---
title: "voyage-lite-02-instruct Cost Calculator - Voyage"
description: "Calculate the cost of using voyage-lite-02-instruct from Voyage. Input costs $0.10 and output $0.0000 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-lite-02-instruct"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-lite-02-instruct.md"
---

# voyage-lite-02-instruct Cost Calculator - Voyage

> Calculate the cost of using voyage-lite-02-instruct from Voyage. Input costs $0.10 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 voyage-lite-02-instruct

voyage-lite-02-instruct is an embedding model from Voyage, one of 21 embedding models they offer. It is priced at $0.10 per 1M input tokens and $0.0000 per 1M output tokens, ranking 90 out of 150 embedding models by cost and cheaper than 36% of models in this category. It accepts up to 4K input tokens.

## Pricing

Published Voyage pricing for voyage-lite-02-instruct.

- **$0.10 / 1M tokens Input.**
- **$0.0000 / 1M tokens Output.**

## Technical Specifications

- **Embedding Mode.**
- **4,000 Max Input Tokens.**
- **4,000 Max Tokens.**

## How Pricing Compares

At $0.10 per 1M input tokens and $0.0000 per 1M output tokens, voyage-lite-02-instruct ranks 90 out of 150 embedding models by input cost. It is competitively priced compared to the median of $0.10 for embedding models, and is cheaper than 36% of models in this category.

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

## More from Voyage

- [voyage-2 ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-2.md)
- [voyage-lite-01 ($0.10/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-lite-01.md)
- [voyage-code-2 ($0.12/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-code-2.md)
- [voyage-finance-2 ($0.12/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-finance-2.md)

## Related Resources

- [All Voyage pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage.md)

## FAQ

### Is voyage-lite-02-instruct cheaper than amazon.titan-embed-text-v1?

No. voyage-lite-02-instruct costs $0.10 per 1M input tokens while amazon.titan-embed-text-v1 costs $0.10 per 1M input tokens, making amazon.titan-embed-text-v1 0% more affordable for input. However, voyage-lite-02-instruct may offer different capabilities or performance characteristics that justify the price difference.

### How does voyage-lite-02-instruct pricing compare to the average embedding model?

voyage-lite-02-instruct input pricing is $0.10 per 1M tokens, which is 0% at the median of $0.10 for embedding models. It ranks 90 out of 150 embedding models by input cost, making it cheaper than 36% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.

### What makes voyage-lite-02-instruct different from other Voyage models?

Among Voyage's 21 embedding models, voyage-lite-02-instruct ranks 9 by input cost.

### What are the best alternatives to voyage-lite-02-instruct?

The most comparable embedding models to voyage-lite-02-instruct 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 do I calculate voyage-lite-02-instruct costs?

voyage-lite-02-instruct 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

- [All Voyage pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage.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/voyage/model/voyage-lite-02-instruct](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/voyage/model/voyage-lite-02-instruct) for AI/LLM consumption.*