--- title: "cohere.embed-v4:0 Cost Calculator - AWS Bedrock" description: "Calculate the cost of using cohere.embed-v4:0 from AWS Bedrock. Input costs $0.12 and output $0.0000 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/cohere.embed-v4-0" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/cohere.embed-v4-0.md" --- # cohere.embed-v4:0 Cost Calculator - AWS Bedrock > Calculate the cost of using cohere.embed-v4:0 from AWS Bedrock. Input costs $0.12 and output $0.0000 per 1M tokens. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/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 cohere.embed-v4:0 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 104 out of 150 embedding models by cost and cheaper than 21% of models in this category. Its 128K-token context window is in the top 5% among embedding models. ## Pricing Published AWS Bedrock pricing for 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.** ## How Pricing Compares At $0.12 per 1M input tokens and $0.0000 per 1M output tokens, cohere.embed-v4:0 ranks 104 out of 150 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. cohere.embed-v4:0 is one of 15 AWS Bedrock embedding models, its 128K-token context window places it in the top 5% of embedding models. | Model | Provider | Input $/1M | Output $/1M | vs cohere.embed-v4:0 | | --- | --- | --- | --- | --- | | ada | Azure | $0.10 | $0.0000 | -17% | | text-embedding-3-large | Azure | $0.13 | $0.0000 | +8% | | text-embedding-ada-002 | Azure | $0.10 | $0.0000 | -17% | | Cohere-embed-v3-english | Azure | $0.10 | $0.0000 | -17% | | Cohere-embed-v3-multilingual | Azure | $0.10 | $0.0000 | -17% | ## More from AWS Bedrock - [amazon.titan-embed-text-v1 ($0.12/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/amazon.titan-embed-text-v1.md) - [amazon.nova-2-multimodal-embeddings-v1:0 ($0.14/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/amazon.nova-2-multimodal-embeddings-v1-0.md) - [amazon.titan-embed-text-v1 ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/amazon.titan-embed-text-v1.md) ## Related Resources - [All AWS Bedrock pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock.md) ## FAQ ### Is cohere.embed-v4:0 cheaper than ada? No. cohere.embed-v4:0 costs $0.12 per 1M input tokens while ada costs $0.10 per 1M input tokens, making ada 17% more affordable for input. However, cohere.embed-v4:0 may offer different capabilities or performance characteristics that justify the price difference. ### How does cohere.embed-v4:0 pricing compare to the average embedding model? 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 104 out of 150 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 cohere.embed-v4:0 different from other AWS Bedrock models? Among AWS Bedrock's 15 embedding models, cohere.embed-v4:0 ranks 10 by input cost. ### What are the best alternatives to cohere.embed-v4:0? The most comparable embedding models to cohere.embed-v4:0 are: ada from Azure ($0.10/1M input tokens); text-embedding-3-large from Azure ($0.13/1M input tokens); text-embedding-ada-002 from Azure ($0.10/1M input tokens); Cohere-embed-v3-english 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 cohere.embed-v4:0's context window? 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 4 of 133). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories. ### How do I calculate cohere.embed-v4:0 costs? 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://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/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://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/cohere.embed-v4-0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/bedrock/model/cohere.embed-v4-0) for AI/LLM consumption.*