{ "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": "2026-10-09T13:18:46.861329743Z", "lastOk": true, "lastStatus": 404, "lastMs": 352, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 345, "p95ms24h": 480, "samples24h": 40, "samples30d": 40, "days": [ { "date": "2026-10-09", "probes": 40, "ok": 40 } ] }, "vendorStatus": { "page": "https://status.celeris.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-09T09:35:43.34493788Z" }, "updatedAt": "2026-10-09T13:18:46.861329743Z" } }, "answer": "Kev scores 67.4 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 5 of 7 scored categories.", "b": { "slug": "jaredpalmer-kev", "name": "Kev", "vendor": "Jared Palmer", "vendorUrl": "https://github.com/jaredpalmer", "kind": "model", "category": "decision-models", "summary": "Kev is a family of four open-weight decision models by Jared Palmer, released together as Kev 1.0 on 1 October 2026 under Apache-2.0.", "url": "https://www.anchorterminal.com/tools/jaredpalmer-kev", "markdownUrl": "https://www.anchorterminal.com/tools/jaredpalmer-kev.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/jaredpalmer-kev.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json", "repo": "https://github.com/jaredpalmer/kev", "license": "Apache-2.0 (code, adapters and weights)", "transports": [ "http" ], "packages": [], "auth": "none", "authNotes": "No account. `kev.serve` binds to 127.0.0.1 and is open by default. Setting `KEV_API_KEY` makes it require `Authorization: Bearer \u003ckey\u003e` on `/v1/*`, which the TypeSafe clients always send. The weights download from Hugging Face without an account.", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy. You pay for the hardware. The Modal deploy skill lists $0.80 an hour for Kev-0.8B on an L4, $1.95 for Kev-4B on an L40S, $3.95 for Kev-9B on an H100 and $6.25 for Kev-27B on a B200 while a container is up, scaling to zero after five idle minutes (https://github.com/jaredpalmer/kev/blob/main/skills/kev-deploy/SKILL.md). Those are Modal's GPU rates as the skill records them, not a Kev price.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. Kev is software you run, and its server has no payment route (checked 2026-10-02).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-02" }, "docsUrl": "https://github.com/jaredpalmer/kev#readme", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python" ], "lastRelease": "2026-10-01", "graded": true, "anchor": { "graded": true, "score": 67.4, "grade": "B", "agentReady": false, "rank": 235, "ranked": true, "rankOf": 842, "categoryRank": 4, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 78, "maintenance": 83, "payments": 60, "reliability": 73, "schema": 77, "security": 49, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv.", "bestFor": "Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.", "strengths": [ "Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models", "The same `/v1/systemone` request and answer shapes as Jev, and the README says TypeSafe's Python SDK works against it unchanged", "A fitted temperature per checkpoint, with Brier scores, calibration error and confident-error rates published for each model", "Runs on CUDA, ROCm and Apple Silicon, from a 4 GB GPU for Kev-0.8B to one 80 GB GPU for Kev-27B, and deploys to Modal with one command", "Release notes that list known failures with numbers, such as date arithmetic and Kev-0.8B's tool-routing accuracy" ], "weaknesses": [ "No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv", "Kev-0.8B, 4B and 9B are validated to 8,192 tokens of state, though the server accepts 65,536", "Jared Palmer wrote 312 of the 333 commits we cloned", "No SECURITY.md, disclosure policy or advisories, and the server is open unless `KEV_API_KEY` is set", "Below 27B it trails Jev on knowledge questions and date arithmetic, with MMLU-Pro at 0.59 for Kev-9B against Jev's 0.84" ], "agentNotes": [ "Install from the repository. The `kev` package on PyPI is an unrelated project", "Pin a checkpoint with `@v1.0`, as in `jaredpalmer/kev-4b@v1.0`, so tuned thresholds keep their meaning", "Keep states under 8,192 tokens on Kev-0.8B, 4B and 9B, or use Kev-27B for long documents", "Set `KEV_DATE_FACTS=1` when a decision depends on the gap between two dates", "Expect a 422 naming the token count when a state passes 65,536 tokens. The server refuses it instead of cutting it" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 67.4 } ], "editorialScores": { "ergonomics": 78, "maintenance": 83, "payments": 60, "reliability": 73, "schema": 77, "security": 49, "transparency": 70 }, "provenanceScore": 27 }, "connect": { "install": "git clone https://github.com/jaredpalmer/kev.git \u0026\u0026 cd kev \u0026\u0026 uv sync --extra serve\nuv run --extra serve python -m kev.serve --run jaredpalmer/kev-4b@v1.0 --port 8009", "http": "curl -s localhost:8009/v1/systemone -H 'content-type: application/json' \\\n -d '{\"model\":\"kev-latest\",\"state\":\"Checkout has failed for every customer for an hour.\",\"questions\":{\"urgent\":{\"type\":\"noul\",\"instructions\":\"Is this request urgent?\"},\"team\":{\"type\":\"choice\",\"criteria\":{\"billing\":\"Payments and refunds\",\"technical\":\"Outages and errors\"}}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/jaredpalmer-kev" }, "area": "models", "provenance": { "legalEntity": "", "domain": "github.com/jaredpalmer", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/jaredpalmer/kev/releases", "securityTxt": "none", "checked": "2026-10-01", "notes": [ "An individual's open-source project under Apache-2.0, with no company named in the licence, README or package metadata. The pyproject names Jared Palmer as author.", "No vendor domain. The code is at github.com/jaredpalmer/kev and the weights at huggingface.co/jaredpalmer, so the domain line names the GitHub account and scores no domain age.", "Software you run, so there's no hosted endpoint, terms or privacy policy to check.", "The changelog is the GitHub releases page (`kev-1.0`, 1 October 2026) and docs/releases/kev-1.0.md." ], "score": 27 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/jaredpalmer-kev.json", "live": { "slug": "jaredpalmer-kev", "versions": [ { "registry": "github", "name": "jaredpalmer/kev", "version": "kev-1.0", "released": "2026-10-01", "seenAt": "2026-10-08T16:17:19.912761154Z" } ], "githubStars": 8720, "domain": { "domain": "github.com/jaredpalmer", "checkedAt": "2026-10-04T13:10:21.931207592Z" }, "updatedAt": "2026-10-08T16:17:19.912761154Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Celeris (Marqo Inc)", "b": "Jared Palmer", "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, adapters 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": "2026-10-01", "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": "3.5/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Kev scores 67.4 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Celeris-1 Decision or Kev?" }, { "answer": "Celeris-1 Decision, at free against free for Kev. These are the vendors' published prices for the job.", "question": "Which is cheaper for inference decision, Celeris-1 Decision or Kev?" }, { "answer": "Celeris-1 Decision needs an API key. Kev needs no key.", "question": "Do Celeris-1 Decision and Kev 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 Kev.", "question": "Can an agent call Celeris-1 Decision and Kev without installing anything?" }, { "answer": "No open-source release is listed for Celeris-1 Decision. Kev is open source (Apache-2.0 (code, adapters and weights)).", "question": "Are Celeris-1 Decision and Kev open source?" } ], "goodFor": [ { "aheadOn": null, "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, 73 against 40", "Schema \u0026 documentation, 77 against 60", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 83 against 40" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.", "slug": "jaredpalmer-kev", "watchFor": "No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv" } ], "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-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-jaredpalmer-kev.json", "title": "Clef vs Kev", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.json", "title": "Laya vs Kev", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev" }, { "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/gliclass-vs-jaredpalmer-kev.json", "title": "GLiClass vs Kev", "url": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.json", "title": "Kev vs Liquid d1", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.json", "title": "Kev vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api" }, { "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/jaredpalmer-kev-vs-typesafe-jev.json", "title": "Kev vs Jev", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.json", "title": "Kev vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela" } ], "scores": [ { "by": 33, "celeris-1-decision": 40, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 73, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 17, "celeris-1-decision": 60, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 77, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 2, "celeris-1-decision": 80, "edge": "celeris-1-decision", "jaredpalmer-kev": 78, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 4, "celeris-1-decision": 45, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 49, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 40, "celeris-1-decision": 20, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 60, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 43, "celeris-1-decision": 40, "edge": "jaredpalmer-kev", "jaredpalmer-kev": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 4, "celeris-1-decision": 53, "edge": "celeris-1-decision", "jaredpalmer-kev": 49, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Kev scores 67.4 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 5 of 7 scored categories. 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.", "jaredpalmer-kev": "Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev", "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.md", "slim": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.min.md" }, "markdown": "Kev scores 67.4 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 5 of 7 scored categories. 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- Kev: grade B, 67.4/100, rank #235 of 842. Markdown https://www.anchorterminal.com/tools/jaredpalmer-kev.md · JSON https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.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\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### Kev (B)\n\nGood for: Self-hosted classification, routing, triage and rubric scoring where a probability matters, especially for teams already calling Jev who want the same API on their own hardware.\n\nAhead on:\n- Reliability, 73 against 40\n- Schema \u0026 documentation, 77 against 60\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 83 against 40\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv\n\n\n## Score by category\n\n| Category | Weight | Celeris-1 Decision | Kev | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 73 | Kev +33 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 77 | Kev +17 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 78 | Celeris-1 Decision +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 49 | Kev +4 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 60 | Kev +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 83 | Kev +43 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 49 | Celeris-1 Decision +4 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **49.3 · D** | **67.4 · B** | |\n\n## Facts side by side\n\n| Fact | Celeris-1 Decision | Kev |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Celeris (Marqo Inc) | Jared Palmer |\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, adapters and weights) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-08 | 2026-10-01 |\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 | 3.5/5 (2) |\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**Kev.** Apache-2.0 code, adapters and heads on Apache-2.0 Qwen bases, with release tarballs and SHA-256 checksums for the 0.8B, 4B and 9B models. No package. `pip install kev` installs an unrelated 2021 ORM, so Kev runs from a Git clone with uv.\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### Kev\n\n1. Install from the repository. The `kev` package on PyPI is an unrelated project\n2. Pin a checkpoint with `@v1.0`, as in `jaredpalmer/kev-4b@v1.0`, so tuned thresholds keep their meaning\n3. Keep states under 8,192 tokens on Kev-0.8B, 4B and 9B, or use Kev-27B for long documents\n4. Set `KEV_DATE_FACTS=1` when a decision depends on the gap between two dates\n5. Expect a 422 naming the token count when a state passes 65,536 tokens. The server refuses it instead of cutting it\n\n## Questions\n\n### Which is better for AI agents, Celeris-1 Decision or Kev?\n\nKev scores 67.4 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 5 of 7 scored categories.\n\n### Which is cheaper for inference decision, Celeris-1 Decision or Kev?\n\nCeleris-1 Decision, at free against free for Kev. These are the vendors' published prices for the job.\n\n### Do Celeris-1 Decision and Kev need an API key?\n\nCeleris-1 Decision needs an API key. Kev needs no key.\n\n### Can an agent call Celeris-1 Decision and Kev 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 Kev.\n\n### Are Celeris-1 Decision and Kev open source?\n\nNo open-source release is listed for Celeris-1 Decision. Kev is open source (Apache-2.0 (code, adapters and weights)).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.json, and with the fewest tokens: https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"celeris-1-decision\", \"b\": \"jaredpalmer-kev\"}`. From a terminal: `anchor compare celeris-1-decision jaredpalmer-kev`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/celeris-1-decision.json and https://www.anchorterminal.com/api/v1/tools/jaredpalmer-kev.json\n\n## Other comparisons with Celeris-1 Decision or Kev\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 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 Kev](https://www.anchorterminal.com/compare/cloudflare-clef-vs-jaredpalmer-kev.md)\n- [Laya vs Kev](https://www.anchorterminal.com/compare/convai-laya-vs-jaredpalmer-kev.md)\n- [Decider vs Kev](https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.md)\n- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Kev vs Jev](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-typesafe-jev.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-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 Kev", "url": "" } ], "description": "Kev scores 67.4 (B) on agent readiness against Celeris-1 Decision's 49.3 (D), and leads in 5 of 7 scored categories. Both do inference decision. Celeris-1 Decision is cheaper for inference decision, $0 against $0 per 1M tokens. Category scores, facts, verdicts and agent notes…", "facts": [ "Celeris-1 Decision D 49.3", "Kev B 67.4", "scores" ], "h1": "Celeris-1 Decision vs Kev", "image": "https://www.anchorterminal.com/assets/og/compare-celeris-1-decision-vs-jaredpalmer-kev.png", "path": "/compare/celeris-1-decision-vs-jaredpalmer-kev", "published": "2026-10-01", "section": "tools", "title": "Celeris-1 Decision vs Kev for AI agents, D 49.3 vs B 67.4", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-jaredpalmer-kev" }, "tokens": { "markdown": 2350, "slim": 730 }, "version": 1 }