Calculate the cost of using voyage-multimodal-3.5 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 32,000 tokens
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voyage-multimodal-3.5 is an embedding model from OpenRouter, one of 20 embedding models they offer. It is priced at $0.12 per 1M input tokens, ranking 98 out of 132 embedding models by cost and cheaper than 25% of models in this category. voyage-multimodal-3.5 supports vision. Its 32K-token context window is in the top 26% among embedding models.
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 32,000 input tokens.
At $0.12 per 1M input tokens, voyage-multimodal-3.5 ranks 98 out of 132 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 25% of models in this category.
voyage-multimodal-3.5 is one of 20 OpenRouter embedding models, with support for vision. its 32K-token context window places it in the top 26% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs voyage-multimodal-3.5 |
|---|---|---|---|---|
| cohere.embed-multilingual-image-v3.0 | Oci | $0.10 | - | -17% |
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | +13% |
| amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | -17% |
Similar embedding models from other providers
No. voyage-multimodal-3.5 costs $0.12 per 1M input tokens while cohere.embed-multilingual-image-v3.0 costs $0.10 per 1M input tokens, making cohere.embed-multilingual-image-v3.0 17% more affordable for input. However, voyage-multimodal-3.5 may offer different capabilities or performance characteristics that justify the price difference.
voyage-multimodal-3.5 input pricing is $0.12 per 1M tokens, which is 20% above the median of $0.10 for embedding models. It ranks 98 out of 132 embedding models by input cost, making it cheaper than 25% of models in this category.
Among OpenRouter's 20 embedding models, voyage-multimodal-3.5 ranks 14 by input cost.
The most comparable embedding models to voyage-multimodal-3.5 are: cohere.embed-multilingual-image-v3.0 from Oci ($0.10/1M input tokens); amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); amazon.titan-embed-text-v1 from AWS Bedrock ($0.10/1M input tokens); amazon.titan-embed-g1-text-02 from AWS Bedrock ($0.10/1M 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.
voyage-multimodal-3.5 supports up to 32,000 input tokens, placing it in the top 26% of embedding models by context window size (rank 26 of 117). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
voyage-multimodal-3.5 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.