Voyage AI vs Cohere Embed 4
Both are alternatives to OpenAI Embeddings API. Here's how they stack up — verified facts, no spin.
Also searched as Cohere Embed 4 vs Voyage AI — same comparison, one verdict.
Voyage AI and Cohere Embed 4 are closely matched on ownership (38 vs 36) — this one comes down to pricing and to which trade-offs below you can live with.
Voyage AI
The benchmark leader — hosted accuracy worth paying for.
Voyage (now part of MongoDB) tops the retrieval benchmarks: voyage-3-large leads MTEB at $0.18/1M tokens, and voyage-4-lite price-matches OpenAI's small tier at $0.02 while sharing the flagship's embedding space. The honest hosted upgrade when retrieval quality directly drives your product.
Cohere Embed 4
The enterprise multilingual option with a 128k context.
Cohere's Embed 4 reads whole documents at once (128,000-token context), specializes in multilingual retrieval, and — unusually for hosted AI — deploys into AWS, Azure, or your own VPC for compliance-bound enterprises. $0.12 per million tokens.
Side by side
6 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| Voyage AI | Cohere Embed 4 | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 38 | 36 |
| Open source | No | No |
| Self-hostable | No | No |
| Local-first data | No | No |
| License | Proprietary hosted service | Proprietary hosted service |
| Pricing | voyage-4-lite $0.02/1M · voyage-3-large $0.18/1M tokens | $0.12/1M tokens; private-deployment options for enterprise |
Voyage AI edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
Weighing both against staying on OpenAI Embeddings API? Is OpenAI Embeddings API free? What it actually costs →
Voyage AI
Strengths
- +Best measured retrieval quality on MTEB
- +Strong on code and technical documents
- +Lite tier price-matches OpenAI's small
Trade-offs
- −Hosted only — your corpus leaves your infrastructure
- −MongoDB-owned roadmap
- −Flagship pricing is the category's highest
Cohere Embed 4
Strengths
- +128k-token context — embed entire documents
- +Multilingual strength
- +VPC/private deployment paths for compliance
Trade-offs
- −Six times the price of the small tiers
- −Hosted service with enterprise sales gravity
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Voyage AI
if a lower exit cost matters more to you than any single feature, and best measured retrieval quality on MTEB.
Choose Cohere Embed 4
if 128k-token context — embed entire documents.
Neither, yet
if both carry a real cost you should weigh first — hosted only — your corpus leaves your infrastructure, and six times the price of the small tiers. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
Voyage AI vs Cohere Embed 4 — common questions
Is Voyage AI a better fit than Cohere Embed 4 for embedding models?
It depends on what you are optimising for, and the honest split is this: Voyage AI scores 38 to Cohere Embed 4's 36 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Cohere Embed 4 earns its place on a different axis — 128k-token context — embed entire documents. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Neither of these is local-first by default, so plan the exit at the point you adopt rather than later. Export what matters on a schedule instead of trusting you can retrieve it on demand — that is the most common way a embedding models migration turns into a project instead of an afternoon.
Are Voyage AI and Cohere Embed 4 both alternatives to OpenAI Embeddings API?
Yes — both appear in our OpenAI Embeddings API comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off OpenAI Embeddings API and now choosing between the two replacements, which is a narrower and much easier question.
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Facts verified 2026-07-19. Licenses and pricing change — spotted something out of date? That's a correction we want.