Calculate the cost of using voyage-4 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 32,000 tokens
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voyage-4 is an embedding model from OpenRouter, one of 20 embedding models they offer. It is priced at $0.06 per 1M input tokens, ranking 40 out of 132 embedding models by cost and cheaper than 70% of models in this category. 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 $0.06 per 1M input tokens, voyage-4 ranks 40 out of 132 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 70% of models in this category.
voyage-4 is one of 20 OpenRouter embedding models, its 32K-token context window places it in the top 26% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs voyage-4 |
|---|---|---|---|---|
| gemini-1.5-flash | Google Gemini | $0.07 | $0.0000 | +25% |
| voyage-3 | Voyage | $0.06 | $0.0000 | 0% |
| voyage-3.5 | Voyage | $0.06 | $0.0000 | 0% |
Similar embedding models from other providers
Yes. voyage-4 costs $0.06 per 1M input tokens compared to gemini-1.5-flash's $0.07 per 1M input tokens, making it 25% more affordable. Both are embedding models.
voyage-4 input pricing is $0.06 per 1M tokens, which is 40% below the median of $0.10 for embedding models. It ranks 40 out of 132 embedding models by input cost, making it cheaper than 70% of models in this category.
Among OpenRouter's 20 embedding models, voyage-4 ranks 11 by input cost.
The most comparable embedding models to voyage-4 are: gemini-1.5-flash from Google Gemini ($0.07/1M input tokens); voyage-3 from Voyage ($0.06/1M input tokens); voyage-3.5 from Voyage ($0.06/1M input tokens); qwen3-embedding-0.6b from Novita ($0.07/1M 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-4 supports up to 32,000 input tokens, placing it in the top 26% of embedding models by context window size (rank 28 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-4 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.