---
title: "macaron-v1-tall - Model Details & Comparison"
description: "macaron-v1-tall from Novita: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/novita/macaron-v1-tall"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/novita/macaron-v1-tall.md"
---

# macaron-v1-tall - Model Details & Comparison

> macaron-v1-tall from Novita: 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 macaron-v1-tall

macaron-v1-tall is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.45 per 1M input tokens and $2.60 per 1M output tokens, ranking 1683 out of 3648 chat models by cost and cheaper than 54% of models in this category. macaron-v1-tall supports function calling, reasoning, prompt caching. Its 262K-token context window is in the top 39% among chat models.

## Specifications

- **Novita Provider.**
- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **32,768 Max Output Tokens.**
- **32,768 Max Tokens.**
- **$0.45 / 1M tokens Input Price.**
- **$2.60 / 1M tokens Output Price.**

## Capabilities

macaron-v1-tall supports: Function Calling, Reasoning, Prompt Caching, Tool Choice.

## macaron-v1-tall Pricing Overview

At $0.45 per 1M input tokens and $2.60 per 1M output tokens, macaron-v1-tall ranks 1683 out of 3648 chat models by input cost. It is more affordable compared to the median of $0.57 for chat models, and is cheaper than 54% of models in this category.

macaron-v1-tall is one of 130 Novita chat models, with support for function calling, reasoning, prompt caching. its 262K-token context window places it in the top 39% of chat models.

## Models to Compare

Alternatives to macaron-v1-tall with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| databricks-gemini-2-5-flash | Databricks | $0.37 | $3.13 |
| databricks-gemini-3-5-flash-lite | Databricks | $0.37 | $3.13 |
| deepseek-r1 | DeepSeek | $0.55 | $2.19 |
| DeepSeek-V3.2 | FriendliAI | $0.50 | $1.50 |
| gemini-3-flash-preview | Vertex AI | $0.50 | $3.00 |

- [Compare databricks-gemini-2-5-flash](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/databricks-gemini-2-5-flash.md)
- [Compare databricks-gemini-3-5-flash-lite](https://www.getmaxim.ai/bifrost/model-library/compare/databricks/databricks-gemini-3-5-flash-lite.md)
- [Compare deepseek-r1](https://www.getmaxim.ai/bifrost/model-library/compare/deepseek/deepseek-r1.md)
- [Compare DeepSeek-V3.2](https://www.getmaxim.ai/bifrost/model-library/compare/friendliai/deepseek-v3.2.md)
- [Compare gemini-3-flash-preview](https://www.getmaxim.ai/bifrost/model-library/compare/vertex_ai/gemini-3-flash-preview.md)

## Related Resources

- [Calculate macaron-v1-tall costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/novita/model/macaron-v1-tall.md)
- [All Novita pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/novita.md)

## FAQ

### Is macaron-v1-tall cheaper than databricks-gemini-2-5-flash?

No. macaron-v1-tall costs $0.45 per 1M input tokens while databricks-gemini-2-5-flash costs $0.37 per 1M input tokens, making databricks-gemini-2-5-flash 17% more affordable for input. However, macaron-v1-tall may offer different capabilities or performance characteristics that justify the price difference.

### How does macaron-v1-tall pricing compare to the average chat model?

macaron-v1-tall input pricing is $0.45 per 1M tokens, which is 21% below the median of $0.57 for chat models. It ranks 1683 out of 3648 chat models by input cost, making it cheaper than 54% of models in this category. For output, it costs $2.60 per 1M tokens compared to the median of $1.65.

### What makes macaron-v1-tall different from other Novita models?

Among Novita's 130 chat models, macaron-v1-tall ranks 85 by input cost.

### What are the best alternatives to macaron-v1-tall?

The most comparable chat models to macaron-v1-tall are: databricks-gemini-2-5-flash from Databricks ($0.37/1M input tokens); databricks-gemini-3-5-flash-lite from Databricks ($0.37/1M input tokens); deepseek-r1 from DeepSeek ($0.55/1M input tokens); DeepSeek-V3.2 from FriendliAI ($0.50/1M 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 macaron-v1-tall costs?

macaron-v1-tall 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 $0.45 and generating 1M output tokens costs $2.60.

## Related Resources

- [Novita models](https://www.getmaxim.ai/bifrost/model-library/provider/novita.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/novita/macaron-v1-tall](https://www.getmaxim.ai/bifrost/model-library/compare/novita/macaron-v1-tall) for AI/LLM consumption.*