---
title: "gemini-embedding-001 Cost Calculator - OpenRouter"
description: "Calculate the cost of using gemini-embedding-001 from OpenRouter."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-001"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-001.md"
---

# gemini-embedding-001 Cost Calculator - OpenRouter

> Calculate the cost of using gemini-embedding-001 from OpenRouter.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/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 gemini-embedding-001

gemini-embedding-001 is an embedding model from OpenRouter, one of 24 embedding models they offer. It is priced at $0.15 per 1M input tokens, ranking 124 out of 145 embedding models by cost and cheaper than 14% of models in this category. gemini-embedding-001 supports structured output. Its 20K-token context window is in the top 32% among embedding models.

## Pricing

Published OpenRouter pricing for gemini-embedding-001.

- **$0.15 / 1M tokens Input.**

## Technical Specifications

- **Embedding Mode.**
- **20,000 Max Input Tokens.**
- **18,000 Max Output Tokens.**
- **18,000 Max Tokens.**

## Model Capabilities

gemini-embedding-001 supports: Response Schema.

## How Pricing Compares

At $0.15 per 1M input tokens, gemini-embedding-001 ranks 124 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 14% of models in this category.

gemini-embedding-001 is one of 24 OpenRouter embedding models, with support for structured output. its 20K-token context window places it in the top 32% of embedding models.

| Model | Provider | Input $/1M | Output $/1M | vs gemini-embedding-001 |
| --- | --- | --- | --- | --- |
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | -10% |
| text-embedding-3-large | Azure | $0.13 | $0.0000 | -13% |
| databricks-gte-large-en | Databricks | $0.13 | $0.0000 | -13% |
| gemini-embedding-001 | Vertex AI | $0.15 | $0.0000 | 0% |
| gemini-embedding-001 | Google Gemini | $0.15 | $0.0000 | 0% |

## More from OpenRouter

- [codestral-embed-2505 ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/codestral-embed-2505.md)
- [text-embedding-3-large ($0.13/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/text-embedding-3-large.md)
- [voyage-code-4 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-code-4.md)
- [voyage-multimodal-3.5 ($0.12/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/voyage-multimodal-3.5.md)

## Related Resources

- [OpenRouter status](https://www.getmaxim.ai/bifrost/provider-status/openrouter.md)
- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.md)

## FAQ

### Is gemini-embedding-001 cheaper than amazon.nova-2-multimodal-embeddings-v1:0?

No. gemini-embedding-001 costs $0.15 per 1M input tokens while amazon.nova-2-multimodal-embeddings-v1:0 costs $0.14 per 1M input tokens, making amazon.nova-2-multimodal-embeddings-v1:0 10% more affordable for input. However, gemini-embedding-001 may offer different capabilities or performance characteristics that justify the price difference.

### How does gemini-embedding-001 pricing compare to the average embedding model?

gemini-embedding-001 input pricing is $0.15 per 1M tokens, which is 50% above the median of $0.10 for embedding models. It ranks 124 out of 145 embedding models by input cost, making it cheaper than 14% of models in this category.

### What makes gemini-embedding-001 different from other OpenRouter models?

Among OpenRouter's 24 embedding models, gemini-embedding-001 ranks 21 by input cost.

### What are the best alternatives to gemini-embedding-001?

The most comparable embedding models to gemini-embedding-001 are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); text-embedding-3-large from Azure ($0.13/1M input tokens); databricks-gte-large-en from Databricks ($0.13/1M input tokens); gemini-embedding-001 from Vertex AI ($0.15/1M 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 OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter 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 gemini-embedding-001 costs?

gemini-embedding-001 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.

## Related Resources

- [All OpenRouter pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter.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)
- [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/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-001](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/openrouter/model/gemini-embedding-001) for AI/LLM consumption.*
