--- title: "voyage-4 - Model Details & Comparison" description: "voyage-4 from OpenRouter: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/voyage-4" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/voyage-4.md" --- # voyage-4 - Model Details & Comparison > voyage-4 from OpenRouter: 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/bifrost/enterprise) - [Pricing](https://www.getmaxim.ai/bifrost/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo) ## About voyage-4 voyage-4 is an embedding model from OpenRouter, one of 32 embedding models they offer. It is priced at $0.06 per 1M input tokens, ranking 64 out of 162 embedding models by cost and cheaper than 60% of models in this category. Its 32K-token context window is in the top 29% among embedding models. ## Specifications - **OpenRouter Provider.** - **Embedding Mode.** - **32,000 Max Input Tokens.** - **32,000 Max Tokens.** - **$0.06 / 1M tokens Input Price.** ## voyage-4 Pricing Overview At $0.06 per 1M input tokens, voyage-4 ranks 64 out of 162 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 60% of models in this category. voyage-4 is one of 32 OpenRouter embedding models, its 32K-token context window places it in the top 29% of embedding models. ## Models to Compare Alternatives to voyage-4 with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | gemini-1.5-flash | Google Gemini | $0.07 | $0.0000 | | voyage-3 | Voyage | $0.06 | $0.0000 | | voyage-3.5 | Voyage | $0.06 | $0.0000 | | qwen3-embedding-0.6b | Novita | $0.07 | $0.0000 | | qwen3-embedding-8b | Novita | $0.07 | $0.0000 | - [Compare gemini-1.5-flash](https://www.getmaxim.ai/bifrost/model-library/compare/gemini/gemini-1.5-flash.md) - [Compare voyage-3](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/voyage-3.md) - [Compare voyage-3.5](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/voyage-3.5.md) - [Compare qwen3-embedding-0.6b](https://www.getmaxim.ai/bifrost/model-library/compare/novita/qwen3-embedding-0.6b.md) - [Compare qwen3-embedding-8b](https://www.getmaxim.ai/bifrost/model-library/compare/novita/qwen3-embedding-8b.md) ## Related Resources - [Calculate voyage-4 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-4.md) - [Check OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md) - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) ## FAQ ### Is voyage-4 cheaper than gemini-1.5-flash? 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. ### How does voyage-4 pricing compare to the average embedding model? voyage-4 input pricing is $0.06 per 1M tokens, which is 40% below the median of $0.10 for embedding models. It ranks 64 out of 162 embedding models by input cost, making it cheaper than 60% of models in this category. ### What makes voyage-4 different from other OpenRouter models? Among OpenRouter's 32 embedding models, voyage-4 ranks 21 by input cost. ### What are the best alternatives to voyage-4? 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. ### How large is voyage-4's context window? voyage-4 supports up to 32,000 input tokens, placing it in the top 29% of embedding models by context window size (rank 42 of 160). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I check if OpenRouter is down? 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. ### How do I calculate voyage-4 costs? 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. ## Related Resources - [OpenRouter models](https://www.getmaxim.ai/bifrost/model-library/provider/openrouter.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/bifrost/pricing.md) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/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/openrouter/voyage-4](https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/voyage-4) for AI/LLM consumption.*