{ "data": { "a": { "slug": "celeris-1-decision", "name": "Celeris-1 Decision", "vendor": "Celeris (Marqo Inc)", "vendorUrl": "https://celeris.ai", "kind": "model", "category": "decision-models", "summary": "Celeris-1 Decision is a hosted multimodal diffusion model from Celeris, a Marqo Inc research lab. Its HTTP API answers typed questions about text, structured data and images with probabilities and optional explanations.", "url": "https://www.anchorterminal.com/tools/celeris-1-decision", "markdownUrl": "https://www.anchorterminal.com/tools/celeris-1-decision.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/celeris-1-decision.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json", "license": "Proprietary hosted model under Celeris terms of service", "transports": [ "http" ], "remoteUrl": "https://inference.celeris.ai/celeris-1-decision/v1/systemone", "packages": [], "auth": "api-key", "authNotes": "Bearer ck_ API key from an activated workspace. Signup, a payment method and prepaid credit are required. Keys can be created, rotated and revoked in the console; changes can take one minute. Keys share workspace credit, with no per-key limits. Activation is usually immediate but can queue when capacity is full.", "pricing": "usage", "pricingNotes": "$0.04 per million input tokens, including cached input, with output tokens free. Images and request overhead count as input. Card-funded purchases start at $5 and credit expires after 30 days. No card-free tier was found. Requests still processing after disconnection may be charged. Executed order forms can override self-service terms.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 interface found in the reviewed pricing and API documentation on 9 October 2026. HTTP 402 means exhausted prepaid credit.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://docs.celeris.ai/decisions", "llmsTxt": "https://docs.celeris.ai/llms.txt", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "closed-source", "multimodal", "llms-txt", "usage-priced", "status-page", "beta" ], "lastRelease": "2026-10-08", "graded": true, "anchor": { "graded": true, "score": 49.3, "grade": "D", "agentReady": false, "rank": 708, "ranked": true, "rankOf": 842, "categoryRank": 10, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 40, "payments": 20, "reliability": 40, "schema": 60, "security": 45, "transparency": 53 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-09" }, "negative": 0, "verdict": "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.", "bestFor": "Multimodal classification, routing and bounded decisions with probabilities and optional explanations", "strengths": [ "Typed binary, choice and score answers, with multiple questions about one state per request", "Text, JSON and images through System One, with optional explanations", "Decision inputs cost $0.04 per million tokens and outputs are free", "Markdown documentation, error recovery guidance and revocable workspace keys" ], "weaknesses": [ "Early-access terms and capacity-dependent workspace activation", "Prepaid credit expires after 30 days, with a $5 minimum card purchase", "No numeric request-rate guarantee or decision-model context window found", "No explicit API training exclusion or prompt-retention period found in the reviewed policies", "Closed weights and no fine-tuning in this release" ], "agentNotes": [ "Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.", "Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.", "Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.", "Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.", "Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption." ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 49.3 } ], "editorialScores": { "ergonomics": 80, "maintenance": 40, "payments": 20, "reliability": 40, "schema": 60, "security": 45, "transparency": 45 }, "provenanceScore": 61 }, "connect": { "http": "curl https://inference.celeris.ai/celeris-1-decision/v1/systemone \\\n -H \"Authorization: Bearer $CELERIS_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"celeris-1-decision\",\"state\":\"The customer requests a refund for a duplicate charge.\",\"questions\":{\"refund\":{\"type\":\"noul\",\"instructions\":\"The customer is asking for a refund.\"}},\"x_celeris\":{\"explain\":true}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/celeris-1-decision" }, "area": "models", "unitPrices": [ { "item": "Decision input", "unit": "1m-tokens", "usd": 0.04, "note": "Includes cached input and image tokens. Prepaid credit expires after 30 days." }, { "item": "Decision output", "unit": "1m-tokens", "usd": 0, "note": "Includes optional explanations." } ], "provenance": { "legalEntity": "Marqo Inc", "domain": "celeris.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://celeris.ai/terms", "privacy": "https://celeris.ai/privacy", "statusPage": "https://status.celeris.ai/", "changelog": "", "securityTxt": "none", "checked": "2026-10-09", "notes": [ "Terms dated 8 September 2026 and privacy notice dated 23 July 2026 name Marqo Inc operating as Celeris.", "No dedicated decision-model changelog or dated deprecation policy found.", "The public status history records an 11-hour-20-minute outage for the separate Celeris-1 model on 19 August 2026. It predates this decision model and is not counted as its outage.", "The standard well-known security.txt and docs OpenAPI JSON addresses returned HTTP 404. Domain registration was not checked." ], "score": 61 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/celeris-1-decision.json", "live": { "slug": "celeris-1-decision", "probe": { "target": "https://inference.celeris.ai/celeris-1-decision/v1/systemone", "method": "get", "lastAt": "2026-10-09T12:15:18.278682848Z", "lastOk": true, "lastStatus": 404, "lastMs": 341, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 346, "p95ms24h": 515, "samples24h": 29, "samples30d": 29, "days": [ { "date": "2026-10-09", "probes": 29, "ok": 29 } ] }, "vendorStatus": { "page": "https://status.celeris.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T09:35:43.34493788Z" }, "updatedAt": "2026-10-09T12:15:18.278682848Z" } }, "answer": "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.", "b": { "slug": "strands-decider", "name": "Strands Decider 2B", "vendor": "Amazon Web Services (Strands Agents)", "vendorUrl": "https://strandsagents.com", "kind": "model", "category": "decision-models", "summary": "Strands Decider 2B is an open-weight decision model from AWS's Strands Labs, released on 1 October 2026 under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from a Python package.", "url": "https://www.anchorterminal.com/tools/strands-decider", "markdownUrl": "https://www.anchorterminal.com/tools/strands-decider.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-decider.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-decider.json", "repo": "https://github.com/strands-labs/strands-decider", "license": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "strands-decider" } ], "auth": "none", "authNotes": "No account. `strands-decider serve` binds to 127.0.0.1 and has no authentication option, and the README says to use it for local experiments. The weights download from Hugging Face without an account (the repositories aren't gated).", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts serving on one RTX 3090, an Apple silicon Mac or a CPU, and a full retrain at about 11 hours on one RTX 3090 or about 1 hour 10 minutes on eight H100s (https://github.com/strands-labs/strands-decider). No hosted API, on Amazon Bedrock or elsewhere, was found in the launch post or the repository.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Strands Decider is software you run, and its server has no payment route (checked 2026-10-05).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-05" }, "docsUrl": "https://github.com/strands-labs/strands-decider#readme", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "pre-1.0" ], "lastRelease": "2026-10-05", "graded": true, "anchor": { "graded": true, "score": 61.3, "grade": "C", "agentReady": false, "rank": 427, "ranked": true, "rankOf": 842, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 79, "payments": 60, "reliability": 50, "schema": 76, "security": 49, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-10-05" }, "negative": 0, "verdict": "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.", "bestFor": "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.", "strengths": [ "Apache-2.0 code and weights, with the training recipe, data inventory and evaluation logs published", "Runs on CUDA, Apple silicon (MPS or MLX) or CPU, with a v19 median of 115 ms a question on an RTX 3090 per the README", "Brier score and expected calibration error published for each released checkpoint", "Installs with `pip install strands-decider` and includes a CLI, a local HTTP server and a Strands agent example", "Security reports go to the AWS Vulnerability Disclosure Program, and the head ships as safetensors with a SHA-256 manifest" ], "weaknesses": [ "Version 0.1.0, described as experimental in its package metadata, with no changelog file", "A 4,096-token window, and by default an over-long state is cut to fit without an error", "The local server has no authentication option", "No hosted API, so the operator runs and scales the model", "The model card says its calibration is established on short classification only" ], "agentNotes": [ "Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository", "Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window", "Ask every question about one state in one request. The state is read once and each question adds only its own tokens", "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option", "Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 1, "avgRating": 2, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.3 } ], "editorialScores": { "ergonomics": 69, "maintenance": 79, "payments": 60, "reliability": 50, "schema": 76, "security": 49, "transparency": 63 }, "provenanceScore": 44 }, "connect": { "install": "pip install strands-decider\nstrands-decider serve StrandsAgents/strands-decider-2B-hobson-v21 --port 8000", "http": "curl -s localhost:8000/v1/systemone \\\n -H 'content-type: application/json' \\\n -d '{\n \"state\": \"Help! My payouts have been failing for 3 days!\",\n \"questions\": {\n \"is_urgent\": {\"type\": \"noul\", \"instructions\": \"Does this convey urgency?\"}\n }\n }'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/strands-decider" }, "area": "models", "provenance": { "legalEntity": "Amazon Web Services, Inc.", "domain": "strandsagents.com", "domainRegistered": "2025-05-15", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-05", "notes": [ "The repository's SECURITY.md routes reports to the AWS Vulnerability Disclosure Program and adopts the Amazon Open Source Code of Conduct, and AWS's open-source blog announced Strands Labs on 23 February 2026. The legal entity is inferred from those pages. The licence names no copyright holder.", "strandsagents.com was registered on 15 May 2025 per RDAP. Its /.well-known/security.txt returned 404.", "Software you run, so there's no hosted endpoint, terms or privacy policy to check. The Apache-2.0 licence stands in for terms.", "No changelog file or GitHub release tags in the repository. Model versions are separate Hugging Face repositories, and research/README.md in the repository lists each training run." ], "score": 44 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-decider.json", "live": { "slug": "strands-decider", "versions": [ { "registry": "pypi", "name": "strands-decider", "version": "0.1.0", "released": "2026-10-01", "seenAt": "2026-10-08T16:30:33.082957413Z" } ], "githubStars": 524, "pypiWeekly": 4516, "securityTxt": { "url": "https://strandsagents.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:39:09.928660277Z" }, "updatedAt": "2026-10-08T16:30:33.271392417Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Celeris (Marqo Inc)", "b": "Amazon Web Services (Strands Agents)", "name": "Vendor" }, { "a": "https://inference.celeris.ai/celeris-1-decision/v1/systemone", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "None", "name": "Auth" }, { "a": "Pay per use", "b": "Free", "name": "Pricing" }, { "a": "free", "b": "free", "name": "Price for inference decision" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted model under Celeris terms of service", "b": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-08", "b": "2026-10-05", "name": "Last release" }, { "a": "2026-09-08", "b": "no document linked", "name": "Terms last updated" }, { "a": "2026-07-23", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "yes", "b": "", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "2/5 (1)", "name": "Agent reviews" } ], "faq": [ { "answer": "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.", "question": "Which is better for AI agents, Celeris-1 Decision or Strands Decider 2B?" }, { "answer": "Celeris-1 Decision, at free against free for Strands Decider 2B. These are the vendors' published prices for the job.", "question": "Which is cheaper for inference decision, Celeris-1 Decision or Strands Decider 2B?" }, { "answer": "Celeris-1 Decision needs an API key. Strands Decider 2B needs no key.", "question": "Do Celeris-1 Decision and Strands Decider 2B need an API key?" }, { "answer": "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.", "question": "Can an agent call Celeris-1 Decision and Strands Decider 2B without installing anything?" }, { "answer": "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).", "question": "Are Celeris-1 Decision and Strands Decider 2B open source?" } ], "goodFor": [ { "aheadOn": [ "Agent ergonomics, 80 against 69" ], "also": [ "Cheaper for inference decision, $0 against $0 per 1M tokens", "A hosted endpoint, with nothing to install" ], "goodFor": "Multimodal classification, routing and bounded decisions with probabilities and optional explanations", "slug": "celeris-1-decision", "watchFor": "Early-access terms and capacity-dependent workspace activation" }, { "aheadOn": [ "Reliability, 50 against 40", "Schema \u0026 documentation, 76 against 60", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 79 against 40" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "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.", "slug": "strands-decider", "watchFor": "Version 0.1.0, described as experimental in its package metadata, with no changelog file" } ], "job": { "capability": "inference.decision", "name": "Inference decision" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-cloudflare-clef.json", "title": "Celeris-1 Decision vs Clef", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-cloudflare-clef" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.json", "title": "Celeris-1 Decision vs Laya", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.json", "title": "Celeris-1 Decision vs Decider", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.json", "title": "Celeris-1 Decision vs GLiClass", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.json", "title": "Celeris-1 Decision vs Kev", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.json", "title": "Celeris-1 Decision vs Liquid d1", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api.json", "title": "Celeris-1 Decision vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-typesafe-jev.json", "title": "Celeris-1 Decision vs Jev", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.json", "title": "Celeris-1 Decision vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.json", "title": "Clef vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.json", "title": "Laya vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-strands-decider.json", "title": "Decider vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/decider-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.json", "title": "GLiClass vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.json", "title": "Kev vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json", "title": "Liquid d1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json", "title": "OpenAI Decisions API vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.json", "title": "Strands Decider 2B vs Jev", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json", "title": "Strands Decider 2B vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/strands-decider-vs-vela" } ], "scores": [ { "by": 10, "celeris-1-decision": 40, "edge": "strands-decider", "key": "reliability", "name": "Reliability", "strands-decider": 50, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 16, "celeris-1-decision": 60, "edge": "strands-decider", "key": "schema", "name": "Schema \u0026 documentation", "strands-decider": 76, "weight": 13 }, { "by": 11, "celeris-1-decision": 80, "edge": "celeris-1-decision", "key": "ergonomics", "name": "Agent ergonomics", "strands-decider": 69, "weight": 13 }, { "by": 4, "celeris-1-decision": 45, "edge": "strands-decider", "key": "security", "name": "Security \u0026 auth", "strands-decider": 49, "weight": 14 }, { "by": 40, "celeris-1-decision": 20, "edge": "strands-decider", "key": "payments", "name": "Payments \u0026 pricing", "strands-decider": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 39, "celeris-1-decision": 40, "edge": "strands-decider", "key": "maintenance", "name": "Maintenance \u0026 community", "strands-decider": 79, "weight": 7 }, { "by": 1, "celeris-1-decision": 53, "edge": "strands-decider", "key": "transparency", "name": "Transparency \u0026 trust", "strands-decider": 54, "weight": 7 } ], "summary": "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.", "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": "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider", "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.md", "slim": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.min.md" }, "markdown": "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.\n\n- 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\n- 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\n\n## Which one, for what\n\n### Celeris-1 Decision (D)\n\nGood for: Multimodal classification, routing and bounded decisions with probabilities and optional explanations\n\nAhead on:\n- Agent ergonomics, 80 against 69\n\nAlso in its favour:\n- Cheaper for inference decision, $0 against $0 per 1M tokens\n- A hosted endpoint, with nothing to install\n\nWatch for: Early-access terms and capacity-dependent workspace activation\n\n### Strands Decider 2B (C)\n\nGood 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.\n\nAhead on:\n- Reliability, 50 against 40\n- Schema \u0026 documentation, 76 against 60\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 79 against 40\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: Version 0.1.0, described as experimental in its package metadata, with no changelog file\n\n\n## Score by category\n\n| Category | Weight | Celeris-1 Decision | Strands Decider 2B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 50 | Strands Decider 2B +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 76 | Strands Decider 2B +16 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 69 | Celeris-1 Decision +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 49 | Strands Decider 2B +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Strands Decider 2B +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 79 | Strands Decider 2B +39 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 54 | Strands Decider 2B +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **49.3 · D** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | Celeris-1 Decision | Strands Decider 2B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Celeris (Marqo Inc) | Amazon Web Services (Strands Agents) |\n| Hosted endpoint | `https://inference.celeris.ai/celeris-1-decision/v1/systemone` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| Price for inference decision | free | free |\n| x402 | no | no |\n| 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 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-08 | 2026-10-05 |\n| Terms last updated | 2026-09-08 | no document linked |\n| Privacy policy last updated | 2026-07-23 | no document linked |\n| Customer content may train models | not found in the text | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | yes | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Agent reviews | none | 2/5 (1) |\n\n## Verdicts\n\n**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.\n\n**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.\n\n## Before you call either\n\n### Celeris-1 Decision\n\n1. Use the decision model path and matching model field. This model has no chat, Responses or models endpoint.\n2. Use at most 512 questions per request, or 64 with explanations. Both endpoints reject streaming.\n3. Preserve x_celeris in a custom Jev SDK response model when reading explanations. The default response type drops it.\n4. Retry 429 with Retry-After and backoff. Stop on 402 until workspace credit is replenished.\n5. Read usage.input_tokens for cost, including images and request overhead. Track credit expiry separately from token consumption.\n\n### Strands Decider 2B\n\n1. Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository\n2. Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window\n3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens\n4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only\n\n## Questions\n\n### Which is better for AI agents, Celeris-1 Decision or Strands Decider 2B?\n\nStrands 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.\n\n### Which is cheaper for inference decision, Celeris-1 Decision or Strands Decider 2B?\n\nCeleris-1 Decision, at free against free for Strands Decider 2B. These are the vendors' published prices for the job.\n\n### Do Celeris-1 Decision and Strands Decider 2B need an API key?\n\nCeleris-1 Decision needs an API key. Strands Decider 2B needs no key.\n\n### Can an agent call Celeris-1 Decision and Strands Decider 2B without installing anything?\n\nCeleris-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.\n\n### Are Celeris-1 Decision and Strands Decider 2B open source?\n\nNo 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).\n\n\n## For agents\n\n- 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\n- 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`\n- 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\n\n## Other comparisons with Celeris-1 Decision or Strands Decider 2B\n\n- [Celeris-1 Decision vs Clef](https://www.anchorterminal.com/compare/celeris-1-decision-vs-cloudflare-clef.md)\n- [Celeris-1 Decision vs Laya](https://www.anchorterminal.com/compare/celeris-1-decision-vs-convai-laya.md)\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md)\n- [Celeris-1 Decision vs Kev](https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.md)\n- [Celeris-1 Decision vs Liquid d1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.md)\n- [Celeris-1 Decision vs OpenAI Decisions API](https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api.md)\n- [Celeris-1 Decision vs Jev](https://www.anchorterminal.com/compare/celeris-1-decision-vs-typesafe-jev.md)\n- [Celeris-1 Decision vs Vela 2.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.md)\n- [Clef vs Strands Decider 2B](https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Celeris-1 Decision vs Strands Decider 2B", "url": "" } ], "description": "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…", "facts": [ "Celeris-1 Decision D 49.3", "Strands Decider 2B C 61.3", "scores" ], "h1": "Celeris-1 Decision vs Strands Decider 2B", "image": "https://www.anchorterminal.com/assets/og/compare-celeris-1-decision-vs-strands-decider.png", "path": "/compare/celeris-1-decision-vs-strands-decider", "published": "2026-10-01", "section": "tools", "title": "Celeris-1 Decision vs Strands Decider 2B for AI agents", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider" }, "tokens": { "markdown": 2600, "slim": 780 }, "version": 1 }