How much does Titan Embeddings G1 - Text cost?

Titan Embeddings G1 - Text costs $0.10/M tokens.

How much text can Titan Embeddings G1 - Text process at once?

Titan Embeddings G1 - Text accepts up to 8,192 tokens per input. Longer text has to be split into multiple inputs.

What inputs and outputs does Titan Embeddings G1 - Text support?

Titan Embeddings G1 - Text accepts text as input and returns embedding vectors.

Which providers serve Titan Embeddings G1 - Text?

Titan Embeddings G1 - Text is served by 1 provider on OpenRouter: Amazon Bedrock.

What other embedding models does Amazon have?

Titan Multimodal Embeddings G1 and Titan Text Embeddings V2 are other embedding models from Amazon.

When was Titan Embeddings G1 - Text released?

Titan Embeddings G1 - Text was released on October 26, 2026.

Amazon: Titan Embeddings G1 - Text

amazon/titan-embed-text-v1

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.

Modalities

Price

$0.10/M tokens

Context

Released

Oct 26, 2026

Providers

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

Latency


	$0.10	0.17s	100.00%

Input $0.10
0.17s 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

$0.0998/M tokens

Output

$0/M tokens

Titan Embeddings G1 - Text — Price history

Price history

No effective price data for this selection

		$0.0998	$0.00	0.0%	100.0%

Effective in $0.0998Effective 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)

99.96%

Availability over the last 3 days

Last 72 hours

Availability 99.96%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

100.00%

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 Text Embeddings 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.

Embeddings$0.02/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.

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Nova Premier 1.0

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Nova Lite 1.0

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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

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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.

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Amazon: Titan Embeddings G1 - Text

Providers