Calculate the cost of using voyage-3.5 from Voyage for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 32,000 tokens
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voyage-3.5 is an embedding model from Voyage, one of 15 embedding models they offer. It is priced at $0.06 per 1M input tokens and $0.0000 per 1M output tokens, ranking 19 out of 94 embedding models by cost and cheaper than 80% of models in this category. Its 32K-token context window is in the top 23% 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 and $0.0000 per 1M output tokens, voyage-3.5 ranks 19 out of 94 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 80% of models in this category.
voyage-3.5 is one of 15 Voyage embedding models, its 32K-token context window places it in the top 23% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs voyage-3.5 |
|---|---|---|---|---|
| gemini-1.5-flash | Google Gemini | $0.07 | $0.0000 | +25% |
| qwen3-embedding-0.6b | Novita | $0.07 | $0.0000 | +17% |
| qwen3-embedding-8b | Novita | $0.07 | $0.0000 | +17% |
Similar embedding models from other providers
Yes. voyage-3.5 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-3.5 input pricing is $0.06 per 1M tokens, which is 40% below the median of $0.10 for embedding models. It ranks 19 out of 94 embedding models by input cost, making it cheaper than 80% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.01.
Among Voyage's 15 embedding models, voyage-3.5 ranks 4 by input cost.
The most comparable embedding models to voyage-3.5 are: gemini-1.5-flash from Google Gemini ($0.07/1M input tokens); qwen3-embedding-0.6b from Novita ($0.07/1M input tokens); qwen3-embedding-8b from Novita ($0.07/1M input tokens); amazon.titan-embed-text-v1 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-3.5 supports up to 32,000 input tokens, placing it in the top 23% of embedding models by context window size (rank 16 of 87). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
voyage-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. For reference, processing 1M input tokens costs $0.06 and generating 1M output tokens costs $0.0000.
