---
title: "embed-v5.0-fast Cost Calculator - Cohere"
description: "Calculate the cost of using embed-v5.0-fast from Cohere. Input costs $0.08 and output $0.0000 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-v5.0-fast"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-v5.0-fast.md"
---

# embed-v5.0-fast Cost Calculator - Cohere

> Calculate the cost of using embed-v5.0-fast from Cohere. Input costs $0.08 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 embed-v5.0-fast

embed-v5.0-fast is an embedding model from Cohere, one of 7 embedding models they offer. It is priced at $0.08 per 1M input tokens and $0.0000 per 1M output tokens, ranking 51 out of 149 embedding models by cost and cheaper than 65% of models in this category. Its 128K-token context window is in the top 8% among embedding models.

## Pricing

Published Cohere pricing for embed-v5.0-fast.

- **$0.08 / 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 $0.08 per 1M input tokens and $0.0000 per 1M output tokens, embed-v5.0-fast ranks 51 out of 149 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 65% of models in this category.

embed-v5.0-fast is one of 7 Cohere embedding models, its 128K-token context window places it in the top 8% of embedding models.

| Model | Provider | Input $/1M | Output $/1M | vs embed-v5.0-fast |
| --- | --- | --- | --- | --- |
| amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | +25% |
| amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 | +25% |
| ada | Azure | $0.10 | $0.0000 | +25% |
| text-embedding-ada-002 | Azure | $0.10 | $0.0000 | +25% |
| Cohere-embed-v3-english | Azure | $0.10 | $0.0000 | +25% |

## More from Cohere

- [embed-english-light-v3.0 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-english-light-v3.0.md)
- [embed-english-v3.0 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-english-v3.0.md)
- [embed-multilingual-v3.0 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-multilingual-v3.0.md)
- [embed-v4.0 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-v4.0.md)

## Related Resources

- [Cohere status](https://www.getmaxim.ai/bifrost/provider-status/cohere.md)
- [embed-v5.0-fast specifications](https://www.getmaxim.ai/bifrost/model-library/compare/cohere/embed-v5.0-fast.md)
- [All Cohere pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere.md)

## FAQ

### Is embed-v5.0-fast cheaper than amazon.titan-embed-text-v1?

Yes. embed-v5.0-fast costs $0.08 per 1M input tokens compared to amazon.titan-embed-text-v1's $0.10 per 1M input tokens, making it 25% more affordable. Both are embedding models.

### How does embed-v5.0-fast pricing compare to the average embedding model?

embed-v5.0-fast input pricing is $0.08 per 1M tokens, which is 20% below the median of $0.10 for embedding models. It ranks 51 out of 149 embedding models by input cost, making it cheaper than 65% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.

### What makes embed-v5.0-fast different from other Cohere models?

Among Cohere's 7 embedding models, embed-v5.0-fast ranks 1 by input cost.

### What are the best alternatives to embed-v5.0-fast?

The most comparable embedding models to embed-v5.0-fast 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 large is embed-v5.0-fast's context window?

embed-v5.0-fast supports up to 128,000 input tokens, placing it in the top 8% of embedding models by context window size (rank 7 of 132). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

### How do I check if Cohere is down?

You can monitor Cohere service health in real time on the Bifrost Cohere 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 embed-v5.0-fast costs?

embed-v5.0-fast 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 $0.08 and generating 1M output tokens costs $0.0000.

## Related Resources

- [All Cohere pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere.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/cohere/model/embed-v5.0-fast](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/cohere/model/embed-v5.0-fast) for AI/LLM consumption.*