# Celeris-1 Decision vs ScaleDown

> Celeris-1 Decision and ScaleDown score within a point of each other for decision models, 49.3 and 48.6 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/celeris-1-decision-vs-scaledown
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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.
- Updated: 2026-10-15

Celeris-1 Decision and ScaleDown score within a point of each other on agent readiness, 49.3 (D) and 48.6 (D). ScaleDown leads on schema & documentation, payments & pricing and maintenance & community. Both do decision models.

- Celeris-1 Decision: grade D, 49.3/100, rank #862 of 1094. Markdown https://www.anchorterminal.com/tools/celeris-1-decision.md · JSON https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json
- ScaleDown: grade D, 48.6/100, rank #880 of 1094. Markdown https://www.anchorterminal.com/tools/scaledown.md · JSON https://www.anchorterminal.com/api/v1/tools/scaledown.json
- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md
- All 136 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md
- Best document parsing, OCR and extraction APIs for AI agents: https://www.anchorterminal.com/best/document-extraction/index.md
- All 125 documents comparisons: https://www.anchorterminal.com/compare/document-extraction/index.md

## Which one, for what

### Celeris-1 Decision (D)

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

Ahead on:
- Reliability, 40 against 20

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

### ScaleDown (D)

Good for: Cheap, high-volume labelling, routing and yes or no checks where a probability is more useful than prose, and for pulling described fields with offsets from text, images or PDFs.

Ahead on:
- Schema & documentation, 69 against 60
- Payments & pricing, 40 against 20
- Maintenance & community, 56 against 40

Also in its favour:
- Free to start without a card

Watch for: No status page, no published rate limits and no SLA outside enterprise contracts


## Score by category

| Category | Weight | Celeris-1 Decision | ScaleDown | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 20 | Celeris-1 Decision +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 60 | 69 | ScaleDown +9 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 76 | Celeris-1 Decision +4 |
| Security & auth | 14% (17.5 this run) | 45 | 48 | ScaleDown +3 |
| Payments & pricing | 10% (12.5 this run) | 20 | 40 | ScaleDown +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 40 | 56 | ScaleDown +16 |
| Transparency & trust | 7% (8.8 this run) | 53 | 54 | ScaleDown +1 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **49.3 · D** | **48.6 · D** | |

## Facts side by side

| Fact | Celeris-1 Decision | ScaleDown |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Celeris (Marqo Inc) | Carbon ScaleDown, Inc. |
| Hosted endpoint | `https://inference.celeris.ai/celeris-1-decision/v1/systemone` | `https://api.scaledown.xyz` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| Price for decision models | free | not published |
| x402 | no | no |
| Licence | Proprietary hosted model under Celeris terms of service | Proprietary hosted models under ScaleDown's Terms of Service. The langchain-scaledown integration is MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-08 | 2026-10-14 |
| Terms last updated | 2026-09-08 | couldn't be read |
| Privacy policy last updated | 2026-07-23 | couldn't be read |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | yes | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | none | 0 stars |

## 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.

**ScaleDown.** Classify answers Jev-shaped `choice`, `noul` and `score` questions with probabilities, and Extract returns values with confidences and character offsets, at $0.05 per million input tokens with output free. There is no status page, no published rate limit and no public changelog, and the site's compliance claims contradict each other.

## 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.

### ScaleDown

1. Send several questions about one item in one `/v1/scaledown` call. Each becomes its own Classify call and the usage is summed
2. Pin `classify-1`, `extract-1` or `summarize-1` once you've tuned thresholds on your own labelled cases
3. Set `context_chars` to 0 and use `top_n` on Extract unless you need the 500 characters of context each side
4. Set `reasoning: false` on /classify when you only need the label. The reasoning call bills its input at 2x
5. Back off and retry on 429, 502 and 504. No limits are published and calls have no side effects

## Questions

### Which is better for AI agents, Celeris-1 Decision or ScaleDown?

Celeris-1 Decision and ScaleDown score within a point of each other on agent readiness, 49.3 (D) and 48.6 (D). ScaleDown leads on schema & documentation, payments & pricing and maintenance & community.

### Do Celeris-1 Decision and ScaleDown need an API key?

Both need an API key.

### Can an agent call Celeris-1 Decision and ScaleDown without installing anything?

Yes. Celeris-1 Decision has a hosted endpoint at https://inference.celeris.ai/celeris-1-decision/v1/systemone and ScaleDown at https://api.scaledown.xyz.


## For agents

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

## Other comparisons with Celeris-1 Decision or ScaleDown

- [Celeris-1 Decision vs Clef](https://www.anchorterminal.com/compare/celeris-1-decision-vs-cloudflare-clef.md)
- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)
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- [Celeris-1 Decision vs Vela 2.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.md)
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- [Decision 3.0 vs ScaleDown](https://www.anchorterminal.com/compare/decision-3-vs-scaledown.md)
- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.md)
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