---
title: "gte-large - Model Details & Comparison"
description: "gte-large from Fireworks AI Embedding Models: 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/fireworks_ai-embedding-models/gte-large"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/fireworks_ai-embedding-models/gte-large.md"
---

# gte-large - Model Details & Comparison

> gte-large from Fireworks AI Embedding Models: 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 gte-large

gte-large is an embedding model from Fireworks Ai-embedding-models, one of 5 embedding models they offer. It is priced at $0.02 per 1M input tokens and $0.02 per 1M output tokens, ranking 34 out of 145 embedding models by cost and cheaper than 76% of models in this category. It accepts up to 1K input tokens.

## Specifications

- **Fireworks AI Embedding Models Provider.**
- **Embedding Mode.**
- **512 Max Input Tokens.**
- **512 Max Tokens.**
- **$0.02 / 1M tokens Input Price.**
- **$0.02 / 1M tokens Output Price.**

## gte-large Pricing Overview

At $0.02 per 1M input tokens and $0.02 per 1M output tokens, gte-large ranks 34 out of 145 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 76% of models in this category.

## Models to Compare

Alternatives to gte-large with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.titan-embed-text-v2:0 | AWS Bedrock | $0.02 | $0.0000 |
| text-embedding-3-small | Azure | $0.02 | $0.0000 |
| text-embedding-3-small | OpenAI | $0.02 | $0.0000 |
| together-ai-embedding-151m-to-350m | Together AI | $0.02 | $0.0000 |
| text-embedding-3-small | Vercel Ai Gateway | $0.02 | $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 text-embedding-3-small](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/azure/text-embedding-3-small.md)
- [Compare text-embedding-3-small](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/openai/text-embedding-3-small.md)
- [Compare together-ai-embedding-151m-to-350m](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/together_ai/together-ai-embedding-151m-to-350m.md)
- [Compare text-embedding-3-small](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/vercel_ai_gateway/text-embedding-3-small.md)

## Related Resources

- [Calculate gte-large costs](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/fireworks_ai-embedding-models/model/gte-large.md)
- [All Fireworks Ai-embedding-models pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/fireworks_ai-embedding-models.md)

## FAQ

### Is gte-large cheaper than amazon.titan-embed-text-v2:0?

Yes. gte-large costs $0.02 per 1M input tokens compared to amazon.titan-embed-text-v2:0's $0.02 per 1M input tokens, making it 25% more affordable. Both are embedding models.

### How does gte-large pricing compare to the average embedding model?

gte-large input pricing is $0.02 per 1M tokens, which is 84% below the median of $0.10 for embedding models. It ranks 34 out of 145 embedding models by input cost, making it cheaper than 76% of models in this category. For output, it costs $0.02 per 1M tokens compared to the median of $0.0090.

### What makes gte-large different from other Fireworks Ai-embedding-models models?

Among Fireworks Ai-embedding-models's 5 embedding models, gte-large ranks 5 by input cost.

### What are the best alternatives to gte-large?

The most comparable embedding models to gte-large are: amazon.titan-embed-text-v2:0 from AWS Bedrock ($0.02/1M input tokens); text-embedding-3-small from Azure ($0.02/1M input tokens); text-embedding-3-small from OpenAI ($0.02/1M input tokens); together-ai-embedding-151m-to-350m from Together AI ($0.02/1M 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 gte-large costs?

gte-large 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 $0.02 and generating 1M output tokens costs $0.02.

## Related Resources

- [Fireworks AI Embedding Models models](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/provider/fireworks_ai-embedding-models.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/fireworks_ai-embedding-models/gte-large](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/fireworks_ai-embedding-models/gte-large) for AI/LLM consumption.*