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Model infoModelsSnapshot: 15 Oct 2026

Cohere / Embed

Embed 5 Fast

Multimodal embeddings for enterprise retrieval, with a focus on latency and throughput and a shared vector space across the Embed 5 family.

availableClosed weightsEmbeddings
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
13 of 24 specification fields collected
Input token limit128K128,000 tokens
Vector dimensions256, 512, 768, 1024, 1536, 2048See specification notes below
Input billingSee ratesCohere API
Output billingSee ratesPublished units and conditions below

Specifications

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

Context / input limit
128,000 tokensSource for Context / input limit (opens in a new tab)

Provider describes 128k context per embedding input.

Maximum output
Not collected
Input modalities
Text, Image, Mixed text and imagesSource for Input modalities (opens in a new tab)
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Fine-tuning
Not collected
Context caching
Not collected
Knowledge cutoff
Not collected
Release date
2026-09-30Source for Release date (opens in a new tab)

Embed 5 family launch.

Parameters
Not collected
Architecture
Not collected
Embedding dimensions
256, 512, 768, 1024, 1536, 2048Source for Embedding dimensions (opens in a new tab)

Default 2048. Both Embed 5 tiers must use the same dimensions when sharing an index.

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 or mixed inputs per request; combined image payload at most 20 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.

Embedding compatibility
Pro and Fast share an embedding space at the same output dimension. Matryoshka truncation and int8 compression preserve cross-tier compatibility.Source for Embedding compatibility (opens in a new tab)

Embed 5 compatibility does not imply compatibility with Embed 3 or Embed 4.

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-v5.0-fast
Access
API key required. Trial keys are limited; production access and rate limits depend on the account.
Regions
Not collected

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 14 Oct 2026
CategoryUsageRateUnit
EmbeddingsText embeddings1$0.081M text tokens
EmbeddingsImage embeddings2$0.401M image tokens

Rate conditions

  1. Published launch rate for Cohere API text embeddings. No output-generation rate; image tokens are billed separately.
  2. Published launch rate for Cohere API image tokens. Do not apply the text-token rate to images.
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
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-V5-Fast
Access
Catalog identifier; endpoint provisioning and regional access must be checked independently.
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
Dedicated model instance. Hourly and monthly commitments are alternative pricing options.
Regions
Not collected

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 14 Oct 2026
CategoryUsageRateUnit
Dedicated inference · SmallHourly1$3.00instance-hour
Dedicated inference · SmallMonthly1$2,000.00instance-month
Dedicated inference · MediumHourly2$5.00instance-hour
Dedicated inference · MediumMonthly2$3,250.00instance-month

Rate conditions

  1. Small Model Vault performance tier. Per-instance commitment, not an additional per-token API fee. Region, taxes and contract terms require confirmation.
  2. Medium Model Vault performance tier. Per-instance commitment, not an additional per-token API fee. Region, taxes and contract terms require confirmation.
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.

Cohere private deployment

Provider source (opens in a new tab)
API model ID
Not collected

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

Access
Self-hosting is advertised for VPC/on-premises deployments; commercial access is not a public weight release.
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-v5.0-fast
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

Microsoft Foundry

Cohere-Embed-V5-Fast
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

Cohere Model Vault

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

Cohere private deployment

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

Classification inference from reviewed distribution: Cohere offers this original model through its API, commercial Model Vault and private deployments; the release does not publish a public weight download. The official model overview distinguishes downloadable families, and reviewed Cohere/CohereLabs embedding repositories do not list Embed 5 weights. This is not an explicit license statement or proof that weights can never be licensed privately.

Classification evidence (opens in a new tab)

Sources reviewed