Mistral AI Launches Free Public Deep Research Tool
Mistral AI Debuts Free Public Deep Research Module
July 15, 2025 - Mistral AI Search has announced the public beta launch of its enhanced "Deep Research" module, marking a significant milestone as China's first freely accessible deep research-level search service with multi-turn reasoning chain visualization capabilities.
Advanced Technology for Public Access
The upgraded system employs a segmented reinforcement learning strategy, breaking down traditionally resource-intensive research tasks into manageable sub-tasks. This innovation maintains accuracy while reducing operational costs to sustainable levels for free public access. The platform demonstrates particular strength in Chinese text retrieval and reasoning applications.
User-Friendly Research Interface
Users can activate the feature by simply switching to "Deep Research" mode on Mistral's homepage. The system processes complex queries by:
- Generating comprehensive reports through question chains
- Automatically retrieving and cross-validating information
- Presenting results in tables or paragraphs
- Providing real-time visibility into the reasoning process
Performance Benchmarks
Official comparisons reveal the new version outperforms publicly available models like Tongyi WebSailor in:
- Chinese open QA tasks
- Fact verification processes
- Long-chain reasoning challenges
Development Background
The Mistral team spent five months optimizing four key areas:
- Data cleaning protocols
- Index structure architecture
- Retrieval algorithm efficiency
- Reasoning scheduling systems
The initiative aims to democratize advanced research capabilities, particularly benefiting researchers, students, and small businesses lacking budgets for premium subscription services.
Key Points:
- First free public deep research tool in China with reasoning visualization
- Segmented reinforcement learning reduces costs while maintaining accuracy
- Superior performance in Chinese text processing versus competitors
- Five-month development focused on four optimization dimensions
- Designed to make professional research accessible to all users