--- title: "gemini-embedding-2:batch - Model Details & Comparison" description: "gemini-embedding-2:batch from OpenRouter: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/gemini-embedding-2-batch" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/gemini-embedding-2-batch.md" --- # gemini-embedding-2:batch - Model Details & Comparison > gemini-embedding-2:batch 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/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 gemini-embedding-2:batch gemini-embedding-2:batch is an embedding model from OpenRouter, one of 34 embedding models they offer. It is priced at $0.10 per 1M input tokens, ranking 117 out of 179 embedding models by cost and cheaper than 34% of models in this category. gemini-embedding-2:batch supports vision, audio input — one of only 5 embedding models with this combination. It accepts up to 8K input tokens. ## Specifications - **OpenRouter Provider.** - **Embedding Mode.** - **8,192 Max Input Tokens.** - **7,372 Max Output Tokens.** - **7,372 Max Tokens.** - **$0.10 / 1M tokens Input Price.** ## Capabilities gemini-embedding-2:batch supports: Vision, Audio Input, PDF Input. ## gemini-embedding-2:batch Pricing Overview At $0.10 per 1M input tokens, gemini-embedding-2:batch ranks 117 out of 179 embedding models by input cost. It is competitively priced compared to the median of $0.10 for embedding models, and is cheaper than 34% of models in this category. gemini-embedding-2:batch is one of 34 OpenRouter embedding models, one of only 5 embedding models combining audio input, vision. ## Models to Compare Alternatives to gemini-embedding-2:batch with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | | us.cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | | global.cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | | cohere.embed-multilingual-image-v3.0 | Oci | $0.10 | - | | gemini-embedding-2 | Google Gemini | $0.20 | $0.0000 | - [Compare cohere.embed-v4:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/cohere.embed-v4-0.md) - [Compare us.cohere.embed-v4:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.cohere.embed-v4-0.md) - [Compare global.cohere.embed-v4:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/global.cohere.embed-v4-0.md) - [Compare cohere.embed-multilingual-image-v3.0](https://www.getmaxim.ai/bifrost/model-library/compare/oci/cohere.embed-multilingual-image-v3.0.md) - [Compare gemini-embedding-2](https://www.getmaxim.ai/bifrost/model-library/compare/gemini/gemini-embedding-2.md) ## Related Resources - [Calculate gemini-embedding-2:batch costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-2-batch.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 gemini-embedding-2:batch cheaper than cohere.embed-v4:0? Yes. gemini-embedding-2:batch costs $0.10 per 1M input tokens compared to cohere.embed-v4:0's $0.12 per 1M input tokens, making it 20% more affordable. Both are embedding models and share support for vision. ### How does gemini-embedding-2:batch pricing compare to the average embedding model? gemini-embedding-2:batch input pricing is $0.10 per 1M tokens, which is 0% at the median of $0.10 for embedding models. It ranks 117 out of 179 embedding models by input cost, making it cheaper than 34% of models in this category. ### What makes gemini-embedding-2:batch different from other OpenRouter models? Among OpenRouter's 34 embedding models, gemini-embedding-2:batch ranks 24 by input cost. It is the most affordable OpenRouter model with audio input support. Its combination of audio input, vision is shared by only 4 other embedding models. ### What are the best alternatives to gemini-embedding-2:batch? The most comparable embedding models to gemini-embedding-2:batch are: cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); us.cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); global.cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); cohere.embed-multilingual-image-v3.0 from Oci ($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. ### Is gemini-embedding-2:batch the cheapest embedding model with audio input? Yes. At $0.10 per 1M input tokens, gemini-embedding-2:batch is the most affordable embedding model that supports audio input. This makes it a strong option for audio input-dependent workloads where cost efficiency matters. ### 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 gemini-embedding-2:batch costs? gemini-embedding-2:batch 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/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/openrouter/gemini-embedding-2-batch](https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/gemini-embedding-2-batch) for AI/LLM consumption.*