# Google Vertex AI Text Embeddings vs sentence-transformers

**Leader by vioscaleAI score:** sentence-transformers

| Attribute | Google Vertex AI Text Embeddings | sentence-transformers |
|---|---|---|
| **vioscaleAI score** | 45.6 (35% (low)) | 58.9 (54% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5,182 |
| adoption.github_stars | - | 19,174 |
| content.faq | `[{"answer":"A cloud-based API that transforms text into high-dimensional vector embeddings using deep learning. Supports multiple languages and task types, integrating with vector databases for efficient semantic search. It is indexed under Embeddings Apis.","source":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","question":"What is Google Vertex AI Text Embeddings?","confidence":0.6},{"answer":"We have confirmed browser-based access to Google Vertex AI Text Embeddings. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","question":"What platforms does Google Vertex AI Text Embeddings support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for Google Vertex AI Text Embeddings, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","question":"Can Google Vertex AI Text Embeddings be self-hosted?","confidence":0.6},{"answer":"Google Vertex AI Text Embeddings is available worldwide. Its primary market is the United States.","source":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","question":"Where is Google Vertex AI Text Embeddings available?","confidence":0.5}]` | `[{"answer":"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. It is indexed under Embeddings Apis.","source":"https://www.sbert.net","question":"What is sentence-transformers?","confidence":0.6},{"answer":"sentence-transformers is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://www.sbert.net","question":"Is sentence-transformers free to use?","confidence":0.6},{"answer":"Yes. sentence-transformers can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.sbert.net","question":"Can sentence-transformers be self-hosted?","confidence":0.6},{"answer":"Yes. sentence-transformers is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/huggingface/sentence-transformers","question":"Is sentence-transformers open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true}` | `{"self_hosted":true}` |
| description.long | A cloud-based API that transforms text into high-dimensional vector embeddings using deep learning. Supports multiple languages and task types, integrating with vector databases for efficient semantic search. | 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 | `{"pricing_model":"per_million_tokens_api","architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":true,"task_specific_prefixes_query_vs_document_instructions":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 | 1 | 1 |
| integrations.list | `[{"name":"Vector Search"}]` | `[{"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":[]}` |
| platform.support | `{"cli":true,"web":true}` | - |
| pricing | `{"type":"usage","summary":"Usage-based pricing; new customers receive $300 in free credits","currency":"USD","freeTier":true,"sourceUrl":"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings","retrievedAt":"2026-10-02T10:50:37.470Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://www.sbert.net","retrievedAt":"2026-08-21T11:02:44.703Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.transparent | no | yes |
| release.cadence_days | - | 27 |
| release.history | - | `[{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v6.1.0","date":"2026-09-18T10:44:39Z","type":"stable","version":"v6.1.0"},{"url":"https://github.com/huggingface/sentence-transformers/releases/tag/v6.0.1","date":"2026-08-31T07:50:59Z","type":"stable","version":"v6.0.1"},{"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"}]` |
| security.vulnerabilities | - | `{"count":1,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=sentence-transformers&per_page=100","last_12m":1,"max_severity":"CRITICAL"}` |

## Capabilities (Embeddings Apis)

| Capability | Google Vertex AI Text Embeddings | 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 | Per million tokens API | Free open weights |

*Source: vioscaleAI. Generated 2026-10-16T18:33:39.180Z. "-" = undocumented, not absent.*