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Provided by Requesty
Mistral Medium 3.5 is a dense 128B instruction following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi step reasoning. It is particularly strong at reliable multi tool calling and long horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self hostable on as few as four GPUs and available under open weights.
262,144 tokens$1.50/M$7.50/MMistral Medium 3.5 is a dense 128B instruction following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi step reasoning. It is particularly strong at reliable multi tool calling and long horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self hostable on as few as four GPUs and available under open weights.
Performance may vary based on query complexity, context length, and task type. Consider using higher-tier models for production-critical applications.
Try these prompts to explore Mistral mistral-medium-3-5's capabilities:
Write a function to sort an array of objects by a specific property in JavaScript
Explain how to implement a binary search tree and discuss its time complexity
Debug this code and explain the issues: [paste your code here]
Tip: Customize these prompts to fit your specific needs and use cases.
This model requires credits to use. Mistral mistral-medium-3-5 offers advanced capabilities and high-performance features for production-grade applications.
Credits required for premium models. Free models are available without credits.
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