{ "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": 39, "grade": "E", "agentReady": false, "rank": 921, "ranked": true, "rankOf": 954, "categoryRank": 14, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 50, "maintenance": 40, "payments": 20, "reliability": 30, "schema": 43, "security": 52, "transparency": 32 }, "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": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 39 } ], "editorialScores": { "ergonomics": 50, "maintenance": 40, "payments": 20, "reliability": 30, "schema": 43, "security": 52, "transparency": 22 }, "provenanceScore": 41 }, "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", "power-automate", "foundry-local", "microsoft-advertising-api", "microsoft-excel-graph", "outlook-mail-graph" ], "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": 41 }, "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": "2026-10-10T11:53:10.031474948Z" }, "updatedAt": "2026-10-10T11:53:10.031474948Z" } }, "answer": "Drex 1.5 scores 69.7 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in every scored category.", "b": { "slug": "nace-drex", "name": "Drex 1.5", "vendor": "Nace AI, Inc. (Nace.AI)", "vendorUrl": "https://www.nace.ai", "kind": "model", "category": "decision-models", "summary": "Drex 1.5 is Nace.AI's decision model. It returns a probability for each option in typed yes or no, choice and score questions. Hosted at console.nace.ai, with open weights under the Nace AI Open RAIL-M licence.", "url": "https://www.anchorterminal.com/tools/nace-drex", "markdownUrl": "https://www.anchorterminal.com/tools/nace-drex.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nace-drex.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nace-drex.json", "repo": "https://huggingface.co/nace-ai/drex-v1.5", "license": "Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT.", "transports": [ "http" ], "remoteUrl": "https://console.nace.ai/v1/systemone", "packages": [ { "registry": "pypi", "name": "nace-sdk" }, { "registry": "npm", "name": "nace-sdk" }, { "registry": "pypi", "name": "nace-mcp" } ], "auth": "api-key", "authNotes": "A key starting nace_sk_, created in the Console dashboard after an emailed-code sign-in and sent as a Bearer header. The key is shown once. An account can hold three active keys, which share its credit and rate limits. Keys can be revoked and rotated, and no scopes are documented. An agent cannot create its own account, because sign-in needs an emailed code.", "pricing": "freemium", "pricingNotes": "drex-v1.5 costs $0.05 per million input tokens, and output tokens are not billed. The price is on the public pricing reference without a login. New accounts get $25 of signup credit, which expires three months after sign-up, and a $5 monthly credit. Each mailbox gets the signup credit once, and disposable domains get none. Without a saved card, requests stop at zero credit with 402 insufficient_credit. A saved card turns on pay-as-you-go, billed every 14 days.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the pricing reference, the API reference or the OpenAPI document (checked 10 October 2026).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 318, "pypiWeekly": 156, "asOf": "2026-10-10" }, "docsUrl": "https://console.nace.ai/docs/drex", "llmsTxt": "https://drex.nace.ai/llms.txt", "openapi": "https://console.nace.ai/openapi.json", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "open-weights", "llms-txt", "openapi", "python", "typescript", "mcp", "free-tier", "usage-priced", "status-page" ], "lastRelease": "2026-09-28", "graded": true, "anchor": { "graded": true, "score": 69.7, "grade": "B", "agentReady": false, "rank": 172, "ranked": true, "rankOf": 954, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 65, "payments": 40, "reliability": 80, "schema": 88, "security": 65, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-10" }, "negative": -2, "negativeNotes": [ "10 October 2026, read against the public board generated 28 September 2026. The site at www.nace.ai/drex states a Decision Index 0.2.1 score of 58.28 and says Drex 1.5 leads all 71 entries under 10B parameters. The 0.2.1 board has 70 entries, none of them Drex, and its top score is Surogate Rune 26B-A4B v3 at 57.44 (https://huggingface.co/spaces/multimodalart/jev-decision-index/resolve/main/data/index-v0.2.1.json). The Hugging Face card does say the Drex figure is Nace's own run, but the site does not. Deducted 2 as a misleading claim." ], "verdict": "The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding.", "bestFor": "Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.", "strengths": [ "Public OpenAPI 3.1 document for POST /v1/systemone, plus llms.txt. Request limits are 512 questions, a 1,048,576-byte body and a 131,072-token state.", "Price per input token on the pricing reference, readable without a login. drex-v1.5 costs $0.05 per million, and output tokens are not billed.", "Rate limits with numbers for the free tier (120 requests a minute) and the paid tier (600), and Retry-After on 429 and 529 responses.", "Pinned model ids (drex-v1.0, drex-v1.5) that stay on their version, with a dated record of the drex-latest alias moves.", "Official Python and TypeScript SDKs (nace-sdk), an MCP server (nace-mcp) with 21 tools, and the weights on Hugging Face." ], "weaknesses": [ "The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1.", "The weights are under Open RAIL-M, which restricts commercial use above $1 million in revenue or funding and excludes competing products.", "The data statements conflict. The developer page says no training on your data, while the privacy notice allows input and output to improve the Services.", "No SLA, changelog or readable incident list for the model. Drex has been public for 12 days.", "Sign-up needs an emailed code and a browser step. The $25 signup credit is granted once per mailbox and expires after three months." ], "agentNotes": [ "Call https://console.nace.ai/v1/systemone with Authorization: Bearer nace_sk_..., and pin model drex-v1.5 rather than drex-latest in production.", "Stop on 402 insufficient_credit or 402 payment_required until credit is topped up or the unpaid invoice is paid.", "Retry 429 and 529 after retry-after-ms. On a 422 for an unknown model, use one of the ids the error message lists.", "Keep state below 131,072 tokens and the body below 1,048,576 bytes, and send at most 512 questions per request.", "Keep the key on a server. A key in browser code is exposed, and the /v1 routes send no Access-Control-Allow-Origin header.", "Check usage.input_tokens and the usage CSV after retries, since /v1/systemone documents no idempotency key." ], "metrics": { "kind": "remote", "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": 69.7 } ], "editorialScores": { "ergonomics": 85, "maintenance": 65, "payments": 40, "reliability": 80, "schema": 88, "security": 65, "transparency": 50 }, "provenanceScore": 75 }, "connect": { "install": "pip install nace-sdk # or: npm install nace-sdk", "http": "curl https://console.nace.ai/v1/systemone \\\n -H \"Authorization: Bearer $NACE_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"drex-v1.5\",\"state\":\"I was charged twice for order A-104.\",\"questions\":{\"refund\":{\"type\":\"noul\",\"instructions\":\"Does the customer ask for a refund?\"}}}'", "claudeCode": "uvx nace-mcp login\nclaude mcp add nace -- uvx nace-mcp" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/nace-drex" }, "area": "models", "unitPrices": [ { "item": "Drex 1.5 input", "unit": "1m-tokens", "usd": 0.05, "note": "Per input token, as reported in usage.input_tokens. The pinned drex-v1.0 costs $0.04." }, { "item": "Drex 1.5 output", "unit": "1m-tokens", "usd": 0, "note": "Reported in usage.output_tokens and not billed." } ], "provenance": { "legalEntity": "Nace AI, Inc.", "domain": "nace.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://www.nace.ai/policies/terms-of-service", "privacy": "https://www.nace.ai/policies/privacy-policy", "statusPage": "https://status.nace.ai/", "changelog": "", "securityTxt": "valid", "checked": "2026-10-10", "notes": [ "The Terms were last updated 5 May 2026, before Drex was released, and no Drex-specific service terms were found.", "The security.txt expires on 9 October 2027. The console changelog URL returned 500 and nace.ai/changelog returned 404.", "The Hugging Face cardData field marks the repository as private, while the Hub API returns it as public and the files download without an account." ], "score": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/nace-drex.json", "live": { "slug": "nace-drex", "probe": { "target": "https://console.nace.ai/v1/systemone", "method": "get", "lastAt": "2026-10-10T13:02:21.179574177Z", "lastOk": true, "lastStatus": 405, "lastMs": 294, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 208, "p95ms24h": 294, "samples24h": 21, "samples30d": 21, "days": [ { "date": "2026-10-10", "probes": 21, "ok": 21 } ] }, "vendorStatus": { "page": "https://status.nace.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-10-10T11:53:13.006193955Z" }, "updatedAt": "2026-10-10T13:02:21.179574177Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Microsoft", "b": "Nace AI, Inc. (Nace.AI)", "name": "Vendor" }, { "a": "no (local only)", "b": "https://console.nace.ai/v1/systemone", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "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": "Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT.", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-09", "b": "2026-09-28", "name": "Last release" }, { "a": "no document linked", "b": "", "name": "Terms last updated" }, { "a": "", "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": "318 npm/wk, 156 PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Drex 1.5 scores 69.7 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in every scored category.", "question": "Which is better for AI agents, Microsoft-Decision-1 or Drex 1.5?" }, { "answer": "Microsoft-Decision-1 takes an API key or an OAuth sign-in. Drex 1.5 needs an API key.", "question": "Do Microsoft-Decision-1 and Drex 1.5 need an API key?" }, { "answer": "No hosted endpoint is listed for Microsoft-Decision-1. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone.", "question": "Can an agent call Microsoft-Decision-1 and Drex 1.5 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": [ "Reliability, 80 against 30", "Schema \u0026 documentation, 88 against 43", "Agent ergonomics, 85 against 50", "Security \u0026 auth, 65 against 52", "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 65 against 40", "Transparency \u0026 trust, 63 against 32" ], "also": [ "A hosted endpoint, with nothing to install" ], "goodFor": "Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.", "slug": "nace-drex", "watchFor": "The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1." } ], "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-nace-drex.json", "title": "Celeris-1 Decision vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-nace-drex" }, { "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-nace-drex.json", "title": "Clef vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex" }, { "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-nace-drex.json", "title": "Laya vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex" }, { "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-nace-drex.json", "title": "Decider vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/decider-vs-nace-drex" }, { "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-nace-drex.json", "title": "GLiClass vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/gliclass-vs-nace-drex" }, { "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-nace-drex.json", "title": "Kev vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex" }, { "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-nace-drex.json", "title": "Liquid d1 vs Drex 1.5", "url": "https://www.anchorterminal.com/compare/liquid-d1-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-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-openai-decisions-api.json", "title": "Drex 1.5 vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider.json", "title": "Drex 1.5 vs pplx-decider", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.json", "title": "Drex 1.5 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev.json", "title": "Drex 1.5 vs Jev", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/nace-drex-vs-vela.json", "title": "Drex 1.5 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/nace-drex-vs-vela" } ], "scores": [ { "by": 50, "edge": "nace-drex", "key": "reliability", "microsoft-decision-1": 30, "nace-drex": 80, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 45, "edge": "nace-drex", "key": "schema", "microsoft-decision-1": 43, "nace-drex": 88, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 35, "edge": "nace-drex", "key": "ergonomics", "microsoft-decision-1": 50, "nace-drex": 85, "name": "Agent ergonomics", "weight": 13 }, { "by": 13, "edge": "nace-drex", "key": "security", "microsoft-decision-1": 52, "nace-drex": 65, "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "edge": "nace-drex", "key": "payments", "microsoft-decision-1": 20, "nace-drex": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 25, "edge": "nace-drex", "key": "maintenance", "microsoft-decision-1": 40, "nace-drex": 65, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 31, "edge": "nace-drex", "key": "transparency", "microsoft-decision-1": 32, "nace-drex": 63, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Drex 1.5 scores 69.7 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in every scored category. Both do decision models.", "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.", "nace-drex": "The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex", "json": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.md", "slim": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.min.md" }, "markdown": "Drex 1.5 scores 69.7 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in every scored category. Both do decision models.\n\n- Microsoft-Decision-1: grade E, 39/100, rank #921 of 954. Markdown https://www.anchorterminal.com/tools/microsoft-decision-1.md · JSON https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json\n- Drex 1.5: grade B, 69.7/100, rank #172 of 954. Markdown https://www.anchorterminal.com/tools/nace-drex.md · JSON https://www.anchorterminal.com/api/v1/tools/nace-drex.json\n- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md\n- All 91 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### Drex 1.5 (B)\n\nGood for: Routing, triage and yes or no gates inside an agent, where the caller supplies the options and acts on the probabilities. Suited to hosted use at a low per-token price, or to open weights where the licence fits.\n\nAhead on:\n- Reliability, 80 against 30\n- Schema \u0026 documentation, 88 against 43\n- Agent ergonomics, 85 against 50\n- Security \u0026 auth, 65 against 52\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 65 against 40\n- Transparency \u0026 trust, 63 against 32\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: The rank 1 claim comes from Nace's own run on Decision Index 0.3.1, and Drex is not on the public board for 0.3 or 0.2.1.\n\n\n## Score by category\n\n| Category | Weight | Microsoft-Decision-1 | Drex 1.5 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 30 | 80 | Drex 1.5 +50 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 43 | 88 | Drex 1.5 +45 |\n| Agent ergonomics | 13% (16.2 this run) | 50 | 85 | Drex 1.5 +35 |\n| Security \u0026 auth | 14% (17.5 this run) | 52 | 65 | Drex 1.5 +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Drex 1.5 +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 40 | 65 | Drex 1.5 +25 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 32 | 63 | Drex 1.5 +31 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **39 · E** | **69.7 · B** | |\n\n## Facts side by side\n\n| Fact | Microsoft-Decision-1 | Drex 1.5 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Microsoft | Nace AI, Inc. (Nace.AI) |\n| Hosted endpoint | no (local only) | `https://console.nace.ai/v1/systemone` |\n| Transports | HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Freemium |\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. | Hosted API under the Nace AI Terms of Service, last updated 5 May 2026. Weights under the Nace AI Open RAIL-M licence (modified, version 1.0, October 2026), which is not an open-source licence. Businesses above $1 million in revenue or funding need a separate commercial licence, and competing products are excluded. The bundled code/kev package, derived from Jared Palmer's Kev (https://github.com/jaredpalmer/kev), and the GitHub repository are Apache-2.0, and the agent skill is MIT. |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-10-09 | 2026-09-28 |\n| Terms last updated | no document linked | |\n| Privacy policy last updated | | |\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 | 318 npm/wk, 156 PyPI/wk |\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**Drex 1.5.** The hosted endpoint has a public OpenAPI document, published limits and pinned model versions, at $0.05 per million input tokens with no output charge. The #1 under 10B claim rests on Nace's own run, since Drex is absent from both public boards. Weights carry Open RAIL-M, which requires a commercial licence above $1 million in revenue or funding.\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### Drex 1.5\n\n1. Call https://console.nace.ai/v1/systemone with Authorization: Bearer nace_sk_..., and pin model drex-v1.5 rather than drex-latest in production.\n2. Stop on 402 insufficient_credit or 402 payment_required until credit is topped up or the unpaid invoice is paid.\n3. Retry 429 and 529 after retry-after-ms. On a 422 for an unknown model, use one of the ids the error message lists.\n4. Keep state below 131,072 tokens and the body below 1,048,576 bytes, and send at most 512 questions per request.\n5. Keep the key on a server. A key in browser code is exposed, and the /v1 routes send no Access-Control-Allow-Origin header.\n6. Check usage.input_tokens and the usage CSV after retries, since /v1/systemone documents no idempotency key.\n\n## Questions\n\n### Which is better for AI agents, Microsoft-Decision-1 or Drex 1.5?\n\nDrex 1.5 scores 69.7 (B) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in every scored category.\n\n### Do Microsoft-Decision-1 and Drex 1.5 need an API key?\n\nMicrosoft-Decision-1 takes an API key or an OAuth sign-in. Drex 1.5 needs an API key.\n\n### Can an agent call Microsoft-Decision-1 and Drex 1.5 without installing anything?\n\nNo hosted endpoint is listed for Microsoft-Decision-1. Drex 1.5 has a hosted endpoint at https://console.nace.ai/v1/systemone.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"microsoft-decision-1\", \"b\": \"nace-drex\"}`. From a terminal: `anchor compare microsoft-decision-1 nace-drex`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json and https://www.anchorterminal.com/api/v1/tools/nace-drex.json\n\n## Other comparisons with Microsoft-Decision-1 or Drex 1.5\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 Drex 1.5](https://www.anchorterminal.com/compare/celeris-1-decision-vs-nace-drex.md)\n- [Clef vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-microsoft-decision-1.md)\n- [Clef vs Drex 1.5](https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex.md)\n- [Laya vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/convai-laya-vs-microsoft-decision-1.md)\n- [Laya vs Drex 1.5](https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.md)\n- [Decider vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/decider-vs-microsoft-decision-1.md)\n- [Decider vs Drex 1.5](https://www.anchorterminal.com/compare/decider-vs-nace-drex.md)\n- [GLiClass vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [Kev vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-microsoft-decision-1.md)\n- [Kev vs Drex 1.5](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-nace-drex.md)\n- [Liquid d1 vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/liquid-d1-vs-microsoft-decision-1.md)\n- [Liquid d1 vs Drex 1.5](https://www.anchorterminal.com/compare/liquid-d1-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 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 OpenAI Decisions API](https://www.anchorterminal.com/compare/nace-drex-vs-openai-decisions-api.md)\n- [Drex 1.5 vs pplx-decider](https://www.anchorterminal.com/compare/nace-drex-vs-pplx-decider.md)\n- [Drex 1.5 vs Strands Decider 2B](https://www.anchorterminal.com/compare/nace-drex-vs-strands-decider.md)\n- [Drex 1.5 vs Jev](https://www.anchorterminal.com/compare/nace-drex-vs-typesafe-jev.md)\n- [Drex 1.5 vs Vela 2.0](https://www.anchorterminal.com/compare/nace-drex-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-10", "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": "Microsoft-Decision-1 vs Drex 1.5", "url": "" } ], "description": "Drex 1.5 scores 69.7 (B) to Microsoft-Decision-1's 39 (E) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Microsoft-Decision-1 E 39", "Drex 1.5 B 69.7", "scores" ], "h1": "Microsoft-Decision-1 vs Drex 1.5", "image": "https://www.anchorterminal.com/assets/og/compare-microsoft-decision-1-vs-nace-drex.png", "path": "/compare/microsoft-decision-1-vs-nace-drex", "published": "2026-10-01", "section": "tools", "title": "Microsoft-Decision-1 vs Drex 1.5 for AI agents (2026)", "toc": null, "updated": "2026-10-10", "url": "https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex" }, "tokens": { "markdown": 2750, "slim": 780 }, "version": 1 }