---
title: "semantic-ranker-fast-004 - Model Details & Comparison"
description: "semantic-ranker-fast-004 from Google Vertex AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/semantic-ranker-fast-004"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/semantic-ranker-fast-004.md"
---

# semantic-ranker-fast-004 - Model Details & Comparison

> semantic-ranker-fast-004 from Google Vertex AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## 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)
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- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About semantic-ranker-fast-004

semantic-ranker-fast-004 is a rerank model from Vertex AI, one of 5 rerank models they offer. It is priced at $0.0010 per 1M input tokens and $0.0000 per 1M output tokens, ranking 5 out of 20 rerank models by cost and cheaper than 75% of models in this category.

## Specifications

- **Google Vertex AI Provider.**
- **Rerank Mode.**
- **$0.0010 / 1M tokens Input Price.**
- **$0.0000 / 1M tokens Output Price.**

## semantic-ranker-fast-004 Pricing Overview

At $0.0010 per 1M input tokens and $0.0000 per 1M output tokens, semantic-ranker-fast-004 ranks 5 out of 20 rerank models by input cost. It is more affordable compared to the median of $0.02 for rerank models, and is cheaper than 75% of models in this category.

## Models to Compare

Alternatives to semantic-ranker-fast-004 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.rerank-v1:0 | AWS Bedrock | $0.0000 | $0.0000 |
| cohere-rerank-v3-english | Azure | $0.0000 | $0.0000 |
| cohere-rerank-v3-multilingual | Azure | $0.0000 | $0.0000 |
| cohere-rerank-v4.0-pro | Azure | $0.0000 | $0.0000 |
| cohere-rerank-v4.0-fast | Azure | $0.0000 | $0.0000 |

- [Compare cohere-rerank-v3-english](https://www.getmaxim.ai/bifrost/model-library/compare/azure/cohere-rerank-v3-english.md)
- [Compare cohere-rerank-v3-multilingual](https://www.getmaxim.ai/bifrost/model-library/compare/azure/cohere-rerank-v3-multilingual.md)
- [Compare cohere-rerank-v4.0-pro](https://www.getmaxim.ai/bifrost/model-library/compare/azure/cohere-rerank-v4.0-pro.md)
- [Compare cohere-rerank-v4.0-fast](https://www.getmaxim.ai/bifrost/model-library/compare/azure/cohere-rerank-v4.0-fast.md)

## Related Resources

- [All Vertex AI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/vertex_ai.md)

## FAQ

### Is semantic-ranker-fast-004 cheaper than amazon.rerank-v1:0?

No. semantic-ranker-fast-004 costs $0.0010 per 1M input tokens while amazon.rerank-v1:0 costs $0.0000 per 1M input tokens, making amazon.rerank-v1:0 100% more affordable for input. However, semantic-ranker-fast-004 may offer different capabilities or performance characteristics that justify the price difference.

### How does semantic-ranker-fast-004 pricing compare to the average rerank model?

semantic-ranker-fast-004 input pricing is $0.0010 per 1M tokens, which is 95% below the median of $0.02 for rerank models. It ranks 5 out of 20 rerank models by input cost, making it cheaper than 75% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.03.

### What makes semantic-ranker-fast-004 different from other Vertex AI models?

Among Vertex AI's 5 rerank models, semantic-ranker-fast-004 ranks 5 by input cost.

### What are the best alternatives to semantic-ranker-fast-004?

The most comparable rerank models to semantic-ranker-fast-004 are: amazon.rerank-v1:0 from AWS Bedrock ($0.0000/1M input tokens); cohere-rerank-v3-english from Azure ($0.0000/1M input tokens); cohere-rerank-v3-multilingual from Azure ($0.0000/1M input tokens); cohere-rerank-v4.0-pro from Azure ($0.0000/1M 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 do I calculate semantic-ranker-fast-004 costs?

semantic-ranker-fast-004 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 $0.0010 and generating 1M output tokens costs $0.0000.

## Related Resources

- [Google Vertex AI models](https://www.getmaxim.ai/bifrost/model-library/provider/vertex_ai.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.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)

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*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/semantic-ranker-fast-004](https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/semantic-ranker-fast-004) for AI/LLM consumption.*