---
title: "text-embedding-ada-002 - Model Details & Comparison"
description: "text-embedding-ada-002 from Github Copilot: 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/github_copilot/text-embedding-ada-002"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/github_copilot/text-embedding-ada-002.md"
---

# text-embedding-ada-002 - Model Details & Comparison

> text-embedding-ada-002 from Github Copilot: 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 text-embedding-ada-002

text-embedding-ada-002 is an embedding model from Github Copilot. It accepts up to 8K input tokens.

## Specifications

- **Github Copilot Provider.**
- **Embedding Mode.**
- **8,191 Max Input Tokens.**
- **8,191 Max Tokens.**

## Models to Compare

Alternatives to text-embedding-ada-002 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 |
| amazon.titan-embed-image-v1 | AWS Bedrock | $0.80 | $0.0000 |
| amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 |
| amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 |
| amazon.titan-embed-text-v2:0 | AWS Bedrock | $0.02 | $0.0000 |

- [Compare amazon.nova-2-multimodal-embeddings-v1:0](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.nova-2-multimodal-embeddings-v1-0.md)
- [Compare amazon.titan-embed-image-v1](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.titan-embed-image-v1.md)
- [Compare amazon.titan-embed-text-v1](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.titan-embed-text-v1.md)
- [Compare amazon.titan-embed-g1-text-02](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/bedrock/amazon.titan-embed-g1-text-02.md)
- [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)

## Related Resources

- [Calculate text-embedding-ada-002 costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/github_copilot/model/text-embedding-ada-002.md)
- [All Github Copilot pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/github_copilot.md)

## FAQ

### What are the best alternatives to text-embedding-ada-002?

The most comparable embedding models to text-embedding-ada-002 are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); amazon.titan-embed-image-v1 from AWS Bedrock ($0.80/1M input tokens); 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). 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 text-embedding-ada-002 costs?

text-embedding-ada-002 is priced based on usage. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected usage volume and the calculator will show the total cost breakdown.

## Related Resources

- [Github Copilot models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/github_copilot.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/github_copilot/text-embedding-ada-002](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/github_copilot/text-embedding-ada-002) for AI/LLM consumption.*