---
title: "baichuan-m2-32b Cost Calculator - Novita"
description: "Calculate the cost of using baichuan-m2-32b from Novita. Input costs $0.07 and output $0.07 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/baichuan-m2-32b"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/baichuan-m2-32b.md"
---

# baichuan-m2-32b Cost Calculator - Novita

> Calculate the cost of using baichuan-m2-32b from Novita. Input costs $0.07 and output $0.07 per 1M tokens.

## 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://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 baichuan-m2-32b

baichuan-m2-32b is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.07 per 1M output tokens, ranking 237 out of 3254 chat models by cost and cheaper than 92% of models in this category. It accepts up to 131K input tokens.

## Pricing

Published Novita pricing for baichuan-m2-32b.

- **$0.07 / 1M tokens Input.**
- **$0.07 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **131,072 Max Input Tokens.**
- **131,072 Max Output Tokens.**
- **131,072 Max Tokens.**

## Model Capabilities

baichuan-m2-32b supports: System Messages.

## How Pricing Compares

At $0.07 per 1M input tokens and $0.07 per 1M output tokens, baichuan-m2-32b ranks 237 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 92% of models in this category.

| Model | Provider | Input $/1M | Output $/1M | vs baichuan-m2-32b |
| --- | --- | --- | --- | --- |
| amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.24 | -14% |
| apac.amazon.nova-lite-v1:0 | AWS Bedrock | $0.06 | $0.25 | -10% |
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | +7% |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | +14% |
| Phi-4-mini-reasoning | Azure | $0.07 | $0.30 | +7% |

## More from Novita

- [qwen3-coder-30b-a3b-instruct ($0.07/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/qwen3-coder-30b-a3b-instruct.md)
- [ernie-4.5-21B-a3b-thinking ($0.07/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/ernie-4.5-21b-a3b-thinking.md)
- [ernie-4.5-21B-a3b ($0.07/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/ernie-4.5-21b-a3b.md)
- [qwen2.5-7b-instruct ($0.07/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/qwen2.5-7b-instruct.md)

## Related Resources

- [All Novita pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita.md)

## FAQ

### Is baichuan-m2-32b cheaper than amazon.nova-lite-v1:0?

No. baichuan-m2-32b costs $0.07 per 1M input tokens while amazon.nova-lite-v1:0 costs $0.06 per 1M input tokens, making amazon.nova-lite-v1:0 14% more affordable for input. However, baichuan-m2-32b may offer different capabilities or performance characteristics that justify the price difference.

### How does baichuan-m2-32b pricing compare to the average chat model?

baichuan-m2-32b input pricing is $0.07 per 1M tokens, which is 86% below the median of $0.52 for chat models. It ranks 237 out of 3254 chat models by input cost, making it cheaper than 92% of models in this category. For output, it costs $0.07 per 1M tokens compared to the median of $1.50.

### What makes baichuan-m2-32b different from other Novita models?

Among Novita's 130 chat models, baichuan-m2-32b ranks 23 by input cost.

### What are the best alternatives to baichuan-m2-32b?

The most comparable chat models to baichuan-m2-32b are: amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); apac.amazon.nova-lite-v1:0 from AWS Bedrock ($0.06/1M input tokens); Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M 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 baichuan-m2-32b costs?

baichuan-m2-32b 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 $0.07 and generating 1M output tokens costs $0.07.

## Related Resources

- [All Novita pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/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://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/llm-cost-calculator/provider/novita/model/baichuan-m2-32b](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/baichuan-m2-32b) for AI/LLM consumption.*
