It is a 124-billion-parameter open-weights multimodal model called Pixtral Large, built on Mistral Large 2, designed to excel in both image and text understanding.
It is a 124-billion-parameter open-weights multimodal model called Pixtral Large, built on Mistral Large 2, designed to excel in both image and text understanding. Pixtral Large is the second model in Mistral AI’s multimodal family and demonstrates frontier-level capabilities in understanding documents, charts, and natural images while maintaining the leading text-only performance of Mistral Large 2. The model is available under the Mistral Research License (MRL) for research and educational use, and the Mistral Commercial License for experimentation, testing, and production in commercial applications.
Pixtral Large has been evaluated against leading models on standard multimodal benchmarks, achieving state-of-the-art results. On MathVista, which tests complex mathematical reasoning over visual data, it scores 69.4%, outperforming all other models. It also surpasses GPT-4o and Gemini-1.5 Pro on ChartQA and DocVQA, benchmarks that assess reasoning over complex charts and documents. Additionally, Pixtral Large outperforms Claude-3.5 Sonnet, Gemini-1.5 Pro, and GPT-4o on MM-MT-Bench, an open-source evaluation reflecting real-world multimodal use cases. On the LMSys Vision Leaderboard, Pixtral Large is the best open-weights model by a significant margin, outperforming the nearest competitor by nearly 50 ELO points and even surpassing proprietary models like GPT-4o (August ’24).
Alongside Pixtral Large, Mistral AI has updated its state-of-the-art text model, Mistral Large, to version 24.11. This update introduces improvements in long-context understanding, a new system prompt, and more accurate function calling, making it highly capable for RAG (Retrieval-Augmented Generation) and agentic workflows. Mistral Large 24.11 is suitable for enterprise use cases such as knowledge exploration, document understanding, task automation, and customer experience enhancement. It is available for self-deployment on HuggingFace under the MRL for research or with a commercial license for commercial use. The model will also be accessible through cloud providers like Google Cloud and Microsoft Azure within a week.
Pixtral Large and Mistral Large 24.11 represent Mistral AI’s commitment to advancing AI capabilities, offering cutting-edge tools for both research and commercial applications.
It is a recommender system simulator called Agent4Rec, designed to explore the potential of large language model (LLM)-empowered generative agents in simulating human-like behavior in recommendation environments.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is an advanced AI model designed to organize and make information more useful by leveraging multimodality, long context understanding, and agentic capabilities.
It is a platform designed to enable developers to build, deploy, and monetize AI Agents while providing a digital marketplace called the Agent Hub for users to access and utilize these agents.
It is an autonomous framework designed for data labeling and processing tasks, enabling the creation of intelligent agents that can independently learn and apply skills through iterative processes.
It is an experimental open-source project called Multi-GPT, designed to make GPT-4 fully autonomous by enabling multiple specialized AI agents, referred to as "expertGPTs," to collaborate on tasks.
It is a no-code platform called VisualAgents that enables users to design and deploy AI-driven workflows and agents for various industries, including healthcare, finance, manufacturing, and scientific computing.
It is a comprehensive platform and suite of tools designed to provide high-quality data and solutions for training, fine-tuning, and evaluating AI models, particularly for generative AI, government, and enterprise applications.
It is an implementation of "Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4," a project designed to develop an AI agent capable of playing imperfect information games using GPT-4 enhanced with Theory of Mind (ToM) awareness.
It is a Generative AI-powered voice bot designed to automate sales processes, enhance customer engagement, and drive revenue growth for businesses of all sizes.
It is an AI-powered platform designed to enhance engineering and DevOps workflows by automating repetitive tasks, enabling self-service operations, and improving overall efficiency.
It is an AI-powered app builder designed to create full-stack web applications and prototypes for various purposes, including SaaS platforms, AI agents, APIs, and internal tools.
It is a 124-billion-parameter open-weights multimodal model called Pixtral Large, built on Mistral Large 2, designed to excel in both image and text understanding.
It is an enterprise-grade AI platform designed to automate business operations by creating AI agent applications powered by cutting-edge Generative AI (GenAI) and Large Language Models (LLMs).
It is an all-in-one AI assistant platform designed to provide secure, customizable, and open-source solutions tailored to meet the unique needs of businesses.
It is an AI-powered tool called Decipher AI that uses advanced vision language models (LMs) to analyze thousands of hours of session replays, enabling businesses to identify customer issues in real time, understand feature usage, and answer product-related questions.
It is a platform that transforms your knowledge base into a reliable, production-ready AI assistant powered by large language models (LLMs) to instantly answer technical product questions and improve documentation.