Best Large Language Models for SQL - Page 4

ERNIE X1.1 is Baidu’s upgraded reasoning model that delivers major improvements over its predecessor. It achieves 34.8% higher factual accuracy, 12.5% better instruction following, and 9.6% stronger agentic capabilities compared to ERNIE X1. In benchmark testing, it surpasses DeepSeek R1-0528 and performs on par with GPT-5 and Gemini 2.5 Pro. Built on the foundation of ERNIE 4.5, it has been enhanced with extensive mid-training and post-training, including reinforcement learning. The model is available through ERNIE Bot, the Wenxiaoyan app, and Baidu’s Qianfan MaaS platform via API. These upgrades are designed to reduce hallucinations, improve reliability, and strengthen real-world AI task performance.

Grok 4.20 is an advanced artificial intelligence model developed by xAI to elevate reasoning and natural language understanding. Built on the high-performance Colossus supercomputer, it is engineered for speed, scale, and accuracy. Grok 4.20 processes multimodal inputs such as text and images, with video support planned for future releases. The model excels in scientific, technical, and linguistic tasks, delivering highly precise and context-aware responses. Its architecture supports deep reasoning and sophisticated problem-solving capabilities. Enhanced moderation improves output reliability and reduces bias compared to earlier versions. Overall, Grok 4.20 represents a significant step toward more human-like AI reasoning and interpretation.

Claude Sonnet 5 is Anthropic’s latest frontier AI model built for advanced coding, agentic workflows, and intensive computer-based tasks. It is designed to handle long-horizon work while maintaining strong safety and alignment guarantees. Sonnet 5 delivers state-of-the-art results on the SWE-bench Verified benchmark, demonstrating high-level software engineering capabilities. The model also leads performance on OSWorld, showcasing its strength in computer use and complex task execution. It can sustain focus for over 30 hours on multi-step, demanding workflows. Improvements in tool usage, memory handling, and context processing enable deeper reasoning and understanding across domains. These enhancements make Sonnet 5 especially effective for complex, real-world problem solving.