---
title: "mistral-small-4 Cost Calculator - Empiriolabs"
description: "Calculate the cost of using mistral-small-4 from Empiriolabs. Input costs $0.15 and output $0.60 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/mistral-small-4"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/mistral-small-4.md"
---

# mistral-small-4 Cost Calculator - Empiriolabs

> Calculate the cost of using mistral-small-4 from Empiriolabs. Input costs $0.15 and output $0.60 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About mistral-small-4

mistral-small-4 is a chat model from Empiriolabs, one of 92 chat models they offer. It is priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens, ranking 876 out of 4195 chat models by cost and cheaper than 78% of models in this category. mistral-small-4 supports vision, function calling, web search, structured output — one of only 2 chat models with this combination. Its 262K-token context window is in the top 49% among chat models.

## Pricing

Published Empiriolabs pricing for mistral-small-4.

- **$0.15 / 1M tokens Input.**
- **$0.60 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **262,144 Max Input Tokens.**
- **65,536 Max Output Tokens.**

## Model Capabilities

mistral-small-4 supports: Function Calling, Vision, Web Search, System Messages, Response Schema.

## How Pricing Compares

At $0.15 per 1M input tokens and $0.60 per 1M output tokens, mistral-small-4 ranks 876 out of 4195 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 78% of models in this category.

mistral-small-4 is one of 92 Empiriolabs chat models, one of only 2 chat models combining function calling, structured output, vision, web search. its 262K-token context window places it in the top 49% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs mistral-small-4 |
| --- | --- | --- | --- | --- |
| qwen3.8-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-omni-flash | Dashscope | $0.15 | $0.47 | 0% |
| qwen3.8-flash | Qwen Ai Platform | $0.15 | $0.47 | 0% |
| qwen3.8-omni-flash | Qwen Ai Platform | $0.15 | $0.47 | 0% |
| gpt-4o-mini-search-preview | OpenAI | $0.15 | $0.60 | 0% |

## More from Empiriolabs

- [minimax-m2-7 ($0.15/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/minimax-m2-7.md)
- [mimo-v2-6-flash ($0.14/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/mimo-v2-6-flash.md)
- [qwen3-8-flash ($0.16/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-8-flash.md)
- [qwen3-6-flash:variant1 ($0.17/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/qwen3-6-flash-variant1.md)

## Related Resources

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

## FAQ

### Is mistral-small-4 cheaper than qwen3.8-flash?

No. mistral-small-4 costs $0.15 per 1M input tokens while qwen3.8-flash costs $0.15 per 1M input tokens, making qwen3.8-flash 0% more affordable for input. However, mistral-small-4 may offer different capabilities or performance characteristics that justify the price difference.

### How does mistral-small-4 pricing compare to the average chat model?

mistral-small-4 input pricing is $0.15 per 1M tokens, which is 75% below the median of $0.60 for chat models. It ranks 876 out of 4195 chat models by input cost, making it cheaper than 78% of models in this category. For output, it costs $0.60 per 1M tokens compared to the median of $1.88.

### What makes mistral-small-4 different from other Empiriolabs models?

Among Empiriolabs's 92 chat models, mistral-small-4 ranks 25 by input cost. Its combination of function calling, structured output, vision, web search is shared by only 1 other chat model.

### What are the best alternatives to mistral-small-4?

The most comparable chat models to mistral-small-4 are: qwen3.8-flash from Dashscope ($0.15/1M input tokens); qwen3.8-omni-flash from Dashscope ($0.15/1M input tokens); qwen3.8-flash from Qwen Ai Platform ($0.15/1M input tokens); qwen3.8-omni-flash from Qwen Ai Platform ($0.15/1M 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-small-4 costs?

mistral-small-4 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 $0.15 and generating 1M output tokens costs $0.60.

## Related Resources

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

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/mistral-small-4](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/empiriolabs/model/mistral-small-4) for AI/LLM consumption.*