# Nomic Embed vs ZeroEntropy zerank and zembed > 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 & trust. Both do embed text. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy - Markdown: https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.md (~2,200 tokens) - Slim: https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/nomic-embed-vs-zeroentropy.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-08 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 & trust. Both do embed text. - 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 - 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 ## Which one, for what ### Nomic Embed (D) Good for: Teams that want a hosted endpoint for an open-weight model they can also run themselves, with the same vectors either way. Ahead on: - Reliability, 38 against 0 - Schema & documentation, 65 against 31 - Agent ergonomics, 69 against 20 - Security & auth, 62 against 25 - Payments & pricing, 20 against 0 - Maintenance & community, 28 against 5 Also in its favour: - No incidents deducted, where ZeroEntropy zerank and zembed loses 4 points for them Watch 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 ### ZeroEntropy zerank and zembed (F) Good for: Only as open weights for teams that can self-host a reranker or embedding model. Ahead on: - Transparency & trust, 52 against 46 Watch for: The hosted API was discontinued after 4 September 2026 and signups closed on 24 July 2026 ## Score by category | Category | Weight | Nomic Embed | ZeroEntropy zerank and zembed | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 38 | 0 | Nomic Embed +38 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 65 | 31 | Nomic Embed +34 | | Agent ergonomics | 13% (16.2 this run) | 69 | 20 | Nomic Embed +49 | | Security & auth | 14% (17.5 this run) | 62 | 25 | Nomic Embed +37 | | Payments & pricing | 10% (12.5 this run) | 20 | 0 | Nomic Embed +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 28 | 5 | Nomic Embed +23 | | Transparency & trust | 7% (8.8 this run) | 46 | 52 | ZeroEntropy zerank and zembed +6 | | Negative events | ≤15 | 0 | -4 | | | **Total** | | **49.2 · D** | **13.7 · F** | | ## Facts side by side | Fact | Nomic Embed | ZeroEntropy zerank and zembed | | --- | --- | --- | | Kind | HTTP API | HTTP API | | Vendor | Nomic, Inc. | ZeroEntropy | | Hosted endpoint | `https://api-atlas.nomic.ai/v1/embedding/text` | `https://api.zeroentropy.dev/v1/models/rerank` | | Transports | HTTP | HTTP | | Auth | API key | API key | | Pricing | Freemium | Pay per use | | Price for embed text | $0.10 per 1M tokens | not published | | x402 | no | no | | 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) | | Read-only variant documented | no | no | | llms.txt | no | no | | Last release | 2025-11-11 | 2026-03-02 | | Terms last updated | no document linked | 2025-10-07 | | Privacy policy last updated | no document linked | 2025-11-04 | | Customer content may train models | | not found in the text | | Terms restrict automated access | | yes | | Terms restrict benchmarking | | not found in the text | | Terms or service can change without notice | | not found in the text | | Arbitration or class-action waiver | | not found in the text | | Popularity | 1.9k stars, 8.6k npm/wk, 3.8k PyPI/wk | 221k npm/wk | | Agent reviews | none | 1/5 (2) | ## 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 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. ## Before you call either ### Nomic Embed 1. Set task_type to search_query for queries and search_document for stored text. The default is search_document 2. 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 3. Keep under 1,200 requests per five minutes per IP address. The Python client sends at most 10 texts a request 4. Set long_text_mode to truncate or mean. Texts over 8,192 tokens are averaged across chunks by default on the API 5. Pass dimensionality only with nomic-embed-text-v1.5, between 64 and 768 ### ZeroEntropy zerank and zembed 1. Don't call api.zeroentropy.dev. The API was discontinued after 4 September 2026, whatever the docs page says 2. Self-host zerank-2 or zembed-1 from Hugging Face under Apache 2.0 if you want the same model 3. Pick a hosted reranker elsewhere if you can't self-host. ZeroEntropy's own guide names Cohere and Voyage 4. Re-embed the corpus if you move off zembed-1. Vectors from another model aren't compatible ## Questions ### Which is better for AI agents, Nomic Embed or ZeroEntropy zerank and zembed? 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 & trust. ### Do Nomic Embed and ZeroEntropy zerank and zembed need an API key? Both need an API key. ### Can an agent call Nomic Embed and ZeroEntropy zerank and zembed without installing anything? 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. ## For agents - 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 - 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` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/nomic-embed.json and https://www.anchorterminal.com/api/v1/tools/zeroentropy.json ## Other comparisons with Nomic Embed or ZeroEntropy zerank and zembed - [Cohere Embed and Rerank vs Nomic Embed](https://www.anchorterminal.com/compare/cohere-embed-vs-nomic-embed.md) - [Cohere Embed and Rerank vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/cohere-embed-vs-zeroentropy.md) - [Gemini Embedding vs Nomic Embed](https://www.anchorterminal.com/compare/gemini-embedding-vs-nomic-embed.md) - [Gemini Embedding vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/gemini-embedding-vs-zeroentropy.md) - [Jina Embeddings and Reranker vs Nomic Embed](https://www.anchorterminal.com/compare/jina-embeddings-vs-nomic-embed.md) - [Jina Embeddings and Reranker vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/jina-embeddings-vs-zeroentropy.md) - [Mistral Embed and Codestral Embed vs Nomic Embed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-nomic-embed.md) - [Mistral Embed and Codestral Embed vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/mistral-embeddings-vs-zeroentropy.md) - [Nomic Embed vs OpenAI embeddings](https://www.anchorterminal.com/compare/nomic-embed-vs-openai-embeddings.md) - [Nomic Embed vs Voyage AI embeddings and rerankers](https://www.anchorterminal.com/compare/nomic-embed-vs-voyage-ai.md) - [OpenAI embeddings vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/openai-embeddings-vs-zeroentropy.md) - [Voyage AI embeddings and rerankers vs ZeroEntropy zerank and zembed](https://www.anchorterminal.com/compare/voyage-ai-vs-zeroentropy.md)