Comparison

Cohere Embed vs Voyage AI

On the evidence we track, Cohere Embed leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Cohere Embed65
Voyage AI42
Score
vioscaleAI score
Cohere Embed65 / 100medium · 60%
Voyage AI42 / 100low · 37%
Pricing
Free tier
Cohere Embed✓
Voyage AI–
Model
Cohere Embedfreemium
Voyage AIcommercial
Price level
Cohere Embedlow
Voyage AI–
Starting price
Cohere Embed$0.10
Voyage AI–
Transparent
Cohere Embed✓
Voyage AI–
Integrations
Count
Cohere Embed–
Voyage AI1
Security
Certifications
Cohere EmbedSOC 2 Type II
Voyage AI–
Disclosure policy
Cohere Embed✓
Voyage AI–
Gdpr
Cohere Embed✓
Voyage AI–
Soc2
Cohere Embed✓
Voyage AI✓
Trust center
Voyage AI–
Market
Availability
Voyage AI–
Content
Faq
Cohere Embed6 items
Voyage AI3 items

Capabilities

Feature-by-feature on the axes that matter for embeddings apis. “-” means undocumented, not absent.

Capabilities
Architecture model
Cohere EmbedManaged cloud API
Voyage AIManaged cloud API
Matryoshka representation learning for dimension truncation
Cohere Embed-
Voyage AI-
Multilingual support across 100 plus languages
Cohere Embed✓
Voyage AI✓
Binary and scalar quantization for memory reduction
Cohere Embed-
Voyage AI-
Cross encoder reranker API offered
Cohere Embed-
Voyage AI✓
Late interaction architecture colbert v2
Cohere Embed-
Voyage AI-
Massive context window greater than 8k tokens
Cohere Embed-
Voyage AI✓
Multi modal image and text joint embeddings
Cohere Embed✓
Voyage AI✓
Task specific prefixes query vs document instructions
Cohere Embed-
Voyage AI-
Zero data retention training opt out enterprise
Cohere Embed✓
Voyage AI-
SOC2 type ii
Cohere Embed✓
Voyage AI-
Mit or apache permissive oss license
Cohere Embed-
Voyage AI-
Pricing model
Cohere EmbedPer million tokens API
Voyage AI-

What each one is

The product in its own terms, so the numbers below have context.

Cohere Embed

Leader

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.

Independently observed

Voyage AI

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.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Cohere Embed

Leader
from $0.10/operationUsage-basedFree tier

Free test tier; production on consumption basis

  • TestFree
    • Rate-limited API access
  • ProductionPay-as-you-go; billed at month-end or when $250 balance reached
    • Production API keys
    • Scalable usage
as of verify ↗

Voyage AI

Pricing not documented yet.

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Cohere Embed✓
Voyage AI–
CLI
Cohere Embed✓
Voyage AI–
Deployment
Cloud / SaaS
Cohere Embed✓
Voyage AI✓
Self-hosted
Cohere Embed✓
Voyage AI✓
On-premise
Cohere Embed✓
Voyage AI✓
Hybrid
Cohere Embed✓
Voyage AI✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Cohere Embed

Leader

Not documented yet.

Voyage AI

3 total
  • vector databases
  • LLMs
  • MongoDB
Independently observed
Still deciding?

Cohere Embed or Voyage AI: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.