OpenAI Embeddings vs Voyage AI (MongoDB)
OpenAI Embeddings 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
| OpenAI Embeddings | 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.
| OpenAI Embeddings | Voyage AI (MongoDB) | |
|---|---|---|
| Type | OpenAI embedding API | Premium embedding + reranker API |
| Created | 2022-01 | 2023 |
| Latest release | v3.39.0 (2026-10-26) — openai (PyPI) | v0.5.0 (2026-07-10) — voyageai (PyPI) |
| License | proprietary; SDKs Apache-2.0 | proprietary; SDKs MIT (Python, TypeScript) |
| GitHub | openai/openai-python — ~32k stars, last commit 2026-10 (official Python SDK) | voyage-ai/voyageai-python — ~114 stars, last commit 2026-10 (official Python SDK) |
| Pricing | text-embedding-3-small $0.02 per 1M tokens; text-embedding-3-large $0.13 per 1M tokens | 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 | searched not found | Acquired by MongoDB for $220M in 2025-02; previously $28M total (Series A 2024 led by CRV). |
| Deployment | Managed-only — OpenAI API | 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 (/v1/embeddings), Python SDK, TypeScript SDK | REST API, Python SDK, TypeScript SDK |
At a glance
| OpenAI Embeddings | Voyage AI (MongoDB) | |
|---|---|---|
| Section | Embedding & reranker services | Embedding & reranker services |
| Tier | T1 | T1 |
| Type | OpenAI embedding API | Premium embedding + reranker API |
| Created | 2022-01 | 2023 |
| Latest release | v3.39.0 (2026-10-26) — openai (PyPI) | v0.5.0 (2026-07-10) — voyageai (PyPI) |
| License | proprietary; SDKs Apache-2.0 | proprietary; SDKs MIT (Python, TypeScript) |
| GitHub | openai/openai-python — ~32k stars, last commit 2026-10 (official Python SDK) | voyage-ai/voyageai-python — ~114 stars, last commit 2026-10 (official Python SDK) |
| Pricing | text-embedding-3-small $0.02 per 1M tokens; text-embedding-3-large $0.13 per 1M tokens | 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 | searched not found | 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 | Managed-only — OpenAI API | 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 (/v1/embeddings), 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
OpenAI Embeddings
Pros: searched not found
Cons: searched not found
Voyage AI (MongoDB)
Pros: searched not found
Cons: searched not found