--- title: "voyage-4-large - Model Details & Comparison" description: "voyage-4-large from Voyage: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/voyage/voyage-4-large" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/voyage/voyage-4-large.md" --- # voyage-4-large - Model Details & Comparison > voyage-4-large from Voyage: capabilities, context limits, pricing, and side-by-side comparisons with alternative models. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About voyage-4-large voyage-4-large is an embedding model from Voyage, one of 22 embedding models they offer. It is priced at $0.12 per 1M input tokens and $0.0000 per 1M output tokens, ranking 139 out of 179 embedding models by cost and cheaper than 19% of models in this category. Its 32K-token context window is in the top 28% among embedding models. ## Specifications - **Voyage Provider.** - **Embedding Mode.** - **32,000 Max Input Tokens.** - **32,000 Max Tokens.** - **$0.12 / 1M tokens Input Price.** - **$0.0000 / 1M tokens Output Price.** ## voyage-4-large Pricing Overview At $0.12 per 1M input tokens and $0.0000 per 1M output tokens, voyage-4-large ranks 139 out of 179 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 19% of models in this category. voyage-4-large is one of 22 Voyage embedding models, its 32K-token context window places it in the top 28% of embedding models. ## Models to Compare Alternatives to voyage-4-large with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | | amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | | amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 | | ada | Azure | $0.10 | $0.0000 | | text-embedding-3-large | Azure | $0.13 | $0.0000 | - [Compare amazon.nova-2-multimodal-embeddings-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/amazon.nova-2-multimodal-embeddings-v1-0.md) - [Compare amazon.titan-embed-text-v1](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/amazon.titan-embed-text-v1.md) - [Compare amazon.titan-embed-g1-text-02](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/amazon.titan-embed-g1-text-02.md) - [Compare ada](https://www.getmaxim.ai/bifrost/model-library/compare/azure/ada.md) - [Compare text-embedding-3-large](https://www.getmaxim.ai/bifrost/model-library/compare/azure/text-embedding-3-large.md) ## Related Resources - [Calculate voyage-4-large costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/voyage/model/voyage-4-large.md) - [All Voyage pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/voyage.md) ## FAQ ### Is voyage-4-large cheaper than amazon.nova-2-multimodal-embeddings-v1:0? Yes. voyage-4-large costs $0.12 per 1M input tokens compared to amazon.nova-2-multimodal-embeddings-v1:0's $0.14 per 1M input tokens, making it 13% more affordable. Both are embedding models and share support for audio input. ### How does voyage-4-large pricing compare to the average embedding model? voyage-4-large input pricing is $0.12 per 1M tokens, which is 20% above the median of $0.10 for embedding models. It ranks 139 out of 179 embedding models by input cost, making it cheaper than 19% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.01. ### What makes voyage-4-large different from other Voyage models? Among Voyage's 22 embedding models, voyage-4-large ranks 16 by input cost. ### What are the best alternatives to voyage-4-large? The most comparable embedding models to voyage-4-large are: 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); ada from Azure ($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. ### How large is voyage-4-large's context window? voyage-4-large supports up to 32,000 input tokens, placing it in the top 28% of embedding models by context window size (rank 39 of 176). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate voyage-4-large costs? voyage-4-large 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 $0.12 and generating 1M output tokens costs $0.0000. ## Related Resources - [Voyage models](https://www.getmaxim.ai/bifrost/model-library/provider/voyage.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/voyage/voyage-4-large](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/voyage-4-large) for AI/LLM consumption.*