# Jina Embeddings vs sentence-transformers

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

| Attribute | Jina Embeddings | sentence-transformers |
|---|---|---|
| **vioscaleAI score** | 50.4 (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 multi-modal embedding API supporting text, images, audio, and video with support for multiple languages, long context windows, and flexible deployment options including cloud APIs and on-premises infrastructure. It is indexed under Embeddings Apis.","source":"https://jina.ai/embeddings","question":"What is Jina Embeddings?","confidence":0.6},{"answer":"Jina Embeddings offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://jina.ai/embeddings","question":"Is Jina Embeddings free?","confidence":0.6},{"answer":"Jina Embeddings supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://jina.ai/embeddings","question":"What platforms does Jina Embeddings support?","confidence":0.6},{"answer":"Yes. Jina Embeddings can be deployed cloud / SaaS, on-premise, air-gapped and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://jina.ai/embeddings","question":"Can Jina Embeddings be self-hosted?","confidence":0.6},{"answer":"We have confirmed 6 integrations for Jina Embeddings, including Claude, GPT-4o, Milvus, Elastic, Llama.cpp and MLX. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://jina.ai/embeddings","question":"What does Jina Embeddings integrate with?","confidence":0.6}]` | `[{"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,"on_prem":true,"air_gapped":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | Embedding models that process multiple data types in a shared vector space, supporting deployment options from managed cloud APIs to self-hosted and on-premises infrastructure. Available in multiple model sizes optimized for different performance and resource requirements. | 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":"hybrid","cross_encoder_reranker_api_offered":true,"mit_or_apache_permissive_oss_license":false,"multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":false,"zero_data_retention_training_opt_out_enterprise":true,"binary_and_scalar_quantization_for_memory_reduction":true,"task_specific_prefixes_query_vs_document_instructions":true,"matryoshka_representation_learning_for_dimension_truncation":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":"Claude"},{"name":"GPT-4o"},{"name":"Milvus"},{"name":"Elastic"},{"name":"Llama.cpp"},{"name":"MLX"}]` | `[{"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 | `{"web":true}` | - |
| pricing | `{"type":"hybrid","summary":"Pay-as-you-go API pricing or subscription billing through Elastic Inference Service. Free tier available.","currency":"USD","freeTier":true,"sourceUrl":"https://jina.ai/embeddings","retrievedAt":"2026-10-02T16:15:58.807Z"}` | `{"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 | Jina Embeddings | sentence-transformers |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Hybrid | 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: vioscaleAI. Generated 2026-10-16T20:02:49.785Z. "-" = undocumented, not absent.*