.
  4. Check every entry in answers even on HTTP 200, since one question can be refused while the others are answered.
  5. Treat probabilities as uncalibrated while calibrated is false, and pin system-zero-2.0.0 when answers must not move with the alias.

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, RightNow System Zero or Strands Decider 2B?

RightNow System Zero scores 66.8 (B) on agent readiness against Strands Decider 2B's 61.5 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on payments & pricing and maintenance & community.

Do RightNow System Zero and Strands Decider 2B need an API key?

RightNow System Zero needs an API key. Strands Decider 2B needs no key.

Can an agent call RightNow System Zero and Strands Decider 2B without installing anything?

RightNow System Zero has a hosted endpoint at https://api.rightnowai.co/v1/system-zero/decide. No hosted endpoint is listed for Strands Decider 2B.

Are RightNow System Zero and Strands Decider 2B open source?

No open-source release is listed for RightNow System Zero. 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 RightNow System Zero or Strands Decider 2B

Machine-readable

For companies

Do agents find, use and choose your tools?

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.