{ "data": { "a": { "slug": "liquid-d1", "name": "Liquid d1", "vendor": "Liquid AI", "vendorUrl": "https://www.liquid.ai", "kind": "model", "category": "decision-models", "summary": "d1 is Liquid AI's decision model family. It answers typed yes or no, choice and score questions about text and images with probabilities, through a hosted API and the open-weight d1-3B and d1-omni-600M models.", "url": "https://www.anchorterminal.com/tools/liquid-d1", "markdownUrl": "https://www.anchorterminal.com/tools/liquid-d1.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/liquid-d1.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/liquid-d1.json", "repo": "https://huggingface.co/LiquidAI/d1-3B", "license": "The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published", "transports": [ "http" ], "remoteUrl": "https://api.liquid.ai/decisions/v1/systemone", "packages": [], "auth": "api-key", "authNotes": "A key created at console.liquid.ai under Dashboard, API Keys, after registering and joining an organisation, sent as a Bearer header. Keys start with `liquid_`. No scopes, expiry or rotation were found in the reviewed documentation. The weights download from Hugging Face without an account.", "pricing": "freemium", "pricingNotes": "The hosted `d1` model costs $0.04 per million input tokens and bills no output tokens, per the launch post of 5 October 2026 (https://www.liquid.ai/blog/d1-decision-model). Each question is billed as its own prompt, and an image counts 1.5 tokens per 32 by 32 pixel patch. A text-only `d1:free` model exists, with no published limits. Liquid's pricing page covers model licensing only. The open weights are free to run, and commercial use is free below $10 million in annual revenue.", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the d1 docs, the launch posts or the terms of service (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.liquid.ai/lfm/models/decision-models", "llmsTxt": "https://docs.liquid.ai/llms.txt", "capabilities": [ "inference.decision" ], "tags": [ "hosted", "model", "open-weights", "source-available", "self-hosted", "llms-txt", "free-tier", "usage-priced" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 43.5, "grade": "E", "agentReady": false, "rank": 886, "ranked": true, "rankOf": 954, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 63, "maintenance": 60, "payments": 27, "reliability": 21, "schema": 59, "security": 35, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.", "bestFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.", "strengths": [ "$0.04 per million input tokens with no output tokens billed, per the launch post, and a text-only `d1:free` model", "d1-3B (3.12B parameters, 32,768-token context) and d1-omni-600M are ungated on Hugging Face, with GGUF builds", "llama.cpp's server README documents `/v1/systemone` for d1, so the same request runs locally", "The hosted `d1` model accepts up to 8 images a request as Base64 data", "Docs are served as Markdown with an llms.txt index, and say when to use a language model instead" ], "weaknesses": [ "The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found", "No status page, rate limits, SLA or error reference found for the hosted API", "The LFM Open Licence v1.0 ends free commercial use at $10 million in annual revenue, so the weights aren't open source", "No OpenAPI file, API changelog or versioned model IDs. The hosted models are `d1` and `d1:free`", "No SDK of its own. TypeSafe's SDKs are the documented clients and don't send images" ], "agentNotes": [ "POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint", "Use `d1` for images. `d1:free` is text-only and answers that it does not accept images", "Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused", "Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again", "Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data" ], "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": 43.5 } ], "editorialScores": { "ergonomics": 63, "maintenance": 60, "payments": 27, "reliability": 21, "schema": 59, "security": 35, "transparency": 46 }, "provenanceScore": 62 }, "connect": { "install": "pip install typesafe-sdk # or: npm install @typesafe-ai/sdk", "http": "curl -s https://api.liquid.ai/decisions/v1/systemone \\\n -H \"Authorization: Bearer $LIQUID_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"d1\",\"state\":\"I have been waiting over three weeks for my order and nobody has responded to my emails.\",\"questions\":{\"is_complaint\":{\"type\":\"noul\",\"instructions\":\"Is this message a complaint from the customer?\"}}}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/liquid-d1" }, "area": "models", "unitPrices": [ { "item": "d1 input", "unit": "1m-tokens", "usd": 0.04, "note": "No output tokens. Each question is billed as its own prompt, images at 1.5 tokens per 32 by 32 pixel patch" } ], "provenance": { "legalEntity": "Liquid AI, Inc.", "domain": "liquid.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "https://www.liquid.ai/terms-conditions", "privacy": "https://www.liquid.ai/privacy-policy", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of service (updated 30 September 2026) name Liquid AI, Inc., a Delaware corporation, and Massachusetts law. The privacy policy carries the same date.", "RDAP gives liquid.ai a registration date of 16 December 2017 and a transfer on 20 April 2023. The site footer says the company was established in 2023.", "The hosted endpoint is on api.liquid.ai. The weights sit on huggingface.co under the LiquidAI organisation.", "/.well-known/security.txt returned 404 on www.liquid.ai, liquid.ai and api.liquid.ai.", "No status page is linked from the site, the docs or the launch posts, and status.liquid.ai did not answer our reader. No changelog for the API or the docs was found. docs.liquid.ai/changelog returned 404.", "A trust centre at trust.liquid.ai is hosted by Vanta and renders only with JavaScript, so its contents are unread." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/liquid-d1.json", "live": { "slug": "liquid-d1", "probe": { "target": "https://api.liquid.ai/decisions/v1/systemone", "method": "get", "lastAt": "2026-10-10T13:02:17.98852199Z", "lastOk": true, "lastStatus": 404, "lastMs": 188, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 145, "p95ms24h": 385, "samples24h": 246, "samples30d": 477, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 134, "ok": 134 } ] }, "securityTxt": { "url": "https://liquid.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-09T15:40:17.371919029Z" }, "llmsTxt": { "url": "https://docs.liquid.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-09T14:02:14.249419519Z" }, "pages": [ { "url": "https://www.liquid.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-09T18:51:38.5062864Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "42d9e4ba3a39" }, { "url": "https://www.liquid.ai/terms-conditions", "kind": "terms", "status": 200, "checkedAt": "2026-10-09T18:51:40.723441493Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8fd8f3573ffc" } ], "updatedAt": "2026-10-10T13:02:17.98852199Z" } }, "answer": "Drex 1.5 scores 69.7 (B) on agent readiness against Liquid d1's 43.5 (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": "Liquid AI", "b": "Nace AI, Inc. (Nace.AI)", "name": "Vendor" }, { "a": "https://api.liquid.ai/decisions/v1/systemone", "b": "https://console.nace.ai/v1/systemone", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published", "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": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-07", "b": "2026-09-28", "name": "Last release" }, { "a": "2026-09-30", "b": "", "name": "Terms last updated" }, { "a": "2026-09-30", "b": "", "name": "Privacy policy last updated" }, { "a": "yes", "b": "", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "", "name": "Terms restrict automated access" }, { "a": "not found in the text", "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": "318 npm/wk, 156 PyPI/wk", "name": "Popularity" } ], "faq": [ { "answer": "Drex 1.5 scores 69.7 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category.", "question": "Which is better for AI agents, Liquid d1 or Drex 1.5?" }, { "answer": "Both need an API key.", "question": "Do Liquid d1 and Drex 1.5 need an API key?" }, { "answer": "Yes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and Drex 1.5 at https://console.nace.ai/v1/systemone.", "question": "Can an agent call Liquid d1 and Drex 1.5 without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.", "slug": "liquid-d1", "watchFor": "The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found" }, { "aheadOn": [ "Reliability, 80 against 21", "Schema \u0026 documentation, 88 against 59", "Agent ergonomics, 85 against 63", "Security \u0026 auth, 65 against 35", "Payments \u0026 pricing, 40 against 27", "Maintenance \u0026 community, 65 against 60", "Transparency \u0026 trust, 63 against 54" ], "also": null, "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-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-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-liquid-d1.json", "title": "Clef vs Liquid d1", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1" }, { "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-liquid-d1.json", "title": "Laya vs Liquid d1", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1" }, { "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-liquid-d1.json", "title": "Decider vs Liquid d1", "url": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1" }, { "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-liquid-d1.json", "title": "GLiClass vs Liquid d1", "url": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1" }, { "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-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-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-openai-decisions-api.json", "title": "Liquid d1 vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider.json", "title": "Liquid d1 vs pplx-decider", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json", "title": "Liquid d1 vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.json", "title": "Liquid d1 vs Jev", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-vela.json", "title": "Liquid d1 vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-vela" }, { "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/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": 59, "edge": "nace-drex", "key": "reliability", "liquid-d1": 21, "nace-drex": 80, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 29, "edge": "nace-drex", "key": "schema", "liquid-d1": 59, "nace-drex": 88, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 22, "edge": "nace-drex", "key": "ergonomics", "liquid-d1": 63, "nace-drex": 85, "name": "Agent ergonomics", "weight": 13 }, { "by": 30, "edge": "nace-drex", "key": "security", "liquid-d1": 35, "nace-drex": 65, "name": "Security \u0026 auth", "weight": 14 }, { "by": 13, "edge": "nace-drex", "key": "payments", "liquid-d1": 27, "nace-drex": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 5, "edge": "nace-drex", "key": "maintenance", "liquid-d1": 60, "nace-drex": 65, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 9, "edge": "nace-drex", "key": "transparency", "liquid-d1": 54, "nace-drex": 63, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Drex 1.5 scores 69.7 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category. Both do decision models.", "verdicts": { "liquid-d1": "The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.", "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/liquid-d1-vs-nace-drex", "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.md", "slim": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.min.md" }, "markdown": "Drex 1.5 scores 69.7 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category. Both do decision models.\n\n- Liquid d1: grade E, 43.5/100, rank #886 of 954. Markdown https://www.anchorterminal.com/tools/liquid-d1.md · JSON https://www.anchorterminal.com/api/v1/tools/liquid-d1.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### Liquid d1 (E)\n\nGood for: Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.\n\nWatch for: The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found\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 21\n- Schema \u0026 documentation, 88 against 59\n- Agent ergonomics, 85 against 63\n- Security \u0026 auth, 65 against 35\n- Payments \u0026 pricing, 40 against 27\n- Maintenance \u0026 community, 65 against 60\n- Transparency \u0026 trust, 63 against 54\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 | Liquid d1 | Drex 1.5 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 21 | 80 | Drex 1.5 +59 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 59 | 88 | Drex 1.5 +29 |\n| Agent ergonomics | 13% (16.2 this run) | 63 | 85 | Drex 1.5 +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 65 | Drex 1.5 +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 27 | 40 | Drex 1.5 +13 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 60 | 65 | Drex 1.5 +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 63 | Drex 1.5 +9 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **43.5 · E** | **69.7 · B** | |\n\n## Facts side by side\n\n| Fact | Liquid d1 | Drex 1.5 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Liquid AI | Nace AI, Inc. (Nace.AI) |\n| Hosted endpoint | `https://api.liquid.ai/decisions/v1/systemone` | `https://console.nace.ai/v1/systemone` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published | 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 | yes | yes |\n| Last release | 2026-10-07 | 2026-09-28 |\n| Terms last updated | 2026-09-30 | |\n| Privacy policy last updated | 2026-09-30 | |\n| Customer content may train models | yes | |\n| Terms restrict automated access | not found in the text | |\n| Terms restrict benchmarking | not found in the text | |\n| Terms or service can change without notice | not found in the text | |\n| Arbitration or class-action waiver | not found in the text | |\n| Popularity | none | 318 npm/wk, 156 PyPI/wk |\n\n## Verdicts\n\n**Liquid d1.** The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.\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### Liquid d1\n\n1. POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint\n2. Use `d1` for images. `d1:free` is text-only and answers that it does not accept images\n3. Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused\n4. Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again\n5. Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data\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, Liquid d1 or Drex 1.5?\n\nDrex 1.5 scores 69.7 (B) on agent readiness against Liquid d1's 43.5 (E), and leads in every scored category.\n\n### Do Liquid d1 and Drex 1.5 need an API key?\n\nBoth need an API key.\n\n### Can an agent call Liquid d1 and Drex 1.5 without installing anything?\n\nYes. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone and Drex 1.5 at https://console.nace.ai/v1/systemone.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.json, and with the fewest tokens: https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"liquid-d1\", \"b\": \"nace-drex\"}`. From a terminal: `anchor compare liquid-d1 nace-drex`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/liquid-d1.json and https://www.anchorterminal.com/api/v1/tools/nace-drex.json\n\n## Other comparisons with Liquid d1 or Drex 1.5\n\n- [Celeris-1 Decision vs Liquid d1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.md)\n- [Celeris-1 Decision vs Drex 1.5](https://www.anchorterminal.com/compare/celeris-1-decision-vs-nace-drex.md)\n- [Clef vs Liquid d1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.md)\n- [Clef vs Drex 1.5](https://www.anchorterminal.com/compare/cloudflare-clef-vs-nace-drex.md)\n- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)\n- [Laya vs Drex 1.5](https://www.anchorterminal.com/compare/convai-laya-vs-nace-drex.md)\n- [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md)\n- [Decider vs Drex 1.5](https://www.anchorterminal.com/compare/decider-vs-nace-drex.md)\n- [GLiClass vs Liquid d1](https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md)\n- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)\n- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.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 OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [Liquid d1 vs pplx-decider](https://www.anchorterminal.com/compare/liquid-d1-vs-pplx-decider.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [Microsoft-Decision-1 vs Drex 1.5](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-nace-drex.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": "Liquid d1 vs Drex 1.5", "url": "" } ], "description": "Drex 1.5 scores 69.7 (B) to Liquid d1's 43.5 (E) for decision models. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Liquid d1 E 43.5", "Drex 1.5 B 69.7", "scores" ], "h1": "Liquid d1 vs Drex 1.5", "image": "https://www.anchorterminal.com/assets/og/compare-liquid-d1-vs-nace-drex.png", "path": "/compare/liquid-d1-vs-nace-drex", "published": "2026-10-01", "section": "tools", "title": "Liquid d1 vs Drex 1.5 for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-10", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-nace-drex" }, "tokens": { "markdown": 2600, "slim": 830 }, "version": 1 }