{
  "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": "Decider scores 69.5 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 4 of 7 scored categories. Celeris-1 Decision leads on security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "slug": "decider",
      "name": "Decider",
      "vendor": "Mark Marosi (Mapika)",
      "vendorUrl": "https://github.com/Mapika",
      "kind": "model",
      "category": "decision-models",
      "summary": "Decider is a family of open-weight decision models by Mark Marosi (Mapika), from 0.8B to 35B parameters under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from the `decider-ai` Python package.",
      "url": "https://www.anchorterminal.com/tools/decider",
      "markdownUrl": "https://www.anchorterminal.com/tools/decider.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/decider.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/decider.json",
      "repo": "https://github.com/Mapika/decider",
      "license": "Apache-2.0 (code and weights)",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "decider-ai"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `decider.serve` has no authentication option. `scripts/serve.sh` binds to 127.0.0.1 since 1.7.1, and `DECIDER_HOST=0.0.0.0` opens it to the network. 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 the 2B at about 4 GB of GPU memory, the 4B at 8.4 GB and the 35B at 65 GB in bf16, with GGUF files of 1.3 GB and 2.7 GB for CPU (https://github.com/Mapika/decider). No hosted API was found.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Decider is software you run, and its server has no payment route (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 1100,
        "npmWeekly": null,
        "pypiWeekly": 2680,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://github.com/Mapika/decider#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.5,
        "grade": "B",
        "agentReady": false,
        "rank": 172,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 90,
          "schema": 78,
          "security": 38,
          "transparency": 46
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.",
        "bestFor": "Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.",
        "strengths": [
          "Apache-2.0 code and weights, with the training code, data builders and per-version measurements in the repository",
          "Sizes from 0.8B to 35B parameters, with GGUF files for CPU and builds for CUDA, Apple silicon and vLLM",
          "`POST /v1/systemone` follows TypeSafe's wire format, and the README says TypeSafe's SDKs work with `TYPESAFE_BASE_URL` set to the local server",
          "Dated changelog entries for all 21 `decider-ai` releases from 1.0.0 (22 September 2026) to 1.9.0 (7 October 2026)",
          "Size limits return 413, overload 503 and invalid questions 422, each with a message documented in `docs/SERVING.md`"
        ],
        "weaknesses": [
          "The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1",
          "States over 32,768 tokens are truncated (`DECIDER_MAX_STATE_TOKENS`) without an error",
          "No SECURITY.md, disclosure policy or security contact was found in the repository",
          "One maintainer wrote 95 of 98 commits, and the project is three weeks old",
          "The README says calibration on hard items is weak, the models are English only, and one pass can't do multi-step arithmetic",
          "No hosted API, and the HTTP server doesn't serve the GGUF files"
        ],
        "agentNotes": [
          "Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions",
          "Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability",
          "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option",
          "Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens",
          "Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.5
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 90,
          "schema": 78,
          "security": 38,
          "transparency": 64
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "pip install decider-ai"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/decider"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "github.com/Mapika",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/Mapika/decider/blob/main/docs/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "An individual's open-source project under Apache-2.0. The pyproject and the README citation name Mark Marosi as author, and no company is named.",
          "No vendor domain. The code is at github.com/Mapika/decider and the weights at huggingface.co/Mapika, so the domain line names the GitHub account and scores no domain age.",
          "Software you run, so there's no hosted endpoint, service terms or privacy policy. The author publishes none, and the Apache-2.0 licence stands in for terms.",
          "The changelog is `docs/CHANGELOG.md`, with a dated entry for each package release and model update. Release tags v1.0.2 to v1.9.0 match the PyPI versions."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/decider.json"
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Celeris (Marqo Inc)",
        "b": "Mark Marosi (Mapika)",
        "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 and weights)",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-08",
        "b": "2026-10-07",
        "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": "1.1k stars, 2.7k PyPI/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Decider scores 69.5 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 4 of 7 scored categories. Celeris-1 Decision leads on security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Celeris-1 Decision or Decider?"
      },
      {
        "answer": "Celeris-1 Decision, at free against free for Decider. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for inference decision, Celeris-1 Decision or Decider?"
      },
      {
        "answer": "Celeris-1 Decision needs an API key. Decider needs no key.",
        "question": "Do Celeris-1 Decision and Decider 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 Decider.",
        "question": "Can an agent call Celeris-1 Decision and Decider without installing anything?"
      },
      {
        "answer": "No open-source release is listed for Celeris-1 Decision. Decider is open source (Apache-2.0 (code and weights)).",
        "question": "Are Celeris-1 Decision and Decider open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 45 against 38",
          "Transparency \u0026 trust, 53 against 46"
        ],
        "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, 90 against 40",
          "Schema \u0026 documentation, 78 against 60",
          "Payments \u0026 pricing, 60 against 20",
          "Maintenance \u0026 community, 87 against 40"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "goodFor": "Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.",
        "slug": "decider",
        "watchFor": "The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1"
      }
    ],
    "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-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-strands-decider.json",
        "title": "Celeris-1 Decision vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider"
      },
      {
        "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-decider.json",
        "title": "Clef vs Decider",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-decider.json",
        "title": "Laya vs Decider",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-gliclass.json",
        "title": "Decider vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/decider-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.json",
        "title": "Decider vs Kev",
        "url": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1.json",
        "title": "Decider vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1"
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      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.json",
        "title": "Decider vs OpenAI Decisions API",
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.json",
        "title": "Decider vs Jev",
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        "title": "Decider vs Vela 2.0",
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      {
        "by": 50,
        "celeris-1-decision": 40,
        "decider": 90,
        "edge": "decider",
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 18,
        "celeris-1-decision": 60,
        "decider": 78,
        "edge": "decider",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 0,
        "celeris-1-decision": 80,
        "decider": 80,
        "edge": "",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 7,
        "celeris-1-decision": 45,
        "decider": 38,
        "edge": "celeris-1-decision",
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 40,
        "celeris-1-decision": 20,
        "decider": 60,
        "edge": "decider",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 47,
        "celeris-1-decision": 40,
        "decider": 87,
        "edge": "decider",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 7,
        "celeris-1-decision": 53,
        "decider": 46,
        "edge": "celeris-1-decision",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Decider scores 69.5 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 4 of 7 scored categories. Celeris-1 Decision leads on security \u0026 auth and transparency \u0026 trust. 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.",
      "decider": "An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published."
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  "markdown": "Decider scores 69.5 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 4 of 7 scored categories. Celeris-1 Decision leads on security \u0026 auth and transparency \u0026 trust. 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- Decider: grade B, 69.5/100, rank #172 of 842. Markdown https://www.anchorterminal.com/tools/decider.md · JSON https://www.anchorterminal.com/api/v1/tools/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- Security \u0026 auth, 45 against 38\n- Transparency \u0026 trust, 53 against 46\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### Decider (B)\n\nGood for: Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.\n\nAhead on:\n- Reliability, 90 against 40\n- Schema \u0026 documentation, 78 against 60\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 87 against 40\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1\n\n\n## Score by category\n\n| Category | Weight | Celeris-1 Decision | Decider | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 90 | Decider +50 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 78 | Decider +18 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 80 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 38 | Celeris-1 Decision +7 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Decider +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 87 | Decider +47 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 46 | Celeris-1 Decision +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **49.3 · D** | **69.5 · B** | |\n\n## Facts side by side\n\n| Fact | Celeris-1 Decision | Decider |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Celeris (Marqo Inc) | Mark Marosi (Mapika) |\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 and weights) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-08 | 2026-10-07 |\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| Popularity | none | 1.1k stars, 2.7k PyPI/wk |\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**Decider.** An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.\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### Decider\n\n1. Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions\n2. Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability\n3. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n4. Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens\n5. Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail\n\n## Questions\n\n### Which is better for AI agents, Celeris-1 Decision or Decider?\n\nDecider scores 69.5 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 4 of 7 scored categories. Celeris-1 Decision leads on security \u0026 auth and transparency \u0026 trust.\n\n### Which is cheaper for inference decision, Celeris-1 Decision or Decider?\n\nCeleris-1 Decision, at free against free for Decider. These are the vendors' published prices for the job.\n\n### Do Celeris-1 Decision and Decider need an API key?\n\nCeleris-1 Decision needs an API key. Decider needs no key.\n\n### Can an agent call Celeris-1 Decision and Decider 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 Decider.\n\n### Are Celeris-1 Decision and Decider open source?\n\nNo open-source release is listed for Celeris-1 Decision. Decider is open source (Apache-2.0 (code and weights)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"celeris-1-decision\", \"b\": \"decider\"}`. From a terminal: `anchor compare celeris-1-decision 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/decider.json\n\n## Other comparisons with Celeris-1 Decision or Decider\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 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 Strands Decider 2B](https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.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 Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)\n- [Decider vs Kev](https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.md)\n- [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md)\n- [Decider vs OpenAI Decisions API](https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.md)\n- [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [Decider vs Jev](https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.md)\n- [Decider vs Vela 2.0](https://www.anchorterminal.com/compare/decider-vs-vela.md)\n",
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        "name": "Celeris-1 Decision vs Decider",
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    "description": "Decider scores 69.5 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 4 of 7 scored categories. Celeris-1 Decision leads on security \u0026 auth and transparency \u0026 trust. Both do inference decision. Celeris-1 Decision is cheaper for inference decision, $0…",
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    "title": "Celeris-1 Decision vs Decider for AI agents, D 49.3 vs B 69.5",
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