# Cohere Embed vs sentence-transformers

**Leader by vioscaleAI score:** Cohere Embed

| Attribute | Cohere Embed | sentence-transformers |
|---|---|---|
| **vioscaleAI score** | 65.3 (60% (medium)) | 58.9 (54% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5,182 |
| adoption.github_stars | - | 19,174 |
| content.faq | `[{"answer":"A semantic embedding service that transforms text into vectors for similarity search, document comparison, and information discovery. Supports deployment within customer infrastructure with full data control. It is indexed under Embeddings Apis.","source":"https://cohere.com/de/pricing","question":"What is Cohere Embed?","confidence":0.6},{"answer":"Cohere Embed offers a free tier, so you can start without paying. Paid plans start at $0.10. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://cohere.com/de/pricing","question":"Is Cohere Embed free?","confidence":0.6},{"answer":"Cohere Embed supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://cohere.com/de/pricing","question":"What platforms does Cohere Embed support?","confidence":0.6},{"answer":"Yes. Cohere Embed can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://cohere.com/de/pricing","question":"Can Cohere Embed be self-hosted?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 and GDPR for Cohere Embed. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Cohere Embed not holding them. Always confirm compliance directly before you rely on it.","source":"https://cohere.com/de/security","question":"What security certifications does Cohere Embed have?","confidence":0.7},{"answer":"Cohere Embed is available worldwide. The vendor is headquartered in Canada.","source":"https://cohere.com/de/pricing","question":"Where is Cohere Embed available?","confidence":0.75}]` | `[{"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,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | A family of embedding models designed to encode text into numerical vectors for retrieval, semantic search, and machine learning tasks across multiple languages and use cases. | 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 | `{"soc2_type_ii":true,"pricing_model":"per_million_tokens_api","architecture_model":"managed_cloud_api","multi_modal_image_and_text_joint_embeddings":true,"multilingual_support_across_100_plus_languages":true,"zero_data_retention_training_opt_out_enterprise":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 |
| integrations.list | - | `[{"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","plans":[{"free":true,"name":"Test","summary":"Free tier","features":["Rate-limited API access"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Free test API key with rate limiting, not for production","contactSales":false},{"free":false,"name":"Production","summary":"Pay-as-you-go; billed at month-end or when $250 balance reached","features":["Production API keys","Scalable usage"],"components":[{"per":{"qty":1,"unit":"operation"},"kind":"metered","amount":0.1,"currency":"USD"}],"description":"Pay-as-you-go production access","contactSales":false}],"summary":"Free test tier; production on consumption basis","currency":"USD","freeTier":true,"sourceUrl":"https://cohere.com/de/pricing","retrievedAt":"2026-09-06T16:26:57.622Z","startingPrice":{"unit":"operation","amount":0.1,"currency":"USD"},"billingPeriods":["month"]}` | `{"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.starting_price | `{"amount":0.1,"currency":"USD"}` | - |
| pricing.transparent | yes | 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.certifications | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"}]` | - |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.soc2 | yes | - |
| security.trust_center | https://cohere.com/security | - |
| 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 | Cohere 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 | Per million tokens API | Free open weights |

*Source: vioscaleAI. Generated 2026-10-16T18:28:40.438Z. "-" = undocumented, not absent.*