# BAAI FlagEmbedding vs Cohere Embed

**Leader by vioscaleAI score:** Cohere Embed

| Attribute | BAAI FlagEmbedding | Cohere Embed |
|---|---|---|
| **vioscaleAI score** | 48 (45% (low)) | 65.3 (60% (medium)) |
| activity.commits_last_30d | 13 | - |
| adoption.dependent_repos | 1 | - |
| adoption.github_stars | 12,203 | - |
| content.faq | `[{"answer":"A library of state-of-the-art embedding models supporting dense, lexical, and cross-encoder retrieval methods for text and image search, available as free and open-source software. It is indexed under Embeddings Apis.","source":"https://github.com/pricing","question":"What is BAAI FlagEmbedding?","confidence":0.6},{"answer":"BAAI FlagEmbedding is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.","source":"https://github.com/pricing","question":"Is BAAI FlagEmbedding free to use?","confidence":0.6},{"answer":"BAAI FlagEmbedding supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://github.com/pricing","question":"What platforms does BAAI FlagEmbedding support?","confidence":0.6},{"answer":"Yes. BAAI FlagEmbedding can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can BAAI FlagEmbedding be self-hosted?","confidence":0.6},{"answer":"Yes. BAAI FlagEmbedding is published under the MIT 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/FlagOpen/FlagEmbedding","question":"Is BAAI FlagEmbedding open source?","confidence":0.95}]` | `[{"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}]` |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` |
| description.long | A library of state-of-the-art embedding models supporting dense, lexical, and cross-encoder retrieval methods for text and image search, available as free and open-source software. | 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. |
| features.capabilities | `{"pricing_model":"free_open_weights","architecture_model":"open_weights_local","cross_encoder_reranker_api_offered":true,"mit_or_apache_permissive_oss_license":true,"late_interaction_architecture_colbert_v2":true,"multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":true}` | `{"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}` |
| language.primary | Python | - |
| license.spdx | MIT | - |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","summary":"Free and open source under MIT license","freeTier":true,"sourceUrl":"https://github.com/pricing","retrievedAt":"2026-08-21T11:06:33.625Z"}` | `{"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"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.1,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 104 | - |
| release.history | `[{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.4.2","date":"2026-08-24T02:55:16Z","type":"stable","version":"v1.4.2"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.4.1","date":"2026-08-23T12:48:07Z","type":"stable","version":"v1.4.1"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.4.0","date":"2026-04-22T15:59:10Z","type":"stable","version":"v1.4.0"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.3.5","date":"2025-05-28T07:14:20Z","type":"stable","version":"v1.3.5"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.3.4","date":"2025-02-07T14:14:41Z","type":"stable","version":"v1.3.4"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.3.2-BGE-Update","date":"2024-10-31T16:23:48Z","type":"stable","version":"v1.3.2-BGE-Update"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/BGE-M3%26Beacon","date":"2024-02-02T05:57:07Z","type":"stable","version":"BGE-M3&Beacon"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/lm-cocktail","date":"2023-11-24T09:22:50Z","type":"stable","version":"lm-cocktail"},{"url":"https://github.com/FlagOpen/FlagEmbedding/releases/tag/1.1","date":"2023-09-28T07:43:03Z","type":"stable","version":"1.1"}]` | - |
| 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":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=flagembedding&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Embeddings Apis)

| Capability | BAAI FlagEmbedding | Cohere Embed |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Open weights local | Managed cloud API |
| 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 | Per million tokens API |

*Source: vioscaleAI. Generated 2026-10-16T20:10:34.139Z. "-" = undocumented, not absent.*