--- title: "titan-embed-text-v1 Cost Calculator - OpenRouter" description: "Calculate the cost of using titan-embed-text-v1 from OpenRouter. Input costs $0.10 and output $0.0000 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/titan-embed-text-v1" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/titan-embed-text-v1.md" --- # titan-embed-text-v1 Cost Calculator - OpenRouter > Calculate the cost of using titan-embed-text-v1 from OpenRouter. Input costs $0.10 and output $0.0000 per 1M tokens. ## Important Links - [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md) - [Features](https://www.getmaxim.ai/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing.md) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About titan-embed-text-v1 titan-embed-text-v1 is an embedding model from OpenRouter, one of 28 embedding models they offer. It is priced at $0.10 per 1M input tokens and $0.0000 per 1M output tokens, ranking 87 out of 156 embedding models by cost and cheaper than 42% of models in this category. It accepts up to 8K input tokens. ## Pricing Published OpenRouter pricing for titan-embed-text-v1. - **$0.10 / 1M tokens Input.** - **$0.0000 / 1M tokens Output.** ## Technical Specifications - **Embedding Mode.** - **8,192 Max Input Tokens.** - **7,372 Max Output Tokens.** - **7,372 Max Tokens.** ## How Pricing Compares At $0.10 per 1M input tokens and $0.0000 per 1M output tokens, titan-embed-text-v1 ranks 87 out of 156 embedding models by input cost. It is competitively priced compared to the median of $0.10 for embedding models, and is cheaper than 42% of models in this category. | Model | Provider | Input $/1M | Output $/1M | vs titan-embed-text-v1 | | --- | --- | --- | --- | --- | | amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | 0% | | amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 | 0% | | ada | Azure | $0.10 | $0.0000 | 0% | | text-embedding-ada-002 | Azure | $0.10 | $0.0000 | 0% | | Cohere-embed-v3-english | Azure | $0.10 | $0.0000 | 0% | ## More from OpenRouter - [gemini-embedding-2:batch ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-2-batch.md) - [mistral-embed-2312 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/mistral-embed-2312.md) - [text-embedding-ada-002 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/text-embedding-ada-002.md) - [voyage-code-4 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-code-4.md) ## Related Resources - [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 titan-embed-text-v1 cheaper than amazon.titan-embed-text-v1? No. titan-embed-text-v1 costs $0.10 per 1M input tokens while amazon.titan-embed-text-v1 costs $0.10 per 1M input tokens, making amazon.titan-embed-text-v1 0% more affordable for input. However, titan-embed-text-v1 may offer different capabilities or performance characteristics that justify the price difference. ### How does titan-embed-text-v1 pricing compare to the average embedding model? titan-embed-text-v1 input pricing is $0.10 per 1M tokens, which is 0% at the median of $0.10 for embedding models. It ranks 87 out of 156 embedding models by input cost, making it cheaper than 42% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02. ### What makes titan-embed-text-v1 different from other OpenRouter models? Among OpenRouter's 28 embedding models, titan-embed-text-v1 ranks 16 by input cost. ### What are the best alternatives to titan-embed-text-v1? The most comparable embedding models to titan-embed-text-v1 are: 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); text-embedding-ada-002 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 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 titan-embed-text-v1 costs? titan-embed-text-v1 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 $0.10 and generating 1M output tokens costs $0.0000. ## Related Resources - [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md) - [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md) - [Model library](https://www.getmaxim.ai/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing.md) - [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/resources.md) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/titan-embed-text-v1](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/titan-embed-text-v1) for AI/LLM consumption.*