Cohere Embed vs Voyage AI (MongoDB)
Cohere Embed vs Voyage AI (MongoDB): side-by-side comparison of two embedding & reranker services systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Cost & capability
| Cohere Embed | Voyage AI (MongoDB) | |
|---|---|---|
| Cost tier | searched not found | searched not found |
| $/Mtok input | searched not found | searched not found |
| $/Mtok output | searched not found | searched not found |
Where they differ (9)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Cohere Embed | Voyage AI (MongoDB) | |
|---|---|---|
| Type | Hosted embeddings API | Premium embedding + reranker API |
| Created | 2021 | 2023 |
| Latest release | Embed 5 (2026-09-30) | v0.5.0 (2026-07-10) — voyageai (PyPI) |
| License | proprietary; Python SDK MIT | proprietary; SDKs MIT (Python, TypeScript) |
| GitHub | cohere-ai/cohere-python — ~406 stars, last commit 2026-10 (official Python SDK) | voyage-ai/voyageai-python — ~114 stars, last commit 2026-10 (official Python SDK) |
| Pricing | Model Vault dedicated instances: Embed 5 Fast/Pro Small $3.00/hour ($2,000/month), Medium $5.00/hour ($3,250/month); Rerank 5 Fast Medium $4.00/hour ($2,500/month); embed models billed per token embedded, rerank per search on the API | Per-token with free allowance: voyage-4-large $0.12/1M tokens, voyage-4 $0.06, voyage-4-lite $0.02 (first 200M tokens free); rerank-3 $0.05/1M, rerank-3-lite $0.02/1M; multimodal $0.12/1M tokens + $0.60/1B pixels |
| Funding | Cohere raised $500M Series D 2024-07 ($5.5B valuation; PSP Investments + Cisco led); ~$970M total. | Acquired by MongoDB for $220M in 2025-02; previously $28M total (Series A 2024 led by CRV). |
| Deployment | Both (self-hosted + managed cloud) — Cohere API and Model Vault; deployable in customer cloud via Amazon SageMaker, Azure AI Foundry and Oracle OCI | Both (self-hosted + managed cloud) — Voyage API; AWS and Azure Marketplace model packages in customer VPC; on-prem and model licensing by request |
| API surface | REST API (Embed, Rerank endpoints), Python SDK, TypeScript SDK | REST API, Python SDK, TypeScript SDK |
At a glance
| Cohere Embed | Voyage AI (MongoDB) | |
|---|---|---|
| Section | Embedding & reranker services | Embedding & reranker services |
| Tier | T1 | T1 |
| Type | Hosted embeddings API | Premium embedding + reranker API |
| Created | 2021 | 2023 |
| Latest release | Embed 5 (2026-09-30) | v0.5.0 (2026-07-10) — voyageai (PyPI) |
| License | proprietary; Python SDK MIT | proprietary; SDKs MIT (Python, TypeScript) |
| GitHub | cohere-ai/cohere-python — ~406 stars, last commit 2026-10 (official Python SDK) | voyage-ai/voyageai-python — ~114 stars, last commit 2026-10 (official Python SDK) |
| Pricing | Model Vault dedicated instances: Embed 5 Fast/Pro Small $3.00/hour ($2,000/month), Medium $5.00/hour ($3,250/month); Rerank 5 Fast Medium $4.00/hour ($2,500/month); embed models billed per token embedded, rerank per search on the API | Per-token with free allowance: voyage-4-large $0.12/1M tokens, voyage-4 $0.06, voyage-4-lite $0.02 (first 200M tokens free); rerank-3 $0.05/1M, rerank-3-lite $0.02/1M; multimodal $0.12/1M tokens + $0.60/1B pixels |
| Funding | Cohere raised $500M Series D 2024-07 ($5.5B valuation; PSP Investments + Cisco led); ~$970M total. | Acquired by MongoDB for $220M in 2025-02; previously $28M total (Series A 2024 led by CRV). |
| Backend storage | searched not found | searched not found |
| Deployment | Both (self-hosted + managed cloud) — Cohere API and Model Vault; deployable in customer cloud via Amazon SageMaker, Azure AI Foundry and Oracle OCI | Both (self-hosted + managed cloud) — Voyage API; AWS and Azure Marketplace model packages in customer VPC; on-prem and model licensing by request |
| API surface | REST API (Embed, Rerank endpoints), Python SDK, TypeScript SDK | REST API, Python SDK, TypeScript SDK |
| Embedding | searched not found | searched not found |
| Multi-tenancy | searched not found | searched not found |
| MCP | searched not found | searched not found |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | searched not found |
| Optimised for | searched not found | searched not found |
| Anti-fit | searched not found | searched not found |
Pros & cons
Cohere Embed
Pros: searched not found
Cons: searched not found
Voyage AI (MongoDB)
Pros: searched not found
Cons: searched not found