Cohere Embed

Numerical representation models that convert text into embeddings for machine learning applications

Vendor
Cohere
Also known as
cohere-embed

Available worldwide · Popular in: US

What is Cohere Embed?

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

Cohere Embed pricing

Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.

Pricing as of verify at live pricing ↗Independently observed
from $0.10/operationUsage-basedFree tier

Free test tier; production on consumption basis

Test

Free
Free

Free test API key with rate limiting, not for production

  • Rate-limited API access

Production

Pay-as-you-go; billed at month-end or when $250 balance reached

Pay-as-you-go production access

  • Production API keys
  • Scalable usage

What Cohere Embed does

The capabilities that matter for embeddings apis, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Architecture model
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
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS
  • Hybrid
  • On-premise
  • Self-hosted

Security & compliance

Independently observed
  • SOC 2 Type II · Type IIactive

Cohere Embed FAQ

Common questions about Cohere Embed, answered from independent, dated evidence.

What is Cohere Embed?

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

Is Cohere Embed free?

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

What platforms does Cohere Embed support?

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

Can Cohere Embed be self-hosted?

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

What security certifications does Cohere Embed have?

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

Where is Cohere Embed available?

Cohere Embed is available worldwide. The vendor is headquartered in Canada.

Source: https://cohere.com/de/pricing

Cohere Embed alternatives

Other embeddings apis we track, ranked by the same independent score.

All Cohere Embed alternatives, ranked →

Compare Cohere Embed

Side by side against other embeddings apis, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Cohere Embed, not the verdict.

Balanced composite 65 / 100
medium · 60%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Security posture500.126.1✓
Pricing transparency1000.055.4✓
Price level800.043.3✓
Capabilities670.042.5✓
Reliability00.070.0-
Integrations00.040.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 64%

Features

AttributeValueEvidence
CapabilitiesSoc2 type ii: Yes · Pricing model: per_million_tokens_api · Architecture model: managed_cloud_api · Multi modal image and text joint embeddings: Yes · Multilingual support across 100 plus languages: Yes · Zero data retention training opt out enterprise: Yesmediumsource · 2026-10-02 · 60%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …highsource · 2026-10-02 · 75%

Pricing

AttributeValueEvidence
Modelfreemiummediumsource · 2026-10-02 · 60%
Free tierYesmediumsource · 2026-10-02 · 60%
Price levellowmediumsource · 2026-10-02 · 60%
TransparentYesmediumsource · 2026-10-02 · 60%
Starting priceAmount: 0.1 · Currency: USDmediumsource · 2026-09-06 · 60%

Security

AttributeValueEvidence
Disclosure policyYesmediumsource · 2026-10-02 · 60%
GdprYeshighsource · 2026-09-06 · 75%
Soc2Yeshighsource · 2026-10-02 · 75%
CertificationsSOC 2 Type IImediumsource · 2026-10-02 · 60%
Trust centerhttps://cohere.com/securitymediumsource · 2026-10-02 · 60%
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