# Nomic Embed vs sentence-transformers

| Attribute | Nomic Embed | sentence-transformers |
|---|---|---|
| **Vioscale score** | 29.6 (36% (low)) | 56 (32% (low)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5,182 |
| adoption.github_stars | - | 19,036 |
| deployment.options | - | `{"self_hosted":true}` |
| description.long | A cloud-based AI platform purpose-built for architecture and construction professionals that automatically parses complex multimodal documents—including drawings, specifications, and project files—and provides intelligent agents for reviewing designs, checking compliance, and searching project knowledge. | Python toolkit for generating semantic embeddings from text, images, audio, and video using transformer-based neural networks. Supports dense embedding models, cross-encoder rerankers for scoring and ranking, and late-interaction multi-vector models for advanced retrieval tasks. |
| features.capabilities | `{"architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true}` | `{"pricing_model":"free_open_weights","architecture_model":"open_weights_local","cross_encoder_reranker_api_offered":true,"late_interaction_architecture_colbert_v2":true,"multi_modal_image_and_text_joint_embeddings":true}` |
| integrations.count | 6 | 1 |
| integrations.list | `[{"name":"Autodesk Forma"},{"name":"Fieldwire"},{"name":"Bentley ProjectWise"},{"name":"Procore"},{"name":"SharePoint"},{"name":"Egnyte"}]` | `[{"name":"Hugging Face Hub"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| pricing | `{"type":"subscription","plans":[{"free":false,"name":"Self Service","summary":"From $20/month","commitment":"monthly","components":[{"kind":"fixed","amount":20,"period":"month","currency":"USD"}],"contactSales":false}],"summary":"From $20/month","currency":"USD","freeTier":false,"sourceUrl":"https://nomic.ai","retrievedAt":"2026-08-21T13:54:31.185Z","startingPrice":{"amount":20,"period":"month","currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://www.sbert.net","retrievedAt":"2026-08-21T11:02:44.703Z"}` |
| pricing.free_tier | no | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | mid | free |
| pricing.starting_price | `{"amount":20,"currency":"USD"}` | - |
| pricing.transparent | no | yes |
| release.cadence_days | - | 27 |
| release.history | - | `[{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v6.0.0","date":"2026-08-18T13:46:07Z","type":"stable","version":"v6.0.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.7.0","date":"2026-08-06T12:12:42Z","type":"stable","version":"v5.7.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.6.1","date":"2026-07-23T14:42:08Z","type":"stable","version":"v5.6.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.6.0","date":"2026-06-16T14:02:15Z","type":"stable","version":"v5.6.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.5.1","date":"2026-05-20T07:37:38Z","type":"stable","version":"v5.5.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.5.0","date":"2026-05-12T14:06:38Z","type":"stable","version":"v5.5.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.4.1","date":"2026-04-14T13:35:25Z","type":"stable","version":"v5.4.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.4.0","date":"2026-04-09T13:41:49Z","type":"stable","version":"v5.4.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.3.0","date":"2026-03-12T14:54:11Z","type":"stable","version":"v5.3.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.3","date":"2026-02-17T14:06:18Z","type":"stable","version":"v5.2.3"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.2","date":"2026-01-27T11:11:19Z","type":"stable","version":"v5.2.2"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.1","date":"2026-01-26T14:48:31Z","type":"stable","version":"v5.2.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.2.0","date":"2025-12-11T14:12:37Z","type":"stable","version":"v5.2.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.1.2","date":"2025-10-22T13:00:25Z","type":"stable","version":"v5.1.2"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.1.1","date":"2025-09-22T11:28:54Z","type":"stable","version":"v5.1.1"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.1.0","date":"2025-08-06T13:49:08Z","type":"stable","version":"v5.1.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v5.0.0","date":"2025-07-01T13:56:10Z","type":"stable","version":"v5.0.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v4.1.0","date":"2025-04-15T13:47:13Z","type":"stable","version":"v4.1.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v4.0.2","date":"2025-04-03T11:29:10Z","type":"stable","version":"v4.0.2"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v4.0.1","date":"2025-03-26T14:59:03Z","type":"stable","version":"v4.0.1"}]` |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=sentence-transformers&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Embeddings Apis)

| Capability | Nomic Embed | sentence-transformers |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Managed cloud API | Open weights local |
| Matryoshka representation learning for dimension truncation | - | - |
| Multilingual support across 100 plus languages | - | - |
| Binary and scalar quantization for memory reduction | - | - |
| Cross encoder reranker API offered | - | ✓ |
| Late interaction architecture colbert v2 | - | ✓ |
| Massive context window greater than 8k tokens | - | - |
| Multi modal image and text joint embeddings | ✓ | ✓ |
| Task specific prefixes query vs document instructions | - | - |
| Zero data retention training opt out enterprise | - | - |
| SOC2 type ii | - | - |
| Mit or apache permissive oss license | - | - |
| Pricing model | - | Free open weights |

*Source: Vioscale. Generated 2026-09-01T15:16:27.376Z. "-" = undocumented, not absent.*