# Cohere Embed vs Voyage AI

**Leader by vioscaleAI score:** Cohere Embed

| Attribute | Cohere Embed | Voyage AI |
|---|---|---|
| **vioscaleAI score** | 65.3 (60% (medium)) | 41.9 (37% (low)) |
| 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":"A platform providing advanced embedding and reranking models designed to improve search accuracy and quality in retrieval-augmented generation workflows with support for various data types and deployment scenarios. It is indexed under Embeddings Apis.","source":"https://www.voyageai.com","question":"What is Voyage AI?","confidence":0.6},{"answer":"Not fully, on what we have confirmed. Voyage AI is offered as cloud / SaaS and hybrid, and a hybrid deployment usually means some components can run on your own infrastructure while the rest stays vendor-hosted. We have not confirmed a completely self-hosted option, so check with the vendor if that is a requirement.","source":"https://www.voyageai.com","question":"Can Voyage AI be self-hosted?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 for Voyage AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Voyage AI not holding them. Always confirm compliance directly before you rely on it.","source":"https://www.voyageai.com","question":"What security certifications does Voyage AI have?","confidence":0.48}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":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. | Voyage AI offers neural embedding and reranking models designed to enhance information retrieval and relevance ranking in systems that process large collections of unstructured text. The models are optimized for question-answering and search applications that need to find and rank relevant documents efficiently. |
| 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}` | `{"architecture_model":"managed_cloud_api","cross_encoder_reranker_api_offered":true,"multi_modal_image_and_text_joint_embeddings":true,"massive_context_window_greater_than_8k_tokens":true,"multilingual_support_across_100_plus_languages":true}` |
| integrations.count | - | 1 |
| integrations.list | - | `[{"name":"vector databases"},{"name":"LLMs"},{"name":"MongoDB","native":true}]` |
| market.availability | `{"primaryMarkets":["US"],"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"]}` | - |
| pricing.free_tier | yes | - |
| pricing.model | freemium | commercial |
| pricing.price_level | low | - |
| pricing.starting_price | `{"amount":0.1,"currency":"USD"}` | - |
| pricing.transparent | yes | - |
| security.certifications | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"}]` | - |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.soc2 | yes | yes |
| security.trust_center | https://cohere.com/security | - |

## Capabilities (Embeddings Apis)

| Capability | Cohere Embed | Voyage AI |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Managed cloud API | 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 | Per million tokens API | - |

*Source: vioscaleAI. Generated 2026-10-16T20:15:14.659Z. "-" = undocumented, not absent.*