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Model infoModelsSnapshot: 15 Oct 2026

Amazon / Titan Embeddings

Titan Multimodal Embeddings G1

Text and image embeddings in a shared vector space.

availableClosed weightsEmbeddings
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
8 of 18 specification fields collected
Input token limit256256 tokens
Vector dimensions1024 (default), 384, 256See specification notes below
Input billingNot collectedAmazon Bedrock
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
256 tokensSource for Context / input limit (opens in a new tab)

Text input limit, not embedding vector size.

Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
Not collected
Batch processing
Not collected
Knowledge cutoff
Not collected
Parameters
Not collected
Architecture
Not collected
Embedding dimensions
1024 (default), 384, 256Source for Embedding dimensions (opens in a new tab)
Image input limits
25 MB; up to 2048 × 2048 pixelsSource for Image input limits (opens in a new tab)
Context caching
Not collected

See endpoint caching records. No verified support claim for this model.

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
amazon.titan-embed-image-v1
Access
AWS account and model access required. Verify account quotas and regional eligibility.
Regions
In-region: us-east-1 (N. Virginia), us-west-2 (Oregon), ca-central-1 (Canada), eu-central-1 (Frankfurt), eu-west-1 (Ireland), eu-west-2 (London), eu-west-3 (Paris), ap-south-1 (Mumbai), ap-southeast-2 (Sydney), sa-east-1 (São Paulo)

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.

Read the service policy (opens in a new tab)

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.

Amazon Bedrock

amazon.titan-embed-image-v1
Not verified

Provider-side caching has not been verified for this endpoint. Missing documentation is not evidence that caching is unsupported.

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.

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

Amazon-developed managed release. The reviewed release documentation exposes service access, not downloadable model weights.

Classification evidence (opens in a new tab)

Lifecycle dates

Bedrock launch (model card)28 Nov 2023Source (opens in a new tab)

Sources reviewed