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Embeddings & vector searchStable
Voyage AI

Voyage Context 4

Voyage AI's document-aware embedding model that automatically creates vectors for chunks while preserving information from the surrounding document.

Open provider docsSee key factsPricing & comparisons

Plain-English overview

What Voyage Context 4 actually is

Voyage Context 4 accepts a document rather than forcing the application to send isolated chunks with no surrounding meaning. It segments and embeds the content with document context so a short passage can retain clues from its section and neighboring text.

When a document exceeds the model's internal context window, the service can split it transparently. That reduces ingestion plumbing, but teams should still inspect the resulting chunk boundaries and retrieval behavior on their own file types.

Good fit for

  • Long-document RAG
  • Knowledge bases where isolated chunks lose meaning
  • Teams that want managed contextual chunking

Category comparison

The facts that matter for embeddings models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Embedding price
$0.12 / 1M tokens after 200M freeCurrent provider price per million input tokens or the closest published billing unit.
Input capacity
32K per internal pass; longer documents split automaticallyMaximum content accepted in one embedding input, using the provider's documented token basis.
Vector dimensions
256, 512, 1,024, or 2,048Supported output sizes; smaller vectors reduce storage while larger vectors may preserve more information.
Accepted inputs
Whole text documentsText, code, image, audio, video, PDF, or document-aware input supported by the endpoint.
Retrieval controls
Automatic contextual chunking, overlap, and long-document splittingQuery/document modes, task types, truncation, chunking, or other controls that shape vectors for retrieval.
Where it runs
Voyage hosted API and MongoDB-integrated routesDirect API, cloud marketplace, private deployment, or self-hosted route documented by the provider.

Pricing & comparisons

Estimate your cost

Set your usage. Your estimate updates as you type.

Assumes 600 tokens per page, processed separately. Actual token counts vary. This covers embedding only, not storage, search, or generated answers.

Voyage Context 4

Voyage AI

Estimated total (USD)

$0.0007

For the usage above · USD · API pricing, not a subscription

Input tokens
$0.12 per 1M tokens
How this estimate works

Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.

API and provider access

Where to get Voyage Context 4

Voyage AIVoyage Context 4 announcementOfficial behavior, pricing, dimensions, and long-document handling.Voyage AIVoyage embedding documentationAPI parameters and current model catalog.

Availability

Regions and access stage

Available through Voyage's hosted API, including automatic handling for documents beyond one context window.

The public launch material does not enumerate processing regions; enterprise and MongoDB routes depend on the selected agreement.

Check live availability

Data and training

The route matters.

Voyage's public terms allow customer content to improve services unless the customer opts out. Eligible paid organizations can configure an opt-out and zero-day retention; separately negotiated enterprise terms may differ.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

Voyage Context 4 FAQ

What is Voyage Context 4?

Voyage AI's document-aware embedding model that automatically creates vectors for chunks while preserving information from the surrounding document. Voyage Context 4 accepts a document rather than forcing the application to send isolated chunks with no surrounding meaning. It segments and embeds the content with document context so a short passage can retain clues from its section and neighboring text.

When was Voyage Context 4 released?

Voyage Context 4 was released on June 29, 2026 according to the cited provider materials.

Where can I access Voyage Context 4?

Available through Voyage's hosted API, including automatic handling for documents beyond one context window. The access routes listed in this guide are Voyage AI.

How much does Voyage Context 4 cost?

$0.12 / 1M tokens after 200M free. Voyage lists the same hosted token rate as Voyage 4 Large after the starter allowance; batch pricing is lower where supported.

Where is Voyage Context 4 available?

Available through Voyage's hosted API, including automatic handling for documents beyond one context window. The public launch material does not enumerate processing regions; enterprise and MongoDB routes depend on the selected agreement.

Is my Voyage Context 4 API data used for training?

Voyage's public terms allow customer content to improve services unless the customer opts out. Eligible paid organizations can configure an opt-out and zero-day retention; separately negotiated enterprise terms may differ. The policy belongs to the provider route and account terms, so verify it again before production use.

Price comparison

USD per million tokens for the shown API routes at standard context length. Cache and long-context rates may differ. Models without matching reviewed prices are omitted; lower cost does not mean better quality.

Input token costsper 1M tokens · USD
  1. $0.10
    Mistral Embed

    Mistral AI

  2. $0.12
    Voyage 4 Large

    Voyage AI

  3. $0.12
    Voyage Context 4

    Voyage AI

    This model

  4. $0.12
    Voyage Code 4

    Voyage AI

  5. $0.13
    text-embedding-3-large

    OpenAI

  6. $0.20
    Gemini Embedding 2

    Google

Related comparisons

Head-to-head comparisons

View category →

  1. Voyage Context 4 vs Gemini Embedding 2

    Google's multimodal embedding model for placing text, images, video, audio, and PDFs in one searchable vector space.

    Open full comparison

  2. Voyage Context 4 vs text-embedding-3-large

    OpenAI's highest-capability text embedding model for semantic search, recommendations, clustering, and retrieval pipelines.

    Open full comparison

  3. Voyage Context 4 vs Cohere Embed 4

    Cohere's enterprise embedding model for multilingual text, images, and visually rich documents with a 128K context window.

    Open full comparison

  4. Voyage Context 4 vs Voyage 4 Large

    Voyage AI's quality-first general embedding model for text and code retrieval, with adjustable dimensions and a shared family vector space.

    Open full comparison

  5. Voyage Context 4 vs Voyage Code 4

    Voyage AI's specialist embedding model for finding relevant code from natural-language questions or other source-code context.

    Open full comparison

  6. Voyage Context 4 vs Mistral Embed

    Mistral's straightforward hosted text embedding model for semantic search, clustering, classification, and RAG.

    Open full comparison