How much does Titan Text Embeddings V2 cost?

Titan Text Embeddings V2 costs $0.02/M tokens.

How much text can Titan Text Embeddings V2 process at once?

Titan Text Embeddings V2 accepts up to 8,192 tokens per input. Longer text has to be split into multiple inputs.

What inputs and outputs does Titan Text Embeddings V2 support?

Titan Text Embeddings V2 accepts text as input and returns embedding vectors.

Which providers serve Titan Text Embeddings V2?

Titan Text Embeddings V2 is served by 1 provider on OpenRouter: Amazon Bedrock.

What other embedding models does Amazon have?

Titan Multimodal Embeddings G1 and Titan Embeddings G1 - Text are other embedding models from Amazon.

When was Titan Text Embeddings V2 released?

Titan Text Embeddings V2 was released on October 26, 2026.

Amazon: Titan Text Embeddings V2

amazon/titan-embed-text-v2

Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 dimensions by default, with 512 and 256 also selectable via the dimensions parameter.

Modalities

Price

$0.02/M tokens

Context

Released

Oct 26, 2026

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency


	$0.02	0.22s	100.00%

Input $0.02
0.22s latency100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.01981/M tokens

Output

$0/M tokens

Titan Text Embeddings V2 — Price history

Price history

No effective price data for this selection

		$0.0198	$0.00	0.0%	100.0%

Effective in $0.0198Effective out $0.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.92%

Availability over the last 3 days

Last 72 hours

Availability 99.92%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.88%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Not currently available through EU in-region routing. In-region routing docs

More models from Amazon

Titan Multimodal Embeddings G1

Amazon Titan Multimodal Embeddings G1 embeds text, images, or text and image together into a shared vector space for multimodal search and recommendation. Images are sent as base64 (up to 25 MB), text input is limited to 128 tokens, and vectors are 1,024 dimensions by default with 384 and 256 selectable via the dimensions parameter.

Embeddings$0.06/K images

Titan Embeddings G1 - Text

Amazon Titan Embeddings G1 - Text is the first-generation Titan text embedding model. It accepts up to 8,192 tokens per input and returns fixed 1,536-dimension vectors; the dimensions parameter is not supported.

Embeddings$0.10/M tokens

Nova 2 Lite

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text.

Nova 2 Lite demonstrates standout capabilities in processing documents, extracting information from videos, generating code, providing accurate grounded answers, and automating multi-step agentic workflows.

Text1M context$0.30 / $2.50

Nova Premier 1.0

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Text1M context$2.50 / $12.50

Nova Lite 1.0

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy.

With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.

Text300K context$0.06 / $0.24

Nova Micro 1.0

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has simple mathematical reasoning and coding abilities.

Text128K context$0.035 / $0.14

Nova Pro 1.0

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX).

Amazon Nova Pro demonstrates strong capabilities in processing both visual and textual information and at analyzing financial documents.

NOTE: Video input is not supported at this time.

Text300K context$0.80 / $3.20

Amazon: Titan Text Embeddings V2

Providers