Amazon: Titan Multimodal Embeddings G1
amazon/titan-embed-image-v1
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.
Providers
This model is hosted by one provider. OpenRouter forwards every request without routing.
| $0.06 | 0.29s |
- Image $0.060.29s 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
Titan Multimodal Embeddings G1 — Price history
| $127.98 | $0.00 | 0.0% | 100.0% |
- Effective in $127.98 / Effective out $0.00Token share100.0%
Performance
Latency is how long it takes to return the full response (lower is better).
P50, best provider
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.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
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.
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
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.
Titan Multimodal Embeddings G1 costs $0.80/M tokens for Text Input and $0.06/K images for Image Input.
Titan Multimodal Embeddings G1 accepts up to 128 tokens per input. Longer text has to be split into multiple inputs.
Titan Multimodal Embeddings G1 accepts text and images as input and returns embedding vectors.
Titan Multimodal Embeddings G1 is served by 1 provider on OpenRouter: Amazon Bedrock.
Titan Embeddings G1 - Text and Titan Text Embeddings V2 are other embedding models from Amazon.
Titan Multimodal Embeddings G1 was released on October 26, 2026.
