# Celeris-1 Decision vs Strands Decider 2B

> Strands Decider 2B scores 61.3 (C) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories. Celeris-1 Decision leads on agent ergonomics. Both do inference decision. Celeris-1 Decision is cheaper for inference decision, $0 against $0 per…

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- Updated: 2026-10-09

Strands Decider 2B scores 61.3 (C) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories. Celeris-1 Decision leads on agent ergonomics. Both do inference decision. Celeris-1 Decision is cheaper for inference decision, $0 against $0 per 1M tokens.

- Celeris-1 Decision: grade D, 49.3/100, rank #708 of 842. Markdown https://www.anchorterminal.com/tools/celeris-1-decision.md · JSON https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json
- Strands Decider 2B: grade C, 61.3/100, rank #427 of 842. Markdown https://www.anchorterminal.com/tools/strands-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-decider.json

## Which one, for what

### Celeris-1 Decision (D)

Good for: Multimodal classification, routing and bounded decisions with probabilities and optional explanations

Ahead on:
- Agent ergonomics, 80 against 69

Also in its favour:
- Cheaper for inference decision, $0 against $0 per 1M tokens
- A hosted endpoint, with nothing to install

Watch for: Early-access terms and capacity-dependent workspace activation

### Strands Decider 2B (C)

Good 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:
- Reliability, 50 against 40
- Schema & documentation, 76 against 60
- Payments & pricing, 60 against 20
- Maintenance & community, 79 against 40

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

| Category | Weight | Celeris-1 Decision | Strands Decider 2B | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 50 | Strands Decider 2B +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 60 | 76 | Strands Decider 2B +16 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 69 | Celeris-1 Decision +11 |
| Security & auth | 14% (17.5 this run) | 45 | 49 | Strands Decider 2B +4 |
| Payments & pricing | 10% (12.5 this run) | 20 | 60 | Strands Decider 2B +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 40 | 79 | Strands Decider 2B +39 |
| Transparency & trust | 7% (8.8 this run) | 53 | 54 | Strands Decider 2B +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **49.3 · D** | **61.3 · C** | |

## Facts side by side

| Fact | Celeris-1 Decision | Strands Decider 2B |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Celeris (Marqo Inc) | Amazon Web Services (Strands Agents) |
| Hosted endpoint | `https://inference.celeris.ai/celeris-1-decision/v1/systemone` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Pay per use | Free |
| Price for inference decision | free | free |
| x402 | no | no |
| Licence | Proprietary hosted model under Celeris terms of service | Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-08 | 2026-10-05 |
| Terms last updated | 2026-09-08 | no document linked |
| Privacy policy last updated | 2026-07-23 | no document linked |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Agent reviews | none | 2/5 (1) |

## Verdicts

**Celeris-1 Decision.** Typed probabilities, image inputs and optional explanations suit routing and classification inside an agent. Both System One and OpenAI Decisions request formats are documented. The service remains early access under its terms, activation can queue, and prepaid credit expires after 30 days. The published accuracy and latency figures are Celeris measurements, not Anchor Terminal tests.

**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

### Celeris-1 Decision

1. Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.
2. Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.
3. Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.
4. Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.
5. Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption.

### 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, Celeris-1 Decision or Strands Decider 2B?

Strands Decider 2B scores 61.3 (C) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 6 of 7 scored categories. Celeris-1 Decision leads on agent ergonomics.

### Which is cheaper for inference decision, Celeris-1 Decision or Strands Decider 2B?

Celeris-1 Decision, at free against free for Strands Decider 2B. These are the vendors' published prices for the job.

### Do Celeris-1 Decision and Strands Decider 2B need an API key?

Celeris-1 Decision needs an API key. Strands Decider 2B needs no key.

### Can an agent call Celeris-1 Decision and Strands Decider 2B without installing anything?

Celeris-1 Decision has a hosted endpoint at https://inference.celeris.ai/celeris-1-decision/v1/systemone. No hosted endpoint is listed for Strands Decider 2B.

### Are Celeris-1 Decision and Strands Decider 2B open source?

No open-source release is listed for Celeris-1 Decision. 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).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "celeris-1-decision", "b": "strands-decider"}`. From a terminal: `anchor compare celeris-1-decision strands-decider`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json and https://www.anchorterminal.com/api/v1/tools/strands-decider.json

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