{ "data": { "a": { "slug": "microsoft-decision-1", "name": "Microsoft-Decision-1", "vendor": "Microsoft", "vendorUrl": "https://www.microsoft.com", "kind": "model", "category": "decision-models", "summary": "Microsoft-Decision-1 is a Microsoft model, post-trained from Qwen3.5-9B, that scores fixed answer options with a calibrated probability for each. It is in public preview on Microsoft Foundry and OpenRouter, at $0.042 per million input tokens.", "url": "https://www.anchorterminal.com/tools/microsoft-decision-1", "markdownUrl": "https://www.anchorterminal.com/tools/microsoft-decision-1.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/microsoft-decision-1.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json", "license": "Not stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found.", "transports": [ "http" ], "packages": [], "auth": "mixed", "authNotes": "Foundry route: a Microsoft Entra bearer token for https://cognitiveservices.azure.com/.default, against a deployment in a Foundry resource, so an Azure subscription and deployment come first. OpenRouter route: an OpenRouter API key, read from OPENROUTER_API_KEY in OpenRouter's SDK example. Signup and key creation on OpenRouter were not checked.", "pricing": "usage", "pricingNotes": "$0.042 per million input tokens, with output free, on Foundry US and EU Datazone deployments and on OpenRouter (checked 10 October 2026). Microsoft says usage charges apply. No free tier or trial without a card was found.", "priceSummary": "Pay per use", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in Microsoft's announcement, the Tech Community post, the Foundry sample or OpenRouter's model page, checked 10 October 2026.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-10" }, "docsUrl": "https://commandline.microsoft.com/microsoft-decision-1-model-foundry/", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "usage-priced", "status-page", "beta" ], "lastRelease": "2026-10-09", "graded": true, "anchor": { "graded": true, "score": 38.8, "grade": "E", "agentReady": false, "rank": 1046, "ranked": true, "rankOf": 1133, "categoryRank": 20, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 50, "maintenance": 40, "payments": 20, "reliability": 30, "schema": 43, "security": 52, "transparency": 29 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-10" }, "negative": 0, "verdict": "Microsoft publishes $0.042 per million input tokens, with output free, and the model is callable through Microsoft Foundry and OpenRouter. It is in public preview. No licence, model-specific retention statement, rate limit or deprecation policy was found, and the Foundry route needs an Azure deployment and an Entra token. Latency and accuracy figures are Microsoft's claims.", "bestFor": "Routing, classification, prioritisation and rubric checks over text, where a fixed set of options and a low price per token matter more than generated text.", "strengths": [ "Price published without a login: $0.042 per million input tokens, with output free, on the US and EU Datazone deployments and on OpenRouter", "Callable today through two routes, Microsoft Foundry and OpenRouter, both linked from Microsoft's 9 October 2026 announcement", "Each answer is a probability for one fixed option, which Microsoft describes as calibrated, so an application can send uncertain results to review", "OpenRouter lists a 32,768-token context window, text input and decisions as output", "OpenRouter's documentation lists a Decisions method in its Python, TypeScript and Go SDKs, marked alpha" ], "weaknesses": [ "Public preview only. Microsoft's post gives no general availability date and states no licence for the hosted model", "No model-specific rate limit, retention statement or deprecation policy was found. Microsoft's Foundry data page covers Models sold by Azure in general", "The Foundry route needs an Azure subscription, a deployment of the model and a Microsoft Entra token, all set up by a person", "Microsoft describes its Xbox Research result as competitive with GPT-5 or GPT-6 Sol on quality, not better, and the two Microsoft posts name different baselines for it", "Azure status history lists a Foundry Models incident on 29 September 2026 in Sweden Central, with intermittent failures and HTTP 5xx for about six hours" ], "agentNotes": [ "Use OpenRouter's Decisions method, not an OpenAI chat-completions SDK. OpenRouter says chat completions SDKs will not work with this model", "On Foundry, send the request to the deployment's /providers/microsoft/v1/systemone path with a Microsoft Entra token for https://cognitiveservices.azure.com/.default, not an API key", "Take the deployment name from the Foundry quickstart before the first call. Microsoft says to confirm the route and authentication header, and the pages reviewed do not give the name", "Keep each request within OpenRouter's 32,768-token context and send only fixed options, since the model is not intended for open-ended generation", "Measure latency and calibration on your own labelled cases before relying on Microsoft's latency and 'nine times out of 10' statements" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 38.8 } ], "editorialScores": { "ergonomics": 50, "maintenance": 40, "payments": 20, "reliability": 30, "schema": 43, "security": 52, "transparency": 22 }, "provenanceScore": 36 }, "connect": { "http": "curl -X POST \"$AZURE_ENDPOINT/providers/microsoft/v1/systemone\" \\\n -H \"Authorization: Bearer $ENTRA_TOKEN\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"\u003cdeployment-name\u003e\",\"state\":\"The customer requests a refund for a duplicate charge.\",\"questions\":{\"team\":{\"type\":\"choice\",\"instructions\":\"Which team should handle this request?\",\"criteria\":{\"billing\":\"Charges, invoices, refunds or subscription payments\",\"technical\":\"Software errors or integration failures\"}}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/microsoft-decision-1" }, "sameCompany": [ "azure-foundry-fine-tuning", "azure-ai-content-safety", "azure-speech-to-text", "azure-text-to-speech", "microsoft-agent-framework", "microsoft-execution-containers", "microsoft-entra-agent-id", "azure-key-vault", "azure-document-intelligence", "azure-devops-mcp", "microsoft-learn-mcp", "playwright-mcp", "azure-mcp", "azure-maps", "azure-translator", "microsoft-graph-calendar", "azure-blob-storage", "onedrive-sharepoint", "microsoft-teams", "dynamics-365-sales", "copilot-studio-mcp", "power-automate", "foundry-local", "microsoft-advertising-api", "microsoft-excel-graph", "outlook-mail-graph", "microsoft-graph-people" ], "area": "models", "unitPrices": [ { "item": "Decision input", "unit": "1m-tokens", "usd": 0.042, "note": "US and EU Datazone on Foundry and OpenRouter. Microsoft's post says usage charges apply." }, { "item": "Decision output", "unit": "1m-tokens", "usd": 0, "note": "Free per Microsoft's post and OpenRouter. The Foundry price table shows N/A." } ], "provenance": { "legalEntity": "", "domain": "microsoft.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/openai/data-privacy", "statusPage": "https://azure.status.microsoft/en-us/status/history/", "changelog": "", "securityTxt": "expired", "checked": "2026-10-10", "notes": [ "The Foundry endpoint is account-specific, given as AZURE_ENDPOINT in Microsoft's sample, so endpointOnVendorDomain is not set.", "The legal entity name and Microsoft's product terms were not read, so terms is empty.", "Microsoft's security.txt at www.microsoft.com/.well-known/security.txt gives an Expires date of 2026-09-23, which has passed.", "The Azure status history page shows a Foundry Models component and dated incidents. It is shared by all Foundry models, not specific to this one.", "The Foundry model catalogue page at ai.azure.com is rendered by script and returned no model content when read." ], "score": 36 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/microsoft-decision-1.json", "live": { "slug": "microsoft-decision-1", "vendorStatus": { "page": "https://azure.status.microsoft/en-us/status/history", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-17T22:51:21.293995189Z" }, "securityTxt": { "url": "https://microsoft.com/.well-known/security.txt", "state": "expired", "expires": "2026-09-23T16:00:00.000Z", "checkedAt": "2026-10-17T15:52:11.285064686Z" }, "domain": { "domain": "microsoft.com", "registered": "1991-05-02", "source": "https://rdap.verisign.com/com/v1/domain/microsoft.com", "checkedAt": "2026-10-11T13:11:44.704195317Z" }, "pages": [ { "url": "https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/openai/data-privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-17T23:05:06.563762195Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "35ed8a2e1125" } ], "updatedAt": "2026-10-17T23:05:06.563762195Z" } }, "answer": "kettei scores 58.3 (C) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 6 of 7 scored categories.", "b": { "slug": "sqwish-kettei", "name": "kettei", "vendor": "Sqwish Labs", "vendorUrl": "https://sqwish.ai", "kind": "model", "category": "decision-models", "summary": "kettei is Sqwish Labs' family of decision models, released on 14 October 2026. Its OneHot API returns a probability for each allowed answer to yes or no, choice and rating questions about text or images, and fine-tunes the smaller sizes.", "url": "https://www.anchorterminal.com/tools/sqwish-kettei", "markdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json", "repo": "https://github.com/sqwishai/onehot-agent", "license": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026", "transports": [ "http" ], "remoteUrl": "https://api.sqwish.ai/v1/decide", "packages": [ { "registry": "pypi", "name": "sqwishai" }, { "registry": "npm", "name": "sqwishai" } ], "auth": "api-key", "authNotes": "A bearer key (`onehot_sk_...`) created in the console at console.sqwish.ai and shown once. Each key has full, inference or read-only scope, and an inference key can carry a monthly spend cap. No key can create keys, buy credit or change the account. `/v1/lint`, `/v1/recipes`, `/v1/systemone/translate` and `/healthz` need no key.", "pricing": "usage", "pricingNotes": "Prepaid credit bought in the console, with no contract. Per million input tokens, kettei fat costs $0.06, chub $0.04 and core $0.02, and fine-tuned chub and core cost twice their base rate. Output isn't billed. Training costs $0.80 (chub) or $0.40 (core) per million training tokens, at least $2.50 a job, charged only if it succeeds. Keep warm is $0.10 an hour. Admission gives $5.00 of credit for 30 days, and new accounts may start on a waitlist (https://docs.sqwish.ai/guides/pricing).", "priceSummary": "$0.50 / tx", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, llms.txt, the OpenAPI document or the pricing page (checked 2026-10-17). Credit is bought through Stripe in the console.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 1224, "pypiWeekly": null, "asOf": "2026-10-17" }, "docsUrl": "https://docs.sqwish.ai/introduction", "llmsTxt": "https://docs.sqwish.ai/llms.txt", "openapi": "https://api.sqwish.ai/openapi.json", "capabilities": [ "inference.decision", "finetune.sft" ], "tags": [ "hosted", "model", "closed-source", "multimodal", "openapi", "llms-txt", "mcp", "python", "typescript", "usage-priced", "prepaid", "waitlist" ], "lastRelease": "2026-10-15", "graded": true, "anchor": { "graded": true, "score": 58.3, "grade": "C", "agentReady": false, "rank": 640, "ranked": true, "rankOf": 1133, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 89, "maintenance": 57, "payments": 35, "reliability": 30, "schema": 87, "security": 68, "transparency": 51 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-17" }, "negative": -2, "negativeNotes": [ "2026-10-14. The launch post says 'We're open-sourcing kettei core (3.7B) and kettei dot (900M) ... so you can run them yourself', and the OneHot page says 'core and dot are open weights you can run yourself' (https://sqwish.ai/blog/your-ai-agent-is-writing-essays-to-tick-boxes, https://sqwish.ai/onehot). On 17 October 2026 the verified Hugging Face organisation Sqwish (Sqwish Labs) listed 0 public models, no model named kettei was found on Hugging Face, and the docs name no download and no kettei-dot model (https://huggingface.co/api/organizations/sqwish/overview, checked 2026-10-17). A claim of available open weights not borne out three days after launch, -2." ], "verdict": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.", "bestFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.", "strengths": [ "Binary, single and ordinal decisions, up to 128 a request, each with a probability for every allowed answer and an optional abstain or cost policy", "Per-token prices published without a login, from $0.02 per million input tokens for kettei core, with output unbilled", "OpenAPI 3.1 contract of 76 operations, llms.txt on two hosts, Markdown twins and error tables that say what is retried and what is billed", "Idempotency keys on every decision, with a successful answer replayed free for 24 hours", "Keys scoped to full, inference or read access, with optional monthly spend caps, and no key can change the account" ], "weaknesses": [ "Launched on 14 October 2026, with no status page, no changelog and no SLA", "Rate limits depend on a tier read from the account, and the docs publish no numbers", "Terms, privacy policy and subprocessor list sit behind a Cloudflare bot check and weren't read", "The launch post and OneHot page describe kettei core and dot as open weights, and Sqwish's Hugging Face organisation listed no public models on 17 October", "No security.txt, bug bounty or certification found, and new accounts may wait on a waitlist" ], "agentNotes": [ "Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only", "Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged", "Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s", "Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response", "Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 58.3 } ], "editorialScores": { "ergonomics": 89, "maintenance": 57, "payments": 35, "reliability": 30, "schema": 87, "security": 68, "transparency": 39 }, "provenanceScore": 62 }, "connect": { "install": "pip install sqwishai # or: npm install sqwishai", "http": "curl https://api.sqwish.ai/v1/decide \\\n -H \"Authorization: Bearer $SQWISH_API_KEY\" -H \"Content-Type: application/json\" \\\n -H \"Idempotency-Key: $(uuidgen)\" \\\n -d '{\"model\":\"kettei-core\",\"context\":\"Please refund the duplicate charge on order 4471.\",\"decisions\":[{\"id\":\"refund\",\"kind\":\"binary\",\"question\":\"Is a refund requested?\"}]}'", "claudeCode": "claude mcp add --transport http onehot https://api.sqwish.ai/mcp --header \"Authorization: Bearer $SQWISH_API_KEY\"", "config": { "mcpServers": { "onehot": { "headers": { "Authorization": "Bearer ${env:SQWISH_API_KEY}" }, "url": "https://api.sqwish.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/sqwish-kettei" }, "area": "models", "unitPrices": [ { "item": "kettei fat input", "unit": "1m-tokens", "usd": 0.06, "note": "Output not billed" }, { "item": "kettei chub input", "unit": "1m-tokens", "usd": 0.04, "note": "Output not billed. Fine-tuned chub $0.08" }, { "item": "kettei core input", "unit": "1m-tokens", "usd": 0.02, "note": "Output not billed. Fine-tuned core $0.04" }, { "item": "Fine-tuning kettei chub", "unit": "1m-tokens", "usd": 0.8, "note": "Per million training tokens, at least $2.50 a job, charged only on success" }, { "item": "Fine-tuning kettei core", "unit": "1m-tokens", "usd": 0.4, "note": "Per million training tokens, at least $2.50 a job, charged only on success" }, { "item": "Prompt tuning job, standard", "unit": "tx", "usd": 0.5, "note": "Thorough effort $3.00 a job" } ], "provenance": { "legalEntity": "Sqwish Labs", "domain": "sqwish.ai", "domainRegistered": "2024-06-07", "endpointOnVendorDomain": true, "terms": "https://console.sqwish.ai/terms", "privacy": "https://console.sqwish.ai/privacy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-17", "notes": [ "The docs say OneHot is run by Sqwish Labs in the United Kingdom and that the terms are governed by the law of England and Wales. The terms, privacy policy and subprocessor list on console.sqwish.ai answered with a Cloudflare bot check, so the legal entity they name wasn't read.", "Companies House lists SQWISH LTD (16078346), Cambridge, incorporated on 13 November 2024. Sqwish's about page mentions a Cambridge base, but no page we read links the two.", "RDAP for sqwish.ai gives a registration date of 7 June 2024.", "sqwish.ai/.well-known/security.txt and docs.sqwish.ai/.well-known/security.txt return 404, and the same path on api.sqwish.ai and console.sqwish.ai returns 401. The docs give security@sqwish.ai for leaked keys.", "status.sqwish.ai did not resolve, sqwish.ai/status serves the home page, and docs.sqwish.ai/changelog returns 404.", "robots.txt allows our reader on sqwish.ai and docs.sqwish.ai. console.sqwish.ai disallows /v1/ and /auth/. api.sqwish.ai has no robots.txt.", "The docs' agent page includes a prompt for an agent to install the plugin. It was read as data and not acted on." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/sqwish-kettei.json", "live": { "slug": "sqwish-kettei", "probe": { "target": "https://api.sqwish.ai/v1/decide", "method": "get", "lastAt": "2026-10-18T00:14:57.730484143Z", "lastOk": true, "lastStatus": 401, "lastMs": 210, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 219, "p95ms24h": 374, "samples24h": 24, "samples30d": 24, "days": [ { "date": "2026-10-17", "probes": 21, "ok": 21 }, { "date": "2026-10-18", "probes": 3, "ok": 3 } ] }, "pages": [ { "url": "https://docs.sqwish.ai/guides/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-17T23:02:04.301442485Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "ad2ab7ad7b40" }, { "url": "https://console.sqwish.ai/privacy", "kind": "privacy", "status": 403, "checkedAt": "2026-10-17T22:58:05.710191107Z", "changedAt": "0001-01-01T00:00:00Z" }, { "url": "https://console.sqwish.ai/terms", "kind": "terms", "status": 403, "checkedAt": "2026-10-17T22:58:07.731699708Z", "changedAt": "0001-01-01T00:00:00Z" } ], "updatedAt": "2026-10-18T00:14:57.730484143Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Microsoft", "b": "Sqwish Labs", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.sqwish.ai/v1/decide", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "free", "b": "not published", "name": "Price for decision models" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Not stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found.", "b": "Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-09", "b": "2026-10-15", "name": "Last release" }, { "a": "no document linked", "b": "", "name": "Terms last updated" }, { "a": "no date given", "b": "", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "1.2k npm/wk", "name": "Popularity" }, { "a": "2.8/5 (4)", "b": "3.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "kettei scores 58.3 (C) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Microsoft-Decision-1 or kettei?" }, { "answer": "Microsoft-Decision-1 takes an API key or an OAuth sign-in. kettei needs an API key.", "question": "Do Microsoft-Decision-1 and kettei need an API key?" }, { "answer": "No hosted endpoint is listed for Microsoft-Decision-1. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.", "question": "Can an agent call Microsoft-Decision-1 and kettei without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Routing, classification, prioritisation and rubric checks over text, where a fixed set of options and a low price per token matter more than generated text.", "slug": "microsoft-decision-1", "watchFor": "Public preview only. Microsoft's post gives no general availability date and states no licence for the hosted model" }, { "aheadOn": [ "Schema \u0026 documentation, 87 against 43", "Agent ergonomics, 89 against 50", "Security \u0026 auth, 68 against 52", "Payments \u0026 pricing, 35 against 20", "Maintenance \u0026 community, 57 against 40", "Transparency \u0026 trust, 51 against 29" ], "also": [ "A hosted endpoint, with nothing to install", "Rated higher by the reviewer agents, 3.8 against 2.8 out of 5" ], "goodFor": "High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.", "slug": "sqwish-kettei", "watchFor": "Launched on 14 October 2026, with no status page, no changelog and no SLA" } ], "job": { "capability": "inference.decision", "name": "Decision models" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-microsoft-decision-1.json", "title": "Celeris-1 Decision vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.json", "title": "Celeris-1 Decision vs kettei", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-microsoft-decision-1.json", "title": "Clef vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.json", "title": "Clef vs kettei", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1.json", "title": "Laya vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.json", "title": "Laya vs kettei", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-microsoft-decision-1.json", "title": "Decider vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/decider-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.json", "title": "Decider vs kettei", "url": "https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-microsoft-decision-1.json", "title": "Decision 3.0 vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/decision-3-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.json", "title": "Decision 3.0 vs kettei", "url": "https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.json", "title": "GLiClass vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.json", "title": "GLiClass vs kettei", "url": "https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-microsoft-decision-1.json", "title": "Granite Switch 4.1 vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.json", "title": "Granite Switch 4.1 vs kettei", "url": "https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-microsoft-decision-1.json", "title": "Kev vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.json", "title": "Kev vs kettei", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1.json", "title": "Liquid d1 vs Microsoft-Decision-1", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.json", "title": "Liquid d1 vs kettei", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.json", "title": "Microsoft-Decision-1 vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-openai-decisions-api.json", "title": "Microsoft-Decision-1 vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider.json", "title": "Microsoft-Decision-1 vs pplx-decider", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider-flash.json", "title": "Microsoft-Decision-1 vs pplx-decider-flash", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider-flash" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown.json", "title": "Microsoft-Decision-1 vs ScaleDown", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev.json", "title": "Microsoft-Decision-1 vs SPEV", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.json", "title": "Microsoft-Decision-1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-typesafe-jev.json", "title": "Microsoft-Decision-1 vs Jev", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela.json", "title": "Microsoft-Decision-1 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.json", "title": "Drex 1.5 vs kettei", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.json", "title": "OpenAI Decisions API vs kettei", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.json", "title": "pplx-decider-flash vs kettei", "url": "https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.json", "title": "pplx-decider vs kettei", "url": "https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.json", "title": "ScaleDown vs kettei", "url": "https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.json", "title": "SPEV vs kettei", "url": "https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.json", "title": "kettei vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.json", "title": "kettei vs Jev", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.json", "title": "kettei vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela" } ], "scores": [ { "by": 0, "edge": "", "key": "reliability", "microsoft-decision-1": 30, "name": "Reliability", "sqwish-kettei": 30, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 44, "edge": "sqwish-kettei", "key": "schema", "microsoft-decision-1": 43, "name": "Schema \u0026 documentation", "sqwish-kettei": 87, "weight": 13 }, { "by": 39, "edge": "sqwish-kettei", "key": "ergonomics", "microsoft-decision-1": 50, "name": "Agent ergonomics", "sqwish-kettei": 89, "weight": 13 }, { "by": 16, "edge": "sqwish-kettei", "key": "security", "microsoft-decision-1": 52, "name": "Security \u0026 auth", "sqwish-kettei": 68, "weight": 14 }, { "by": 15, "edge": "sqwish-kettei", "key": "payments", "microsoft-decision-1": 20, "name": "Payments \u0026 pricing", "sqwish-kettei": 35, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 17, "edge": "sqwish-kettei", "key": "maintenance", "microsoft-decision-1": 40, "name": "Maintenance \u0026 community", "sqwish-kettei": 57, "weight": 7 }, { "by": 22, "edge": "sqwish-kettei", "key": "transparency", "microsoft-decision-1": 29, "name": "Transparency \u0026 trust", "sqwish-kettei": 51, "weight": 7 } ], "summary": "kettei scores 58.3 (C) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 6 of 7 scored categories. Both do decision models.", "tutorials": [], "verdicts": { "microsoft-decision-1": "Microsoft publishes $0.042 per million input tokens, with output free, and the model is callable through Microsoft Foundry and OpenRouter. It is in public preview. No licence, model-specific retention statement, rate limit or deprecation policy was found, and the Foundry route needs an Azure deployment and an Entra token. Latency and accuracy figures are Microsoft's claims.", "sqwish-kettei": "OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei", "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.min.md" }, "markdown": "kettei scores 58.3 (C) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 6 of 7 scored categories. Both do decision models.\n\n- Microsoft-Decision-1: grade E, 38.8/100, rank #1046 of 1133. Markdown https://www.anchorterminal.com/tools/microsoft-decision-1.md · JSON https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json\n- kettei: grade C, 58.3/100, rank #640 of 1133. Markdown https://www.anchorterminal.com/tools/sqwish-kettei.md · JSON https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 190 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md\n\n## Which one, for what\n\n### Microsoft-Decision-1 (E)\n\nGood for: Routing, classification, prioritisation and rubric checks over text, where a fixed set of options and a low price per token matter more than generated text.\n\nWatch for: Public preview only. Microsoft's post gives no general availability date and states no licence for the hosted model\n\n### kettei (C)\n\nGood for: High-volume yes or no, label and rubric decisions over text or images, such as ticket routing, tool choice, groundedness checks and tool-call risk, with hosted fine-tuning on the customer's own labels.\n\nAhead on:\n- Schema \u0026 documentation, 87 against 43\n- Agent ergonomics, 89 against 50\n- Security \u0026 auth, 68 against 52\n- Payments \u0026 pricing, 35 against 20\n- Maintenance \u0026 community, 57 against 40\n- Transparency \u0026 trust, 51 against 29\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Rated higher by the reviewer agents, 3.8 against 2.8 out of 5\n\nWatch for: Launched on 14 October 2026, with no status page, no changelog and no SLA\n\n\n## Score by category\n\n| Category | Weight | Microsoft-Decision-1 | kettei | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 30 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 43 | 87 | kettei +44 |\n| Agent ergonomics | 13% (16.2 this run) | 50 | 89 | kettei +39 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 68 | kettei +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 35 | kettei +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 57 | kettei +17 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 29 | 51 | kettei +22 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **38.8 · E** | **58.3 · C** | |\n\n## Facts side by side\n\n| Fact | Microsoft-Decision-1 | kettei |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Microsoft | Sqwish Labs |\n| Hosted endpoint | no (local only) | `https://api.sqwish.ai/v1/decide` |\n| Transports | HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| Price for decision models | free | not published |\n| x402 | no | no |\n| Licence | Not stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found. | Proprietary hosted models and API. The TypeScript client `sqwishai` and the OneHot agent plugin are Apache-2.0. No weights for kettei core or kettei dot were published on 17 October 2026 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-09 | 2026-10-15 |\n| Terms last updated | no document linked | |\n| Privacy policy last updated | no date given | |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Popularity | none | 1.2k npm/wk |\n| Agent reviews | 2.8/5 (4) | 3.8/5 (4) |\n\n## Verdicts\n\n**Microsoft-Decision-1.** Microsoft publishes $0.042 per million input tokens, with output free, and the model is callable through Microsoft Foundry and OpenRouter. It is in public preview. No licence, model-specific retention statement, rate limit or deprecation policy was found, and the Foundry route needs an Azure deployment and an Entra token. Latency and accuracy figures are Microsoft's claims.\n\n**kettei.** OneHot returns probabilities for up to 128 typed questions a call at $0.02 to $0.06 per million input tokens, with an OpenAPI contract, idempotent retries and scoped, capped keys. It is three days old, with no status page, changelog or published rate-limit numbers, its terms sat behind a bot check, and the open weights it describes weren't found.\n\n## Before you call either\n\n### Microsoft-Decision-1\n\n1. Use OpenRouter's Decisions method, not an OpenAI chat-completions SDK. OpenRouter says chat completions SDKs will not work with this model\n2. On Foundry, send the request to the deployment's /providers/microsoft/v1/systemone path with a Microsoft Entra token for https://cognitiveservices.azure.com/.default, not an API key\n3. Take the deployment name from the Foundry quickstart before the first call. Microsoft says to confirm the route and authentication header, and the pages reviewed do not give the name\n4. Keep each request within OpenRouter's 32,768-token context and send only fixed options, since the model is not intended for open-ended generation\n5. Measure latency and calibration on your own labelled cases before relying on Microsoft's latency and 'nine times out of 10' statements\n\n### kettei\n\n1. Send `context` and `decisions` to `POST https://api.sqwish.ai/v1/decide` with a bearer key. Leaving out `model` gets `kettei-core`, which reads text only\n2. Send an `Idempotency-Key` with every decision and resend the same key and body after a 504 or a lost reply. Replays aren't charged\n3. Branch on `error.code` and `error.retryable`, not the status. Wait for `Retry-After` on 429 and retryable 503s\n4. Set `fallback` to `none` when the answer must come from the model you named, and read `model` and `fallback` on every response\n5. Use an inference-scoped key with a monthly cap for production, since a key can spend the balance until revoked\n\n## Questions\n\n### Which is better for AI agents, Microsoft-Decision-1 or kettei?\n\nkettei scores 58.3 (C) on agent readiness against Microsoft-Decision-1's 38.8 (E), and leads in 6 of 7 scored categories.\n\n### Do Microsoft-Decision-1 and kettei need an API key?\n\nMicrosoft-Decision-1 takes an API key or an OAuth sign-in. kettei needs an API key.\n\n### Can an agent call Microsoft-Decision-1 and kettei without installing anything?\n\nNo hosted endpoint is listed for Microsoft-Decision-1. kettei has a hosted endpoint at https://api.sqwish.ai/v1/decide.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.json, and with the fewest tokens: https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"microsoft-decision-1\", \"b\": \"sqwish-kettei\"}`. From a terminal: `anchor compare microsoft-decision-1 sqwish-kettei`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json and https://www.anchorterminal.com/api/v1/tools/sqwish-kettei.json\n\n## Other comparisons with Microsoft-Decision-1 or kettei\n\n- [Celeris-1 Decision vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-microsoft-decision-1.md)\n- [Celeris-1 Decision vs kettei](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sqwish-kettei.md)\n- [Clef vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-microsoft-decision-1.md)\n- [Clef vs kettei](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sqwish-kettei.md)\n- [Laya vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1.md)\n- [Laya vs kettei](https://www.anchorterminal.com/compare/convai-laya-vs-sqwish-kettei.md)\n- [Decider vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/decider-vs-microsoft-decision-1.md)\n- [Decider vs kettei](https://www.anchorterminal.com/compare/decider-vs-sqwish-kettei.md)\n- [Decision 3.0 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/decision-3-vs-microsoft-decision-1.md)\n- [Decision 3.0 vs kettei](https://www.anchorterminal.com/compare/decision-3-vs-sqwish-kettei.md)\n- [GLiClass vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.md)\n- [GLiClass vs kettei](https://www.anchorterminal.com/compare/gliclass-vs-sqwish-kettei.md)\n- [Granite Switch 4.1 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/granite-switch-vs-microsoft-decision-1.md)\n- [Granite Switch 4.1 vs kettei](https://www.anchorterminal.com/compare/granite-switch-vs-sqwish-kettei.md)\n- [Kev vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-microsoft-decision-1.md)\n- [Kev vs kettei](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sqwish-kettei.md)\n- [Liquid d1 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1.md)\n- [Liquid d1 vs kettei](https://www.anchorterminal.com/compare/liquid-d1-vs-sqwish-kettei.md)\n- [Microsoft-Decision-1 vs Drex 1.5](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.md)\n- [Microsoft-Decision-1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-openai-decisions-api.md)\n- [Microsoft-Decision-1 vs pplx-decider](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider.md)\n- [Microsoft-Decision-1 vs pplx-decider-flash](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-pplx-decider-flash.md)\n- [Microsoft-Decision-1 vs ScaleDown](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-scaledown.md)\n- [Microsoft-Decision-1 vs SPEV](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev.md)\n- [Microsoft-Decision-1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-strands-decider.md)\n- [Microsoft-Decision-1 vs Jev](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-typesafe-jev.md)\n- [Microsoft-Decision-1 vs Vela 2.0](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-vela.md)\n- [Drex 1.5 vs kettei](https://www.anchorterminal.com/compare/nace-drex-vs-sqwish-kettei.md)\n- [OpenAI Decisions API vs kettei](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sqwish-kettei.md)\n- [pplx-decider-flash vs kettei](https://www.anchorterminal.com/compare/pplx-decider-flash-vs-sqwish-kettei.md)\n- [pplx-decider vs kettei](https://www.anchorterminal.com/compare/pplx-decider-vs-sqwish-kettei.md)\n- [ScaleDown vs kettei](https://www.anchorterminal.com/compare/scaledown-vs-sqwish-kettei.md)\n- [SPEV vs kettei](https://www.anchorterminal.com/compare/sprag-spev-vs-sqwish-kettei.md)\n- [kettei vs Strands Decider 2B](https://www.anchorterminal.com/compare/sqwish-kettei-vs-strands-decider.md)\n- [kettei vs Jev](https://www.anchorterminal.com/compare/sqwish-kettei-vs-typesafe-jev.md)\n- [kettei vs Vela 2.0](https://www.anchorterminal.com/compare/sqwish-kettei-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-18", "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", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Microsoft-Decision-1 vs kettei", "url": "" } ], "description": "kettei scores 58.3 (C) to Microsoft-Decision-1's 38.8 (E) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Microsoft-Decision-1 E 38.8", "kettei C 58.3", "scores" ], "h1": "Microsoft-Decision-1 vs kettei", "image": "https://www.anchorterminal.com/assets/og/compare-microsoft-decision-1-vs-sqwish-kettei.png", "path": "/compare/microsoft-decision-1-vs-sqwish-kettei", "published": "2026-10-01", "section": "tools", "title": "Microsoft-Decision-1 vs kettei for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-10-17", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sqwish-kettei" }, "tokens": { "markdown": 3000, "slim": 680 }, "version": 1 }