---
title: "Llama-Rank-V1 - Model Details & Comparison"
description: "Llama-Rank-V1 from Together AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/llama-rank-v1"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/llama-rank-v1.md"
---

# Llama-Rank-V1 - Model Details & Comparison

> Llama-Rank-V1 from Together 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)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About Llama-Rank-V1

Llama-Rank-V1 is a rerank model from Together AI. It is priced at $0.10 per 1M input tokens and $0.0000 per 1M output tokens, ranking 17 out of 18 rerank models by cost and cheaper than 6% of models in this category. It accepts up to 8K input tokens.

## Specifications

- **Together AI Provider.**
- **Rerank Mode.**
- **8,192 Max Input Tokens.**
- **8,192 Max Tokens.**
- **$0.10 / 1M tokens Input Price.**
- **$0.0000 / 1M tokens Output Price.**

## Llama-Rank-V1 Pricing Overview

At $0.10 per 1M input tokens and $0.0000 per 1M output tokens, Llama-Rank-V1 ranks 17 out of 18 rerank models by input cost. It is more expensive compared to the median of $0.02 for rerank models, and is cheaper than 6% of models in this category.

## Models to Compare

Alternatives to Llama-Rank-V1 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| jina-reranker-v2-base-multilingual | Jina AI | $0.05 | $0.0000 |
| rerank-2 | Voyage | $0.05 | $0.0000 |
| rerank-1 | Voyage | $0.05 | $0.0000 |
| rerank-2.5 | Voyage | $0.05 | $0.0000 |
| rerank-3 | Voyage | $0.05 | $0.0000 |

- [Compare jina-reranker-v2-base-multilingual](https://www.getmaxim.ai/bifrost/model-library/compare/jina_ai/jina-reranker-v2-base-multilingual.md)
- [Compare rerank-2](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/rerank-2.md)
- [Compare rerank-1](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/rerank-1.md)
- [Compare rerank-2.5](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/rerank-2.5.md)
- [Compare rerank-3](https://www.getmaxim.ai/bifrost/model-library/compare/voyage/rerank-3.md)

## Related Resources

- [Calculate Llama-Rank-V1 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/together_ai/model/llama-rank-v1.md)
- [Check Together AI status](https://www.getmaxim.ai/bifrost/provider-status/together-ai.md)
- [All Together AI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/together_ai.md)

## FAQ

### Is Llama-Rank-V1 cheaper than jina-reranker-v2-base-multilingual?

No. Llama-Rank-V1 costs $0.10 per 1M input tokens while jina-reranker-v2-base-multilingual costs $0.05 per 1M input tokens, making jina-reranker-v2-base-multilingual 50% more affordable for input. However, Llama-Rank-V1 may offer different capabilities or performance characteristics that justify the price difference.

### How does Llama-Rank-V1 pricing compare to the average rerank model?

Llama-Rank-V1 input pricing is $0.10 per 1M tokens, which is 400% above the median of $0.02 for rerank models. It ranks 17 out of 18 rerank models by input cost, making it cheaper than 6% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.03.

### What are the best alternatives to Llama-Rank-V1?

The most comparable rerank models to Llama-Rank-V1 are: jina-reranker-v2-base-multilingual from Jina AI ($0.05/1M input tokens); rerank-2 from Voyage ($0.05/1M input tokens); rerank-1 from Voyage ($0.05/1M input tokens); rerank-2.5 from Voyage ($0.05/1M 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 check if Together AI is down?

You can monitor Together AI service health in real time on the Bifrost Together AI 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 Llama-Rank-V1 costs?

Llama-Rank-V1 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 $0.10 and generating 1M output tokens costs $0.0000.

## Related Resources

- [Together AI models](https://www.getmaxim.ai/bifrost/model-library/provider/together_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)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/llama-rank-v1](https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/llama-rank-v1) for AI/LLM consumption.*