Mistral Medium 3.5
A dense 128B multimodal LLM by Mistral AI, offering advanced instruction-following, reasoning, and coding with a 256k context window.
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The model is built with 128 billion parameters, contributing to its robust performance across various complex tasks.
Supports an exceptionally large context window of 256,000 tokens, enabling the model to process and understand very long inputs and maintain coherence over extended conversations or documents.
The model accepts both text and image inputs, allowing it to analyze visual content and provide insights in addition to processing textual information, with text as the output format.
Users can toggle between a fast instant reply mode and a dedicated reasoning mode, boosting performance with test-time compute when requested for complex prompts and agentic usage.
Offers best-in-class agentic capabilities, including native function calling and the ability to produce JSON output, facilitating complex automated workflows.
The model supports dozens of languages, including major global languages like English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, and Arabic.
Demonstrates strong adherence and support for system prompts, ensuring that instructions and constraints provided at the system level are followed reliably.
Detailed Pricing Info
- Achieves strong performance across instruction following, reasoning, and coding tasks, unifying these capabilities in one model.
- Features an exceptionally large 256k context window, allowing for processing and understanding of very long inputs.
- Supports multimodal input, capable of analyzing images and providing insights based on visual content in addition to text.
- Offers configurable reasoning effort, allowing users to optimize between fast responses and deeper reasoning for complex tasks.
- Provides best-in-class agentic capabilities with native function calling and JSON output, enhancing automation and complex workflows.
- Supports dozens of languages, including major global languages, making it suitable for diverse multilingual applications.
- Local inference performance might be subpar, with optimal performance often achieved via the Mistral AI API.
- Requires updated Transformers configurations and GGUF files to avoid performance degradation, especially in long-context sessions.
- The Modified MIT License includes exceptions for companies with large revenue, which may restrict commercial use for certain organizations.
What is Mistral Medium 3.5?
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