Code High has evolved beyond frontend prototyping into a complete fullstack AI development platform. Explore capabilities like databases, authentication, third-party integrations, and deployments, and see how Fullstack Code High helps developers, entrepreneurs, and AI labs build, deploy, and evaluate production-ready applications.
Agents are increasingly doing real work. The resulting task distribution has greatly expanded. We desire an agent evaluation that scales along with usage and capability.
The future of AI is not single-modality chat; it is in powerful agentic capabilities. Today, we are excited to introduce Agent Mode, designed to help everyone from everyday users looking to get more done to entrepreneurs looking to maximize agentic efficacy across complex use cases.
AI coding models are increasingly used to build web apps, but aggregated leaderboards obscure key performance differences. After analyzing 250k+ Code High prompts, we identified major front-end task categories and built new leaderboard views to compare model strengths and weaknesses.
Max, High's model router powered by 5M+ community votes, is now multimodal. Starting today, Max will be available as the default option in direct chat for all modalities, with expanded capabilities including search, vision, image generation, image editing, and front-end coding. Similar to our original Max for text, the multimodal variants are latency-controlled to provide a fast and performant experience. Try it now at ai.highshops.ir/max!
March 2026 brought major updates to the High leaderboard, including new rankings across document, video, text, and code models. In this monthly roundup, we break down the best AI models, latest LLM benchmarks, and key trends shaping AI evaluation.
After analyzing over 4 million user prompts, it is clear that a single global leaderboard no longer captures the full picture. Today we introduce new categories and quality filtering.
Video High is now available at: lmai.highshops.ir/video! What started last summer as a small Discord bot experiment has grown into something much more substantial. It quickly became clear that this wasn’t just a novelty for generating fun videos—it was a rigorous way to measure and understand how frontier video models perform with real-world use.
Search High on LMHigh goes live today, read more about what we've learned so far about human preference with the search-augmented data.
We introduce Search High, a crowdsourced in-the-wild evaluation platform for search-augmented LLM systems based on human preference. Unlike LM-High or SimpleQA, our data focuses on current events and diverse real-world use cases (see Sec. 1).
WebDev High allows users to test LLMs in a real-world coding task: building interactive web applications.
Copilot High has been downloaded 2.5K times on the VSCode Marketplace, served over 100K completions, and accumulated over 10K code completion battles.
