--- title: "mistral-medium Cost Calculator - Mistral" description: "Calculate the cost of using mistral-medium from Mistral. Input costs $0.40 and output $2.00 per 1M tokens." url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-medium" markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-medium.md" --- # mistral-medium Cost Calculator - Mistral > Calculate the cost of using mistral-medium from Mistral. Input costs $0.40 and output $2.00 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) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About mistral-medium mistral-medium is a chat model from Mistral, one of 45 chat models they offer. It is priced at $0.40 per 1M input tokens and $2.00 per 1M output tokens, ranking 1560 out of 3501 chat models by cost and cheaper than 55% of models in this category. mistral-medium supports vision, function calling, reasoning, structured output. Its 262K-token context window is in the top 42% among chat models. ## Pricing Published Mistral pricing for mistral-medium. - **$0.40 / 1M tokens Input.** - **$2.00 / 1M tokens Output.** ## Technical Specifications - **Chat Mode.** - **262,144 Max Input Tokens.** - **262,144 Max Output Tokens.** - **262,144 Max Tokens.** ## Model Capabilities mistral-medium supports: Function Calling, Vision, Reasoning, Response Schema, Tool Choice. ## How Pricing Compares At $0.40 per 1M input tokens and $2.00 per 1M output tokens, mistral-medium ranks 1560 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 55% of models in this category. mistral-medium is one of 45 Mistral chat models, with support for vision, function calling, reasoning, structured output. its 262K-token context window places it in the top 42% of chat models. | Model | Provider | Input $/1M | Output $/1M | vs mistral-medium | | --- | --- | --- | --- | --- | | apac.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | -17% | | eu.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | -17% | | us.amazon.nova-2-lite-v1:0 | AWS Bedrock | $0.33 | $2.75 | -17% | | databricks-gemini-3-5-flash-lite | Databricks | $0.37 | $3.13 | -6% | | qwen3p7-plus | Fireworks AI | $0.40 | $1.60 | 0% | ## More from Mistral - [mistral-medium-latest ($0.40/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-medium-latest.md) - [mistral-vibe-cli-latest ($0.40/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-vibe-cli-latest.md) - [mistral-vibe-cli-with-tools ($0.40/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-vibe-cli-with-tools.md) - [devstral-latest ($0.40/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/devstral-latest.md) ## Related Resources - [mistral-medium specifications](https://www.getmaxim.ai/bifrost/model-library/compare/mistral/mistral-medium.md) - [All Mistral pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral.md) ## FAQ ### Is mistral-medium cheaper than apac.amazon.nova-2-lite-v1:0? No. mistral-medium costs $0.40 per 1M input tokens while apac.amazon.nova-2-lite-v1:0 costs $0.33 per 1M input tokens, making apac.amazon.nova-2-lite-v1:0 17% more affordable for input. However, mistral-medium may offer different capabilities or performance characteristics that justify the price difference. ### How does mistral-medium pricing compare to the average chat model? mistral-medium input pricing is $0.40 per 1M tokens, which is 33% below the median of $0.60 for chat models. It ranks 1560 out of 3501 chat models by input cost, making it cheaper than 55% of models in this category. For output, it costs $2.00 per 1M tokens compared to the median of $1.71. ### What makes mistral-medium different from other Mistral models? Among Mistral's 45 chat models, mistral-medium ranks 26 by input cost. ### What are the best alternatives to mistral-medium? The most comparable chat models to mistral-medium are: apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); databricks-gemini-3-5-flash-lite from Databricks ($0.37/1M 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-medium costs? mistral-medium 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 $0.40 and generating 1M output tokens costs $2.00. ## Related Resources - [All Mistral pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral.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) --- *This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-medium](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/mistral/model/mistral-medium) for AI/LLM consumption.*