---
title: "bge-base-en-v1.5 - Model Details & Comparison"
description: "bge-base-en-v1.5 from Together AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/bge-base-en-v1.5"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/bge-base-en-v1.5.md"
---

# bge-base-en-v1.5 - Model Details & Comparison

> bge-base-en-v1.5 from Together AI: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## 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 bge-base-en-v1.5

bge-base-en-v1.5 is an embedding model from Together AI, one of 5 embedding models they offer. It is priced at $0.0080 per 1M input tokens and $0.0000 per 1M output tokens, ranking 16 out of 163 embedding models by cost and cheaper than 89% of models in this category. It accepts up to 1K input tokens.

## Specifications

- **Together AI Provider.**
- **Embedding Mode.**
- **512 Max Input Tokens.**
- **$0.0080 / 1M tokens Input Price.**
- **$0.0000 / 1M tokens Output Price.**

## bge-base-en-v1.5 Pricing Overview

At $0.0080 per 1M input tokens and $0.0000 per 1M output tokens, bge-base-en-v1.5 ranks 16 out of 163 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 89% of models in this category.

## Models to Compare

Alternatives to bge-base-en-v1.5 with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| nomic-embed-text-v1 | Fireworks Ai-embedding-models | $0.0080 | $0.0080 |
| nomic-embed-text-v1.5 | Fireworks Ai-embedding-models | $0.0080 | $0.0080 |
| gte-base | Fireworks Ai-embedding-models | $0.0080 | $0.0080 |
| bge-en-icl | Nebius | $0.01 | $0.0000 |
| bge-multilingual-gemma2 | Nebius | $0.01 | $0.0000 |

- [Compare nomic-embed-text-v1](https://www.getmaxim.ai/bifrost/model-library/compare/fireworks_ai-embedding-models/nomic-embed-text-v1.md)
- [Compare nomic-embed-text-v1.5](https://www.getmaxim.ai/bifrost/model-library/compare/fireworks_ai-embedding-models/nomic-embed-text-v1.5.md)
- [Compare gte-base](https://www.getmaxim.ai/bifrost/model-library/compare/fireworks_ai-embedding-models/gte-base.md)
- [Compare bge-en-icl](https://www.getmaxim.ai/bifrost/model-library/compare/nebius/bge-en-icl.md)
- [Compare bge-multilingual-gemma2](https://www.getmaxim.ai/bifrost/model-library/compare/nebius/bge-multilingual-gemma2.md)

## Related Resources

- [Calculate bge-base-en-v1.5 costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/together_ai/model/bge-base-en-v1.5.md)
- [Check Together AI status](https://www.getmaxim.ai/bifrost/provider-status/together-ai.md)
- [All Together AI pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/together_ai.md)

## FAQ

### Is bge-base-en-v1.5 cheaper than nomic-embed-text-v1?

No. bge-base-en-v1.5 costs $0.0080 per 1M input tokens while nomic-embed-text-v1 costs $0.0080 per 1M input tokens, making nomic-embed-text-v1 0% more affordable for input. However, bge-base-en-v1.5 may offer different capabilities or performance characteristics that justify the price difference.

### How does bge-base-en-v1.5 pricing compare to the average embedding model?

bge-base-en-v1.5 input pricing is $0.0080 per 1M tokens, which is 92% below the median of $0.10 for embedding models. It ranks 16 out of 163 embedding models by input cost, making it cheaper than 89% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.01.

### What makes bge-base-en-v1.5 different from other Together AI models?

Among Together AI's 5 embedding models, bge-base-en-v1.5 ranks 2 by input cost.

### What are the best alternatives to bge-base-en-v1.5?

The most comparable embedding models to bge-base-en-v1.5 are: nomic-embed-text-v1 from Fireworks Ai-embedding-models ($0.0080/1M input tokens); nomic-embed-text-v1.5 from Fireworks Ai-embedding-models ($0.0080/1M input tokens); gte-base from Fireworks Ai-embedding-models ($0.0080/1M input tokens); bge-en-icl from Nebius ($0.01/1M 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 Together AI is down?

You can monitor Together AI service health in real time on the Bifrost Together AI 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 bge-base-en-v1.5 costs?

bge-base-en-v1.5 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 $0.0080 and generating 1M output tokens costs $0.0000.

## Related Resources

- [Together AI models](https://www.getmaxim.ai/bifrost/model-library/provider/together_ai.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.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/model-library/compare/together_ai/bge-base-en-v1.5](https://www.getmaxim.ai/bifrost/model-library/compare/together_ai/bge-base-en-v1.5) for AI/LLM consumption.*