--- title: "us.cohere.embed-v4:0 - Model Details & Comparison" description: "us.cohere.embed-v4:0 from AWS Bedrock: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.cohere.embed-v4-0" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.cohere.embed-v4-0.md" --- # us.cohere.embed-v4:0 - Model Details & Comparison > us.cohere.embed-v4:0 from AWS Bedrock: 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 us.cohere.embed-v4:0 us.cohere.embed-v4:0 is an embedding model from AWS Bedrock, one of 15 embedding models they offer. It is priced at $0.12 per 1M input tokens and $0.0000 per 1M output tokens, ranking 129 out of 179 embedding models by cost and cheaper than 19% of models in this category. us.cohere.embed-v4:0 supports vision. Its 128K-token context window is in the top 5% among embedding models. ## Specifications - **AWS Bedrock Provider.** - **Embedding Mode.** - **128,000 Max Input Tokens.** - **128,000 Max Tokens.** - **$0.12 / 1M tokens Input Price.** - **$0.0000 / 1M tokens Output Price.** ## Capabilities us.cohere.embed-v4:0 supports: Vision. ## us.cohere.embed-v4:0 Pricing Overview At $0.12 per 1M input tokens and $0.0000 per 1M output tokens, us.cohere.embed-v4:0 ranks 129 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. us.cohere.embed-v4:0 is one of 15 AWS Bedrock embedding models, with support for vision. its 128K-token context window places it in the top 5% of embedding models. ## Models to Compare Alternatives to us.cohere.embed-v4:0 with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | cohere.embed-multilingual-image-v3.0 | Oci | $0.10 | - | | voyage-multimodal-3.5 | OpenRouter | $0.12 | - | | gemini-embedding-2:batch | OpenRouter | $0.10 | - | | ada | Azure | $0.10 | $0.0000 | | text-embedding-3-large | Azure | $0.13 | $0.0000 | - [Compare cohere.embed-multilingual-image-v3.0](https://www.getmaxim.ai/bifrost/model-library/compare/oci/cohere.embed-multilingual-image-v3.0.md) - [Compare voyage-multimodal-3.5](https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/voyage-multimodal-3.5.md) - [Compare gemini-embedding-2:batch](https://www.getmaxim.ai/bifrost/model-library/compare/openrouter/gemini-embedding-2-batch.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 us.cohere.embed-v4:0 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/us.cohere.embed-v4-0.md) - [All AWS Bedrock pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock.md) ## FAQ ### Is us.cohere.embed-v4:0 cheaper than cohere.embed-multilingual-image-v3.0? No. us.cohere.embed-v4:0 costs $0.12 per 1M input tokens while cohere.embed-multilingual-image-v3.0 costs $0.10 per 1M input tokens, making cohere.embed-multilingual-image-v3.0 17% more affordable for input. However, us.cohere.embed-v4:0 may offer different capabilities or performance characteristics that justify the price difference. ### How does us.cohere.embed-v4:0 pricing compare to the average embedding model? us.cohere.embed-v4:0 input pricing is $0.12 per 1M tokens, which is 20% above the median of $0.10 for embedding models. It ranks 129 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 us.cohere.embed-v4:0 different from other AWS Bedrock models? Among AWS Bedrock's 15 embedding models, us.cohere.embed-v4:0 ranks 11 by input cost. ### What are the best alternatives to us.cohere.embed-v4:0? The most comparable embedding models to us.cohere.embed-v4:0 are: cohere.embed-multilingual-image-v3.0 from Oci ($0.10/1M input tokens); voyage-multimodal-3.5 from OpenRouter ($0.12/1M input tokens); gemini-embedding-2:batch from OpenRouter ($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 us.cohere.embed-v4:0's context window? us.cohere.embed-v4:0 supports up to 128,000 input tokens, placing it in the top 5% of embedding models by context window size (rank 6 of 176). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate us.cohere.embed-v4:0 costs? us.cohere.embed-v4:0 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 - [AWS Bedrock models](https://www.getmaxim.ai/bifrost/model-library/provider/bedrock.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/bedrock/us.cohere.embed-v4-0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/us.cohere.embed-v4-0) for AI/LLM consumption.*