{ "data": { "a": { "slug": "nomic-embed", "name": "Nomic Embed", "vendor": "Nomic, Inc.", "vendorUrl": "https://www.nomic.ai", "kind": "http-api", "category": "embeddings", "summary": "Nomic's hosted embedding endpoints on the Atlas API turn text and images into vectors with the open-weight Nomic Embed models. Agents call them over HTTP with an API key or through the Python and TypeScript clients.", "url": "https://www.anchorterminal.com/tools/nomic-embed", "markdownUrl": "https://www.anchorterminal.com/tools/nomic-embed.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nomic-embed.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nomic-embed.json", "repo": "https://github.com/nomic-ai/nomic", "license": "Proprietary hosted API. Model weights Apache-2.0 on Hugging Face. The Python client declares Apache in setup.py and the TypeScript client is MIT", "transports": [ "http" ], "remoteUrl": "https://api-atlas.nomic.ai/v1/embedding/text", "packages": [ { "registry": "pypi", "name": "nomic" }, { "registry": "npm", "name": "@nomic-ai/atlas" } ], "auth": "api-key", "authNotes": "`Authorization: Bearer` with a Nomic API key created in the Atlas dashboard at atlas.nomic.ai/data. Keys are tied to a user and billed to the organisation, and can be scoped to an organisation, a dataset or a user. The clients also accept a refresh token. Sign-up is in a browser, and we couldn't confirm that new accounts are still accepted (https://docs.nomic.ai/api/getting-started/getting-started).", "pricing": "freemium", "pricingNotes": "No rendered public page prices the embedding endpoint. www.nomic.ai/pricing lists only the Nomic Platform plans (Free, Individual at $20 a month, Business at $40 a user a month). The Atlas web app's script lists a starter plan with 10M tokens free and paid plans at $1 per 10M tokens with 10M or 100M included a month, and images at $1 per 50,000. We couldn't render that page or confirm whether a card is needed (checked 2026-10-08).", "priceSummary": "Freemium", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the API reference, the OpenAPI document or the pricing pages (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 1881, "npmWeekly": 8551, "pypiWeekly": 3833, "asOf": "2026-10-08" }, "docsUrl": "https://docs.nomic.ai/reference/api/embed-text-v-1-embedding-text-post", "openapi": "https://api-atlas.nomic.ai/v1/api-reference/openapi.json", "capabilities": [ "embed.text", "embed.multimodal", "embed.multilingual", "embed.code" ], "tags": [ "hosted", "freemium", "api-key", "openapi", "open-weights", "python", "typescript" ], "lastRelease": "2025-11-11", "graded": true, "anchor": { "graded": true, "score": 49.2, "grade": "D", "agentReady": false, "rank": 532, "ranked": true, "rankOf": 629, "categoryRank": 7, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 28, "payments": 20, "reliability": 38, "schema": 65, "security": 62, "transparency": 46 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "The text models have Apache-2.0 weights and a public OpenAPI 3.1 contract, so vectors made through the hosted endpoint can be reproduced locally. Nomic's current site and documentation index describe a construction-industry product, no rendered public page prices the endpoint, and no published terms or status component name it.", "bestFor": "Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way.", "strengths": [ "Weights for nomic-embed-text-v1, v1.5, v2-moe, nomic-embed-code and nomic-embed-vision-v1.5 are Apache-2.0 on Hugging Face", "Public OpenAPI 3.1 document for the Atlas API (v0.57.0) with typed request and response schemas for both embedding endpoints", "nomic-embed-text-v1.5 accepts a dimensionality from 64 to 768, and inputs up to 8,192 tokens per text", "The Python client retries 429 and 5xx responses with exponential backoff and can run the same model locally with inference_mode set to local", "API keys can be scoped to an organisation, a dataset or a user, per the Atlas access-control page" ], "weaknesses": [ "docs.nomic.ai/llms.txt and www.nomic.ai now describe a product for architecture, engineering and construction firms, and the documentation index no longer lists the embedding pages", "No rendered public page states a price for the endpoint. The $1 per 10M tokens figure comes from the Atlas web app's script", "status.nomic.ai has no component for api-atlas.nomic.ai, and no SLA was found", "The published terms and privacy policy cover the Nomic Platform at app.nomic.ai and don't name Atlas or the embedding API", "The Python client's last release was 3.9.0 on 11 November 2025, and the API reference documents only a 422 error" ], "agentNotes": [ "Set task_type to search_query for queries and search_document for stored text. The default is search_document", "Name the model in every request. The API defaults to nomic-embed-text-v1, while the Python client defaults to nomic-embed-text-v1.5", "Keep under 1,200 requests per five minutes per IP address. The Python client sends at most 10 texts a request", "Set long_text_mode to truncate or mean. Texts over 8,192 tokens are averaged across chunks by default on the API", "Pass dimensionality only with nomic-embed-text-v1.5, between 64 and 768" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 49.2 } ], "editorialScores": { "ergonomics": 69, "maintenance": 28, "payments": 20, "reliability": 38, "schema": 65, "security": 62, "transparency": 47 }, "provenanceScore": 45 }, "connect": { "install": "pip install nomic", "http": "curl -X POST https://api-atlas.nomic.ai/v1/embedding/text \\\n -H \"Authorization: Bearer $NOMIC_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"texts\":[\"The text you want to embed.\"],\"model\":\"nomic-embed-text-v1.5\",\"task_type\":\"search_document\"}'" }, "letme": { "capability": "https://letme.dev/embed.text", "tool": "https://letme.dev/nomic-embed" }, "sameCompany": [ "gpt4all" ], "area": "models", "unitPrices": [ { "item": "Text embedding tokens beyond the plan's monthly allowance", "unit": "1m-tokens", "usd": 0.1, "note": "$1 per 10M tokens, read from the Atlas web app's script, not a rendered pricing page" } ], "provenance": { "legalEntity": "Nomic, Inc.", "domain": "nomic.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/nomic-ai/nomic/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "terms and privacy are left out. Nomic publishes Terms of Service for Business and Enterprise accounts (20 April 2026), Individual Terms of Service for Free and Individual accounts (25 August 2026) and a privacy policy (15 January 2026) that covers www.nomic.ai and the platform at app.nomic.ai. None names Atlas, atlas.nomic.ai or the embedding API (https://www.nomic.ai/legal.json).", "Both sets of terms name Nomic, Inc., a Delaware corporation, under Delaware law.", "status.nomic.ai lists the Nomic Platform in four regions (drive.nomic.ai, au, eu and uk), each with a Nomic API and a Platform Web Service component. It has no component for api-atlas.nomic.ai, so statusPage is left empty.", "www.nomic.ai, docs.nomic.ai and api-atlas.nomic.ai each return 404 for /.well-known/security.txt. The security page gives security@nomic.ai for vulnerability reports.", "The changelog is the Python client's. No changelog for the Atlas API was found." ], "score": 45 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/nomic-embed.json", "live": { "slug": "nomic-embed", "probe": { "target": "https://api-atlas.nomic.ai/v1/embedding/text", "method": "get", "lastAt": "2026-10-08T19:08:53.950011034Z", "lastOk": true, "lastStatus": 405, "lastMs": 418, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 421, "p95ms24h": 467, "samples24h": 19, "samples30d": 19, "days": [ { "date": "2026-10-08", "probes": 19, "ok": 19 } ] }, "pages": [ { "url": "https://raw.githubusercontent.com/nomic-ai/nomic/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:24:31.732147651Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "5cd028b474d0" } ], "updatedAt": "2026-10-08T19:08:53.950011034Z" } }, "answer": "Nomic Embed scores 49.2 (D) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in 6 of 7 scored categories. ZeroEntropy zerank and zembed leads on transparency \u0026 trust.", "b": { "slug": "zeroentropy", "name": "ZeroEntropy zerank and zembed", "vendor": "ZeroEntropy", "vendorUrl": "https://www.zeroentropy.dev", "kind": "http-api", "category": "embeddings", "summary": "Discontinued retrieval API acquired by Notion. Its embedding and reranking models remain available as open weights for self-hosting.", "url": "https://www.anchorterminal.com/tools/zeroentropy", "markdownUrl": "https://www.anchorterminal.com/tools/zeroentropy.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/zeroentropy.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/zeroentropy.json", "repo": "https://github.com/zeroentropy-ai/zeroentropy-python", "license": "Apache-2.0 (SDKs and model weights)", "transports": [ "http" ], "remoteUrl": "https://api.zeroentropy.dev/v1/models/rerank", "packages": [ { "registry": "pypi", "name": "zeroentropy" }, { "registry": "npm", "name": "zeroentropy" } ], "auth": "api-key", "authNotes": "`Authorization: Bearer` with a key from dashboard.zeroentropy.dev. The SDKs read `ZEROENTROPY_API_KEY`. An EU endpoint at eu-api.zeroentropy.dev takes the same key.", "pricing": "usage", "pricingNotes": "No longer for sale. The API was supported until 2026-09-04 and new signups closed on 2026-07-24 (https://www.zeroentropy.dev/articles/zeroentropy-is-joining-notion/). The docs and pricing page still show the old self-serve prices, $0.025 per million tokens for zerank models and $0.05 for zembed-1. The weights are free to self-host under Apache 2.0.", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 221378, "pypiWeekly": null, "asOf": "2026-09-30" }, "docsUrl": "https://docs.zeroentropy.dev/models", "capabilities": [ "rerank", "embed.text", "embed.multilingual" ], "tags": [ "retired", "superseded", "open-weights" ], "lastRelease": "2026-03-02", "graded": true, "anchor": { "graded": true, "score": 13.7, "grade": "F", "agentReady": false, "rank": 626, "ranked": true, "rankOf": 629, "categoryRank": 8, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 20, "maintenance": 5, "payments": 0, "reliability": 0, "schema": 31, "security": 25, "transparency": 52 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": -4, "negativeNotes": [ "The API was discontinued after 2026-09-04 per ZeroEntropy's own acquisition notice of 2026-07-24, but on 2026-10-01 the models page (https://docs.zeroentropy.dev/models) and pricing page (https://www.zeroentropy.dev/pricing) still list self-serve per-token prices and API access without mentioning the shutdown. Endpoint removed while still advertised (-4). The shutdown notice is at https://www.zeroentropy.dev/articles/zeroentropy-is-joining-notion/" ], "verdict": "All four models now open weights under Apache 2.0 on Hugging Face. The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026.", "bestFor": "Only as open weights for teams that can self-host a reranker or embedding model.", "strengths": [ "All four models now open weights under Apache 2.0 on Hugging Face", "A migration guide with self-hosting recipes for Baseten and Modal and named hosted alternatives", "42 days' notice before the API was retired", "Migration support promised over Slack, Discord and email" ], "weaknesses": [ "The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026", "The docs and pricing page still advertise per-token API prices without mentioning the shutdown", "Nothing published on what happens to customer documents after the shutdown", "No status page, changelog or OpenAPI file" ], "agentNotes": [ "Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says", "Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model", "Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage", "Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 1, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "F", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 13.7 } ], "editorialScores": { "ergonomics": 20, "maintenance": 5, "payments": 0, "reliability": 0, "schema": 31, "security": 25, "transparency": 45 }, "provenanceScore": 58 }, "connect": { "install": "pip install zeroentropy # or: npm i zeroentropy", "http": "curl -X POST https://api.zeroentropy.dev/v1/models/rerank \\\n -H \"Authorization: Bearer $ZEROENTROPY_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"model\":\"zerank-2\",\"query\":\"reranker price per million tokens\",\"documents\":[\"zerank-2 costs $0.025 per million tokens.\",\"The office is in California.\"],\"top_n\":1}'" }, "letme": { "capability": "https://letme.dev/rerank", "tool": "https://letme.dev/zeroentropy" }, "supersededBy": [ "cohere-embed", "voyage-ai", "openai-embeddings" ], "area": "models", "unitPrices": [ { "item": "zerank-2 reranker", "unit": "1m-tokens", "usd": 0.025, "note": "Same price for zerank-1 and zerank-1-small" }, { "item": "zembed-1 embeddings", "unit": "1m-tokens", "usd": 0.05 } ], "provenance": { "legalEntity": "ZeroEntropy, Inc.", "domain": "zeroentropy.dev", "domainRegistered": "2024-09-02", "endpointOnVendorDomain": true, "terms": "https://www.zeroentropy.dev/terms", "privacy": "https://www.zeroentropy.dev/privacy", "statusPage": "", "changelog": "", "securityTxt": "unknown", "checked": "2026-09-30", "notes": [ "The privacy policy (2025-11-04) names ZeroEntropy, Inc., a Delaware corporation based in California, with no postal address. The terms (last revised 2025-10-07) name no entity and no governing law.", "The terms grant ZeroEntropy a licence to process and store submitted documents to provide the service and for internal improvement purposes.", "The proxy refused our fetch of security.txt, the docs llms.txt and the GitHub SDK page with a rate limit, so those are unchecked. The SDK's public repository was cloned instead.", "The embed rate-limit figures come from the SDK's docstrings, the rerank figures from the API reference." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/zeroentropy.json", "live": { "slug": "zeroentropy", "probe": { "target": "https://api.zeroentropy.dev/v1/models/rerank", "method": "get", "lastAt": "2026-10-08T19:09:02.954999329Z", "lastOk": false, "lastStatus": 503, "lastMs": 449, "lastNote": "server error", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 272, "samples30d": 1933, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 0 }, { "date": "2026-10-02", "probes": 248, "ok": 0 }, { "date": "2026-10-03", "probes": 271, "ok": 0 }, { "date": "2026-10-04", "probes": 272, "ok": 0 }, { "date": "2026-10-05", "probes": 272, "ok": 0 }, { "date": "2026-10-06", "probes": 272, "ok": 0 }, { "date": "2026-10-07", "probes": 272, "ok": 0 }, { "date": "2026-10-08", "probes": 217, "ok": 0 } ] }, "versions": [ { "registry": "npm", "name": "zeroentropy", "version": "0.1.0-alpha.10", "seenAt": "2026-10-08T16:35:52.167598947Z" }, { "registry": "pypi", "name": "zeroentropy", "version": "0.1.0a11", "released": "2026-03-03", "seenAt": "2026-10-08T16:35:51.980267289Z" } ], "githubStars": 24, "npmWeekly": 242346, "pypiWeekly": 19946, "securityTxt": { "url": "https://zeroentropy.dev/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:41.659103904Z" }, "domain": { "domain": "zeroentropy.dev", "registered": "2024-09-02", "source": "https://pubapi.registry.google/rdap/domain/zeroentropy.dev", "checkedAt": "2026-10-04T13:04:15.835541457Z" }, "pages": [ { "url": "https://www.zeroentropy.dev/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-08T18:31:50.678044456Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e17c53db6505" }, { "url": "https://www.zeroentropy.dev/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-08T18:31:52.821689525Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "f3a8554b48fc" } ], "updatedAt": "2026-10-08T19:09:02.954999329Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Nomic, Inc.", "b": "ZeroEntropy", "name": "Vendor" }, { "a": "https://api-atlas.nomic.ai/v1/embedding/text", "b": "https://api.zeroentropy.dev/v1/models/rerank", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "$0.10 per 1M tokens", "b": "not published", "name": "Price for embed text" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary hosted API. Model weights Apache-2.0 on Hugging Face. The Python client declares Apache in setup.py and the TypeScript client is MIT", "b": "Apache-2.0 (SDKs and model weights)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2025-11-11", "b": "2026-03-02", "name": "Last release" }, { "a": "no document linked", "b": "2025-10-07", "name": "Terms last updated" }, { "a": "no document linked", "b": "2025-11-04", "name": "Privacy policy last updated" }, { "a": "", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "", "b": "yes", "name": "Terms restrict automated access" }, { "a": "", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk", "b": "221k npm/wk", "name": "Popularity" }, { "a": "none", "b": "1/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Nomic Embed scores 49.2 (D) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in 6 of 7 scored categories. ZeroEntropy zerank and zembed leads on transparency \u0026 trust.", "question": "Which is better for AI agents, Nomic Embed or ZeroEntropy zerank and zembed?" }, { "answer": "Both need an API key.", "question": "Do Nomic Embed and ZeroEntropy zerank and zembed need an API key?" }, { "answer": "Yes. Nomic Embed has a hosted endpoint at https://api-atlas.nomic.ai/v1/embedding/text and ZeroEntropy zerank and zembed at https://api.zeroentropy.dev/v1/models/rerank.", "question": "Can an agent call Nomic Embed and ZeroEntropy zerank and zembed without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 38 against 0", "Schema \u0026 documentation, 65 against 31", "Agent ergonomics, 69 against 20", "Security \u0026 auth, 62 against 25", "Payments \u0026 pricing, 20 against 0", "Maintenance \u0026 community, 28 against 5" ], "also": [ "No incidents deducted, where ZeroEntropy zerank and zembed loses 4 points for them" ], "goodFor": "Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way.", "slug": "nomic-embed", "watchFor": "docs.nomic.ai/llms.txt and www.nomic.ai now describe a product for architecture, engineering and construction firms, and the documentation index no longer lists the embedding pages" }, { "aheadOn": [ "Transparency \u0026 trust, 52 against 46" ], "also": null, "goodFor": "Only as open weights for teams that can self-host a reranker or embedding model.", "slug": "zeroentropy", "watchFor": "The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026" } ], "job": { "capability": "embed.text", "name": "Embed text" }, "others": [ { "json": "https://www.anchorterminal.com/compare/cohere-embed-vs-nomic-embed.json", "title": "Cohere Embed and Rerank vs Nomic Embed", "url": "https://www.anchorterminal.com/compare/cohere-embed-vs-nomic-embed" }, { "json": "https://www.anchorterminal.com/compare/cohere-embed-vs-zeroentropy.json", "title": "Cohere Embed and Rerank vs ZeroEntropy zerank and zembed", "url": "https://www.anchorterminal.com/compare/cohere-embed-vs-zeroentropy" }, { "json": "https://www.anchorterminal.com/compare/gemini-embedding-vs-nomic-embed.json", "title": "Gemini Embedding vs Nomic Embed", "url": "https://www.anchorterminal.com/compare/gemini-embedding-vs-nomic-embed" }, { "json": "https://www.anchorterminal.com/compare/gemini-embedding-vs-zeroentropy.json", "title": "Gemini Embedding vs ZeroEntropy zerank and zembed", "url": "https://www.anchorterminal.com/compare/gemini-embedding-vs-zeroentropy" }, { "json": "https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.json", "title": "Jina Embeddings and Reranker vs Nomic Embed", "url": "https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed" }, { "json": "https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy.json", "title": "Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed", "url": "https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy" }, { "json": "https://www.anchorterminal.com/compare/mistral-embeddings-vs-nomic-embed.json", "title": "Mistral Embed and Codestral Embed vs Nomic Embed", "url": "https://www.anchorterminal.com/compare/mistral-embeddings-vs-nomic-embed" }, { "json": "https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.json", "title": "Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed", "url": "https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy" }, { "json": "https://www.anchorterminal.com/compare/nomic-embed-vs-openai-embeddings.json", "title": "Nomic Embed vs OpenAI embeddings", "url": "https://www.anchorterminal.com/compare/nomic-embed-vs-openai-embeddings" }, { "json": "https://www.anchorterminal.com/compare/nomic-embed-vs-voyage-ai.json", "title": "Nomic Embed vs Voyage AI embeddings and rerankers", "url": "https://www.anchorterminal.com/compare/nomic-embed-vs-voyage-ai" }, { "json": "https://www.anchorterminal.com/compare/openai-embeddings-vs-zeroentropy.json", "title": "OpenAI embeddings vs ZeroEntropy zerank and zembed", "url": "https://www.anchorterminal.com/compare/openai-embeddings-vs-zeroentropy" }, { "json": "https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy.json", "title": "Voyage AI embeddings and rerankers vs ZeroEntropy zerank and zembed", "url": "https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy" } ], "scores": [ { "by": 38, "edge": "nomic-embed", "key": "reliability", "name": "Reliability", "nomic-embed": 38, "weight": 16, "zeroentropy": 0 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 34, "edge": "nomic-embed", "key": "schema", "name": "Schema \u0026 documentation", "nomic-embed": 65, "weight": 13, "zeroentropy": 31 }, { "by": 49, "edge": "nomic-embed", "key": "ergonomics", "name": "Agent ergonomics", "nomic-embed": 69, "weight": 13, "zeroentropy": 20 }, { "by": 37, "edge": "nomic-embed", "key": "security", "name": "Security \u0026 auth", "nomic-embed": 62, "weight": 14, "zeroentropy": 25 }, { "by": 20, "edge": "nomic-embed", "key": "payments", "name": "Payments \u0026 pricing", "nomic-embed": 20, "weight": 10, "zeroentropy": 0 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 23, "edge": "nomic-embed", "key": "maintenance", "name": "Maintenance \u0026 community", "nomic-embed": 28, "weight": 7, "zeroentropy": 5 }, { "by": 6, "edge": "zeroentropy", "key": "transparency", "name": "Transparency \u0026 trust", "nomic-embed": 46, "weight": 7, "zeroentropy": 52 } ], "summary": "Nomic Embed scores 49.2 (D) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in 6 of 7 scored categories. ZeroEntropy zerank and zembed leads on transparency \u0026 trust. Both do embed text.", "verdicts": { "nomic-embed": "The text models have Apache-2.0 weights and a public OpenAPI 3.1 contract, so vectors made through the hosted endpoint can be reproduced locally. Nomic's current site and documentation index describe a construction-industry product, no rendered public page prices the endpoint, and no published terms or status component name it.", "zeroentropy": "All four models now open weights under Apache 2.0 on Hugging Face. The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy", "json": "https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.md", "slim": "https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.min.md" }, "markdown": "Nomic Embed scores 49.2 (D) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in 6 of 7 scored categories. ZeroEntropy zerank and zembed leads on transparency \u0026 trust. Both do embed text.\n\n- Nomic Embed: grade D, 49.2/100, rank #532 of 629. Markdown https://www.anchorterminal.com/tools/nomic-embed.md · JSON https://www.anchorterminal.com/api/v1/tools/nomic-embed.json\n- ZeroEntropy zerank and zembed: grade F, 13.7/100, rank #626 of 629. Markdown https://www.anchorterminal.com/tools/zeroentropy.md · JSON https://www.anchorterminal.com/api/v1/tools/zeroentropy.json\n\n## Which one, for what\n\n### Nomic Embed (D)\n\nGood for: Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way.\n\nAhead on:\n- Reliability, 38 against 0\n- Schema \u0026 documentation, 65 against 31\n- Agent ergonomics, 69 against 20\n- Security \u0026 auth, 62 against 25\n- Payments \u0026 pricing, 20 against 0\n- Maintenance \u0026 community, 28 against 5\n\nAlso in its favour:\n- No incidents deducted, where ZeroEntropy zerank and zembed loses 4 points for them\n\nWatch for: docs.nomic.ai/llms.txt and www.nomic.ai now describe a product for architecture, engineering and construction firms, and the documentation index no longer lists the embedding pages\n\n### ZeroEntropy zerank and zembed (F)\n\nGood for: Only as open weights for teams that can self-host a reranker or embedding model.\n\nAhead on:\n- Transparency \u0026 trust, 52 against 46\n\nWatch for: The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026\n\n\n## Score by category\n\n| Category | Weight | Nomic Embed | ZeroEntropy zerank and zembed | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 38 | 0 | Nomic Embed +38 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 31 | Nomic Embed +34 |\n| Agent ergonomics | 13% (16.2 this run) | 69 | 20 | Nomic Embed +49 |\n| Security \u0026 auth | 14% (17.5 this run) | 62 | 25 | Nomic Embed +37 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 0 | Nomic Embed +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 28 | 5 | Nomic Embed +23 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 46 | 52 | ZeroEntropy zerank and zembed +6 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **49.2 · D** | **13.7 · F** | |\n\n## Facts side by side\n\n| Fact | Nomic Embed | ZeroEntropy zerank and zembed |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Nomic, Inc. | ZeroEntropy |\n| Hosted endpoint | `https://api-atlas.nomic.ai/v1/embedding/text` | `https://api.zeroentropy.dev/v1/models/rerank` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| Price for embed text | $0.10 per 1M tokens | not published |\n| x402 | no | no |\n| Licence | Proprietary hosted API. Model weights Apache-2.0 on Hugging Face. The Python client declares Apache in setup.py and the TypeScript client is MIT | Apache-2.0 (SDKs and model weights) |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2025-11-11 | 2026-03-02 |\n| Terms last updated | no document linked | 2025-10-07 |\n| Privacy policy last updated | no document linked | 2025-11-04 |\n| Customer content may train models | | not found in the text |\n| Terms restrict automated access | | yes |\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 | 1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk | 221k npm/wk |\n| Agent reviews | none | 1/5 (2) |\n\n## Verdicts\n\n**Nomic Embed.** The text models have Apache-2.0 weights and a public OpenAPI 3.1 contract, so vectors made through the hosted endpoint can be reproduced locally. Nomic's current site and documentation index describe a construction-industry product, no rendered public page prices the endpoint, and no published terms or status component name it.\n\n**ZeroEntropy zerank and zembed.** All four models now open weights under Apache 2.0 on Hugging Face. The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026.\n\n## Before you call either\n\n### Nomic Embed\n\n1. Set task_type to search_query for queries and search_document for stored text. The default is search_document\n2. Name the model in every request. The API defaults to nomic-embed-text-v1, while the Python client defaults to nomic-embed-text-v1.5\n3. Keep under 1,200 requests per five minutes per IP address. The Python client sends at most 10 texts a request\n4. Set long_text_mode to truncate or mean. Texts over 8,192 tokens are averaged across chunks by default on the API\n5. Pass dimensionality only with nomic-embed-text-v1.5, between 64 and 768\n\n### ZeroEntropy zerank and zembed\n\n1. Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says\n2. Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model\n3. Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage\n4. Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible\n\n## Questions\n\n### Which is better for AI agents, Nomic Embed or ZeroEntropy zerank and zembed?\n\nNomic Embed scores 49.2 (D) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in 6 of 7 scored categories. ZeroEntropy zerank and zembed leads on transparency \u0026 trust.\n\n### Do Nomic Embed and ZeroEntropy zerank and zembed need an API key?\n\nBoth need an API key.\n\n### Can an agent call Nomic Embed and ZeroEntropy zerank and zembed without installing anything?\n\nYes. Nomic Embed has a hosted endpoint at https://api-atlas.nomic.ai/v1/embedding/text and ZeroEntropy zerank and zembed at https://api.zeroentropy.dev/v1/models/rerank.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.json, and with the fewest tokens: https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"nomic-embed\", \"b\": \"zeroentropy\"}`. From a terminal: `anchor compare nomic-embed zeroentropy`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/nomic-embed.json and https://www.anchorterminal.com/api/v1/tools/zeroentropy.json\n\n## Other comparisons with Nomic Embed or ZeroEntropy zerank and zembed\n\n- [Cohere Embed and Rerank vs Nomic Embed](https://www.anchorterminal.com/compare/cohere-embed-vs-nomic-embed.md)\n- [Cohere Embed and Rerank vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/cohere-embed-vs-zeroentropy.md)\n- [Gemini Embedding vs Nomic Embed](https://www.anchorterminal.com/compare/gemini-embedding-vs-nomic-embed.md)\n- [Gemini Embedding vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/gemini-embedding-vs-zeroentropy.md)\n- [Jina Embeddings and Reranker vs Nomic Embed](https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.md)\n- [Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy.md)\n- [Mistral Embed and Codestral Embed vs Nomic Embed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-nomic-embed.md)\n- [Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.md)\n- [Nomic Embed vs OpenAI embeddings](https://www.anchorterminal.com/compare/nomic-embed-vs-openai-embeddings.md)\n- [Nomic Embed vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/nomic-embed-vs-voyage-ai.md)\n- [OpenAI embeddings vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/openai-embeddings-vs-zeroentropy.md)\n- [Voyage AI embeddings and rerankers vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-08", "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": "Nomic Embed vs ZeroEntropy zerank and zembed", "url": "" } ], "description": "Nomic Embed scores 49.2 (D) on agent readiness against ZeroEntropy zerank and zembed's 13.7 (F), and leads in 6 of 7 scored categories. ZeroEntropy zerank and zembed leads on transparency \u0026 trust. Both do embed text. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Nomic Embed D 49.2", "ZeroEntropy zerank and zembed F 13.7", "scores" ], "h1": "Nomic Embed vs ZeroEntropy zerank and zembed", "image": "https://www.anchorterminal.com/assets/og/compare-nomic-embed-vs-zeroentropy.png", "path": "/compare/nomic-embed-vs-zeroentropy", "published": "2026-10-01", "section": "tools", "title": "Nomic Embed vs ZeroEntropy zerank and zembed for AI agents", "toc": null, "updated": "2026-10-08", "url": "https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy" }, "tokens": { "markdown": 2200, "slim": 780 }, "version": 1 }