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Model infoModelsSnapshot: 15 Oct 2026

Cohere / Embed

Embed English 3

English-language embeddings for retrieval, similarity and classification, with text and image support in the current API.

availableClosed weightsEmbeddings
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
13 of 23 specification fields collected
Input token limit512512 tokens
Vector dimensions1024See specification notes below
Input billingNot collectedCohere API
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
512 tokensSource for Context / input limit (opens in a new tab)

Per-input text-token limit; batching does not multiply the limit for an individual text.

Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
SupportedSource for Batch processing (opens in a new tab)

The current catalog explicitly lists Embed Jobs for this exact model. Asynchronous job limits and prices require a separate review.

Fine-tuning
Not collected
Context caching
Not collected
Knowledge cutoff
Not collected
Release date
2023-11-02Source for Release date (opens in a new tab)

Original text-embedding family launch; later image support is not backdated to this date.

Parameters
Not collected
Architecture
Not collected
Embedding dimensions
1024Source for Embedding dimensions (opens in a new tab)

Fixed vector dimension for this release.

Similarity metrics
Cosine, Dot product, Euclidean distanceSource for Similarity metrics (opens in a new tab)

Detailed Embed reference lists all three; the shorter catalog table lists cosine only for Embed 3.

Output formats
float, int8, uint8, binary, ubinary, base64Source for Output formats (opens in a new tab)

float is the default. Binary representations pack eight dimensions into each output integer; base64 encodes concatenated float bytes.

Input file formats
JPEG, PNG, WebP, GIFSource for Input file formats (opens in a new tab)

Image data URIs. Mixed text/image inputs are documented for Embed 4 and later; do not infer a direct PDF upload endpoint from PDF-page examples.

Request limits
Up to 96 texts per request; at most one image per request, up to 5 MB.Source for Request limits (opens in a new tab)

Request batching is distinct from asynchronous Embed Jobs. Token limits still apply per input.

Embedding controls
input_type: search_document, search_query, classification, clustering or image, truncate: END (default), START or NONE, max_tokens: per-input truncation control, priority: lower values receive higher prioritySource for Embedding controls (opens in a new tab)

These are embedding API controls, not text-generation sampling parameters.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

API model ID
embed-english-v3.0
Access
API key required. Trial keys are limited; production access and rate limits depend on the account.
Regions
Not collected

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

API model ID
Not collected

Deployment-specific identifier; do not substitute the Cohere API model selector.

Access
Commercial deployment; the model identifier is unique to the deployment.
Regions
Not collected

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

API model ID
cohere.embed-english-v3
Access
Provider catalog lists this selector. Hosting support and regional access are separate from Cohere API capabilities.
Regions
Not collected

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 14 Oct 2026
CategoryUsageRateUnit
EmbeddingsText input1$0.101M text tokens
EmbeddingsImage input2$0.0001image

Rate conditions

  1. US East (N. Virginia); AWS price-map publication 2026-10-12T08:40:08Z. Published Bedrock text embedding rate. Not a direct Cohere API rate; output vectors do not incur a generated-token charge.
  2. US East (N. Virginia); AWS price-map publication 2026-10-12T08:40:08Z. Published Bedrock image embedding rate. Do not convert to a per-image-token rate or apply it to the Light variants.
Pricing source (opens in a new tab)

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

API model ID
Not collected

Deployment-specific identifier; do not substitute the Cohere API model selector.

Access
Unique identifier per deployment; verify current deployment availability.
Regions
Not collected

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Oracle OCI Generative AI

Provider source (opens in a new tab)
API model ID
cohere.embed-english-v3.0
Access
OCI on-demand retired on 2026-09-30; creation of new dedicated base deployments retired on the same date. Existing dedicated/custom deployments may continue under Oracle’s retirement policy. This does not retire the direct Cohere API model.
Regions
Not collected
Endpoint retirement date
2026-09-30Source for Endpoint retirement date (opens in a new tab)

On-demand retirement. Dedicated table independently lists the same date; active dedicated deployment exceptions remain.

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Oracle OCI Generative AI

Provider source (opens in a new tab)
API model ID
cohere.embed-english-image-v3.0
Access
OCI dedicated base-model creation retired on 2026-09-30. Exact on-demand retirement for this image selector was not listed in the reviewed table; current availability must be checked. Existing dedicated/custom deployments have exceptions.
Regions
Not collected

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Cohere API

embed-english-v3.0
Not verified

No model-specific embedding cache contract verified. A shared API cached_tokens schema field is insufficient evidence of support.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

Amazon SageMaker

Not verified

No model-specific embedding cache contract verified. A shared API cached_tokens schema field is insufficient evidence of support.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

Amazon Bedrock

cohere.embed-english-v3
Not verified

No model-specific embedding cache contract verified. A shared API cached_tokens schema field is insufficient evidence of support.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

Microsoft Foundry

Not verified

No model-specific embedding cache contract verified. A shared API cached_tokens schema field is insufficient evidence of support.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

Oracle OCI Generative AI

cohere.embed-english-v3.0
Not verified

No model-specific embedding cache contract verified. A shared API cached_tokens schema field is insufficient evidence of support.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

Oracle OCI Generative AI

cohere.embed-english-image-v3.0
Not verified

No model-specific embedding cache contract verified. A shared API cached_tokens schema field is insufficient evidence of support.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

The provider’s exact-model repository publishes tokenizer/configuration files, not model weights. Its model card calls it a tokenizer repository and directs inference to the Cohere API, SageMaker or sales-arranged private deployment. Public tokenizer files do not make the model open-weight.

Classification evidence (opens in a new tab)

Sources reviewed