---
title: "mistral-nemo Cost Calculator - Novita"
description: "Calculate the cost of using mistral-nemo from Novita. Input costs $0.04 and output $0.17 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/mistral-nemo"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/mistral-nemo.md"
---

# mistral-nemo Cost Calculator - Novita

> Calculate the cost of using mistral-nemo from Novita. Input costs $0.04 and output $0.17 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 mistral-nemo

mistral-nemo is a chat model from Novita, one of 130 chat models they offer. It is priced at $0.04 per 1M input tokens and $0.17 per 1M output tokens, ranking 94 out of 3254 chat models by cost and cheaper than 97% of models in this category. mistral-nemo supports structured output. It accepts up to 60K input tokens.

## Pricing

Published Novita pricing for mistral-nemo.

- **$0.04 / 1M tokens Input.**
- **$0.17 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **60,288 Max Input Tokens.**
- **16,000 Max Output Tokens.**
- **16,000 Max Tokens.**

## Model Capabilities

mistral-nemo supports: System Messages, Response Schema, Tool Choice.

## How Pricing Compares

At $0.04 per 1M input tokens and $0.17 per 1M output tokens, mistral-nemo ranks 94 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 97% of models in this category.

mistral-nemo is one of 130 Novita chat models, with support for structured output.

| Model | Provider | Input $/1M | Output $/1M | vs mistral-nemo |
| --- | --- | --- | --- | --- |
| amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.14 | -12% |
| apac.amazon.nova-micro-v1:0 | AWS Bedrock | $0.04 | $0.15 | -8% |
| gpt-5-nano | Azure | $0.05 | $0.40 | +25% |
| gpt-5-nano-2025-08-07 | Azure | $0.05 | $0.40 | +25% |
| eu.amazon.nova-micro-v1:0 | AWS Bedrock | $0.05 | $0.18 | +15% |

## More from Novita

- [gpt-oss-20b ($0.04/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/gpt-oss-20b.md)
- [llama-3-8b-instruct ($0.04/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/llama-3-8b-instruct.md)
- [autoglm-phone-9b-multilingual ($0.04/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/autoglm-phone-9b-multilingual.md)
- [qwen3-8b-fp8 ($0.04/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/qwen3-8b-fp8.md)

## Related Resources

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

## FAQ

### Is mistral-nemo cheaper than amazon.nova-micro-v1:0?

No. mistral-nemo costs $0.04 per 1M input tokens while amazon.nova-micro-v1:0 costs $0.04 per 1M input tokens, making amazon.nova-micro-v1:0 12% more affordable for input. However, mistral-nemo may offer different capabilities or performance characteristics that justify the price difference.

### How does mistral-nemo pricing compare to the average chat model?

mistral-nemo input pricing is $0.04 per 1M tokens, which is 92% below the median of $0.52 for chat models. It ranks 94 out of 3254 chat models by input cost, making it cheaper than 97% of models in this category. For output, it costs $0.17 per 1M tokens compared to the median of $1.50.

### What makes mistral-nemo different from other Novita models?

Among Novita's 130 chat models, mistral-nemo ranks 11 by input cost.

### What are the best alternatives to mistral-nemo?

The most comparable chat models to mistral-nemo are: amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); apac.amazon.nova-micro-v1:0 from AWS Bedrock ($0.04/1M input tokens); gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M 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 mistral-nemo costs?

mistral-nemo 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 $0.04 and generating 1M output tokens costs $0.17.

## 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/mistral-nemo](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/novita/model/mistral-nemo) for AI/LLM consumption.*