---
title: "gemini-embedding-2 - Model Details & Comparison"
description: "gemini-embedding-2 from Google Vertex AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-embedding-2"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-embedding-2.md"
---

# gemini-embedding-2 - Model Details & Comparison

> gemini-embedding-2 from Google Vertex AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## 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://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise)
- [Pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/book-a-demo)

## About gemini-embedding-2

gemini-embedding-2 is an embedding model from Vertex AI, one of 10 embedding models they offer. It is priced at $0.20 per 1M input tokens and $0.0000 per 1M output tokens, ranking 131 out of 145 embedding models by cost and cheaper than 7% of models in this category. Its 8K-token context window is in the top 50% among embedding models.

## Specifications

- **Google Vertex AI Provider.**
- **Embedding Mode.**
- **8,192 Max Input Tokens.**
- **8,192 Max Tokens.**
- **$0.20 / 1M tokens Input Price.**
- **$0.0000 / 1M tokens Output Price.**

## gemini-embedding-2 Pricing Overview

At $0.20 per 1M input tokens and $0.0000 per 1M output tokens, gemini-embedding-2 ranks 131 out of 145 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 7% of models in this category.

gemini-embedding-2 is one of 10 Vertex AI embedding models, its 8K-token context window places it in the top 50% of embedding models.

## Models to Compare

Alternatives to gemini-embedding-2 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.titan-embed-text-v2:0 | AWS Bedrock | $0.20 | $0.0000 |
| gemini-embedding-2-preview | Google Gemini | $0.20 | $0.0000 |
| gemini-embedding-2 | Google Gemini | $0.20 | $0.0000 |
| voyage-3-large | Voyage | $0.18 | $0.0000 |
| voyage-code-3 | Voyage | $0.18 | $0.0000 |

- [Compare amazon.titan-embed-text-v2:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.titan-embed-text-v2-0.md)
- [Compare gemini-embedding-2-preview](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-embedding-2-preview.md)
- [Compare gemini-embedding-2](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-embedding-2.md)
- [Compare voyage-3-large](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/voyage/voyage-3-large.md)
- [Compare voyage-code-3](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/voyage/voyage-code-3.md)

## Related Resources

- [Calculate gemini-embedding-2 costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/vertex_ai/model/gemini-embedding-2.md)
- [All Vertex AI pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/vertex_ai.md)

## FAQ

### Is gemini-embedding-2 cheaper than amazon.titan-embed-text-v2:0?

No. gemini-embedding-2 costs $0.20 per 1M input tokens while amazon.titan-embed-text-v2:0 costs $0.20 per 1M input tokens, making amazon.titan-embed-text-v2:0 0% more affordable for input. However, gemini-embedding-2 may offer different capabilities or performance characteristics that justify the price difference.

### How does gemini-embedding-2 pricing compare to the average embedding model?

gemini-embedding-2 input pricing is $0.20 per 1M tokens, which is 100% above the median of $0.10 for embedding models. It ranks 131 out of 145 embedding models by input cost, making it cheaper than 7% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.0090.

### What makes gemini-embedding-2 different from other Vertex AI models?

Among Vertex AI's 10 embedding models, gemini-embedding-2 ranks 7 by input cost.

### What are the best alternatives to gemini-embedding-2?

The most comparable embedding models to gemini-embedding-2 are: amazon.titan-embed-text-v2:0 from AWS Bedrock ($0.20/1M input tokens); gemini-embedding-2-preview from Google Gemini ($0.20/1M input tokens); gemini-embedding-2 from Google Gemini ($0.20/1M input tokens); voyage-3-large from Voyage ($0.18/1M 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 gemini-embedding-2 costs?

gemini-embedding-2 is priced based on input and output tokens, images. 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 $0.20 and generating 1M output tokens costs $0.0000.

## Related Resources

- [Google Vertex AI models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/vertex_ai.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/pricing.md)
- [Enterprise: Bifrost enterprise](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/enterprise)
- [Book a Demo: Bifrost demo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/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/model-library/compare/vertex_ai/gemini-embedding-2](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vertex_ai/gemini-embedding-2) for AI/LLM consumption.*