Calculate the cost of using titan-embed-image-v1 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 128 tokens
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titan-embed-image-v1 is an embedding model from OpenRouter, one of 28 embedding models they offer. It is priced at $0.80 per 1M input tokens and $0.0000 per 1M output tokens, ranking 155 out of 156 embedding models by cost and cheaper than 1% of models in this category. titan-embed-image-v1 supports vision. It accepts up to 0K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 128 input tokens. The maximum output length is 115 tokens.
At $0.80 per 1M input tokens and $0.0000 per 1M output tokens, titan-embed-image-v1 ranks 155 out of 156 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 1% of models in this category.
titan-embed-image-v1 is one of 28 OpenRouter embedding models, with support for vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs titan-embed-image-v1 |
|---|---|---|---|---|
| amazon.titan-embed-image-v1 | AWS Bedrock | $0.80 | $0.0000 | 0% |
| multimodalembedding | Vertex AI | $0.80 | $0.0000 | 0% |
| multimodalembedding@001 | Vertex AI | $0.80 | $0.0000 | 0% |
Similar embedding models from other providers
No. titan-embed-image-v1 costs $0.80 per 1M input tokens while amazon.titan-embed-image-v1 costs $0.80 per 1M input tokens, making amazon.titan-embed-image-v1 0% more affordable for input. However, titan-embed-image-v1 may offer different capabilities or performance characteristics that justify the price difference.
titan-embed-image-v1 input pricing is $0.80 per 1M tokens, which is 700% above the median of $0.10 for embedding models. It ranks 155 out of 156 embedding models by input cost, making it cheaper than 1% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.
Among OpenRouter's 28 embedding models, titan-embed-image-v1 ranks 28 by input cost.
The most comparable embedding models to titan-embed-image-v1 are: amazon.titan-embed-image-v1 from AWS Bedrock ($0.80/1M input tokens); multimodalembedding from Vertex AI ($0.80/1M input tokens); multimodalembedding@001 from Vertex AI ($0.80/1M input tokens); cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
titan-embed-image-v1 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.80 and generating 1M output tokens costs $0.0000.