Mistral Large, released by Mistral AI on February 26, 2024, is designed for versatile text processing tasks. With a substantial context window of 128,000 tokens, this model excels in handling complex reasoning, code generation, and JSON manipulation. It supports text-to-text modalities, making it adaptable for various applications. Mistral Large accommodates dozens of languages, including major ones like French, German, and Chinese, as well as over 80 coding languages such as Python and Java. Its input and output are both text-based, ensuring smooth integration into text-centric workflows. The model's ability to recall precise information from large documents is a significant advantage for users needing detailed analysis.
Use Cases
Here are a few ways teams apply Mistral Large in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance multilingual document analysis
Generate and refine code snippets
Develop chat-based applications
Automate JSON data processing
Improve large-scale text comprehension
Key Features
A quick look at the capabilities that make this model useful in real projects.
128,000 token context window
Supports dozens of languages
Handles 80+ coding languages
Text-to-text modality
Precise information recall
Versatile text processing
Specs
Overview
Vendor
mistralai
Model ID
mistralai/mistral-large
Release
2024-02-26
Modalities & context
Input
text
Output
text
Context
128,000 tokens
Parameters & defaults
Supported parameters: frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p
Defaults: temperature 0.3, top_p 0.95
Benchmark tests: Mistral Large
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
**How AI Could Positively Upend Work, Leisure, and Creativity**
Artificial Intelligence (AI) is poised to revolutionize work, leisure, and creativity by automating mundane tasks, unlocking new possibilities, and democratizing access to tools. In the workplace, AI can handle repetitive jobs—like data entry or scheduling—freeing humans to focus on strategy, innovation, and meaningful collaboration. It may also create new roles in AI ethics, training, and oversight, fostering a more dynamic job market.
For leisure, AI personalizes entertainment—curating music, generating interactive stories, or even designing virtual experiences tailored to individual tastes. Chatbots and AI companions could combat loneliness, while augmented reality (AR) and AI-driven games redefine play, making leisure more immersive and engaging.
Creativity will flourish as AI acts as a co-creator, helping artists, writers, and musicians brainstorm ideas, refine drafts, or experiment with new styles. Tools like DALL-E and MidJourney lower barriers to artistic expression, enabling novices to produce professional-quality work. By handling technical execution, AI lets humans focus on vision and emotion, pushing the boundaries of innovation. The result? A world where work is more fulfilling, leisure more enriching, and creativity more accessible than ever.
Run this prompt on Upend.AI