---
title: "coding-xiaomi-mimo-v2-omni Cost Calculator - Aihubmix"
description: "Calculate the cost of using coding-xiaomi-mimo-v2-omni from Aihubmix. Input costs $0.08 and output $0.40 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/coding-xiaomi-mimo-v2-omni"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/coding-xiaomi-mimo-v2-omni.md"
---

# coding-xiaomi-mimo-v2-omni Cost Calculator - Aihubmix

> Calculate the cost of using coding-xiaomi-mimo-v2-omni from Aihubmix. Input costs $0.08 and output $0.40 per 1M tokens.

## 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)
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- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About coding-xiaomi-mimo-v2-omni

coding-xiaomi-mimo-v2-omni is a chat model from Aihubmix, one of 72 chat models they offer. It is priced at $0.08 per 1M input tokens and $0.40 per 1M output tokens, ranking 337 out of 3639 chat models by cost and cheaper than 91% of models in this category. coding-xiaomi-mimo-v2-omni supports vision, function calling, reasoning, prompt caching, structured output.

## Pricing

Published Aihubmix pricing for coding-xiaomi-mimo-v2-omni.

- **$0.08 / 1M tokens Input.**
- **$0.40 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**

## Model Capabilities

coding-xiaomi-mimo-v2-omni supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema.

## How Pricing Compares

At $0.08 per 1M input tokens and $0.40 per 1M output tokens, coding-xiaomi-mimo-v2-omni ranks 337 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 91% of models in this category.

coding-xiaomi-mimo-v2-omni is one of 72 Aihubmix chat models, with support for vision, function calling, reasoning, prompt caching, structured output.

| Model | Provider | Input $/1M | Output $/1M | vs coding-xiaomi-mimo-v2-omni |
| --- | --- | --- | --- | --- |
| gemini-2.5-flash-lite | Vertex AI | $0.10 | $0.40 | +25% |
| gemini-2.5-flash-lite-preview-09-2025 | Vertex AI | $0.10 | $0.40 | +25% |
| gemini-2.5-flash-lite-preview-06-17 | Vertex AI | $0.10 | $0.40 | +25% |
| gemini-2.5-flash-lite | Google Gemini | $0.10 | $0.40 | +25% |
| gemini-2.5-flash-lite-preview-09-2025 | Google Gemini | $0.10 | $0.40 | +25% |

## More from Aihubmix

- [coding-xiaomi-mimo-v2.5 ($0.08/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/coding-xiaomi-mimo-v2.5.md)
- [doubao-seed-2-0-lite-260428 ($0.08/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/doubao-seed-2-0-lite-260428.md)
- [cc-glm-5.1 ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/cc-glm-5.1.md)
- [coding-glm-5.3 ($0.06/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/coding-glm-5.3.md)

## Related Resources

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

## FAQ

### Is coding-xiaomi-mimo-v2-omni cheaper than gemini-2.5-flash-lite?

Yes. coding-xiaomi-mimo-v2-omni costs $0.08 per 1M input tokens compared to gemini-2.5-flash-lite's $0.10 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

### How does coding-xiaomi-mimo-v2-omni pricing compare to the average chat model?

coding-xiaomi-mimo-v2-omni input pricing is $0.08 per 1M tokens, which is 86% below the median of $0.58 for chat models. It ranks 337 out of 3639 chat models by input cost, making it cheaper than 91% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.66.

### What makes coding-xiaomi-mimo-v2-omni different from other Aihubmix models?

Among Aihubmix's 72 chat models, coding-xiaomi-mimo-v2-omni ranks 5 by input cost.

### What are the best alternatives to coding-xiaomi-mimo-v2-omni?

The most comparable chat models to coding-xiaomi-mimo-v2-omni are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-06-17 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($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 coding-xiaomi-mimo-v2-omni costs?

coding-xiaomi-mimo-v2-omni 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 $0.08 and generating 1M output tokens costs $0.40.

## Related Resources

- [All Aihubmix pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix.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)

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*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/coding-xiaomi-mimo-v2-omni](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/aihubmix/model/coding-xiaomi-mimo-v2-omni) for AI/LLM consumption.*