--- title: "global.cohere.embed-v4:0 Cost Calculator - AWS Bedrock" description: "Calculate the cost of using global.cohere.embed-v4:0 from AWS Bedrock. Input costs $0.12 and output $0.0000 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.cohere.embed-v4-0" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.cohere.embed-v4-0.md" --- # global.cohere.embed-v4:0 Cost Calculator - AWS Bedrock > Calculate the cost of using global.cohere.embed-v4:0 from AWS Bedrock. Input costs $0.12 and output $0.0000 per 1M tokens. ## 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 global.cohere.embed-v4:0 global.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 112 out of 161 embedding models by cost and cheaper than 21% of models in this category. global.cohere.embed-v4:0 supports vision. Its 128K-token context window is in the top 6% among embedding models. ## Pricing Published AWS Bedrock pricing for global.cohere.embed-v4:0. - **$0.12 / 1M tokens Input.** - **$0.0000 / 1M tokens Output.** ## Technical Specifications - **Embedding Mode.** - **128,000 Max Input Tokens.** - **128,000 Max Tokens.** ## Model Capabilities global.cohere.embed-v4:0 supports: Vision. ## How Pricing Compares At $0.12 per 1M input tokens and $0.0000 per 1M output tokens, global.cohere.embed-v4:0 ranks 112 out of 161 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 21% of models in this category. global.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 6% of embedding models. | Model | Provider | Input $/1M | Output $/1M | vs global.cohere.embed-v4:0 | | --- | --- | --- | --- | --- | | cohere.embed-multilingual-image-v3.0 | Oci | $0.10 | - | -17% | | voyage-multimodal-3.5 | OpenRouter | $0.12 | - | 0% | | gemini-embedding-2:batch | OpenRouter | $0.10 | - | -17% | | ada | Azure | $0.10 | $0.0000 | -17% | | text-embedding-3-large | Azure | $0.13 | $0.0000 | +8% | ## More from AWS Bedrock - [amazon.titan-embed-text-v1 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/amazon.titan-embed-text-v1.md) - [cohere.embed-v4:0 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/cohere.embed-v4-0.md) - [us.cohere.embed-v4:0 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/us.cohere.embed-v4-0.md) ## Related Resources - [All AWS Bedrock pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock.md) ## FAQ ### Is global.cohere.embed-v4:0 cheaper than cohere.embed-multilingual-image-v3.0? No. global.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, global.cohere.embed-v4:0 may offer different capabilities or performance characteristics that justify the price difference. ### How does global.cohere.embed-v4:0 pricing compare to the average embedding model? global.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 112 out of 161 embedding models by input cost, making it cheaper than 21% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02. ### What makes global.cohere.embed-v4:0 different from other AWS Bedrock models? Among AWS Bedrock's 15 embedding models, global.cohere.embed-v4:0 ranks 12 by input cost. ### What are the best alternatives to global.cohere.embed-v4:0? The most comparable embedding models to global.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 global.cohere.embed-v4:0's context window? global.cohere.embed-v4:0 supports up to 128,000 input tokens, placing it in the top 6% of embedding models by context window size (rank 6 of 138). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate global.cohere.embed-v4:0 costs? global.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 - [All AWS Bedrock pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock.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) - [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/llm-cost-calculator/provider/bedrock/model/global.cohere.embed-v4-0](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.cohere.embed-v4-0) for AI/LLM consumption.*