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Factuality in the Arena

Factuality remains one of the most persistent questions users face when using AI models. Today, we are launching a leaderboard that ranks models not only by human preference, but also by the factual accuracy of their responses.

Build, Deploy, and Evaluate with Fullstack Code Arena

AI coding models are evolving faster than ever before. The question is no longer simply whether a model can write static code, but how well it can build real end-to-end applications. That’s why we’re evolving Code Arena to incorporate fullstack capabilities. When we first launched Code

$100M in eight months: thank you

Arena has crossed $100M annualized revenue run rate within eight months of launching our enterprise offering. We never could have imagined that our student project at UC Berkeley would become one of the fastest-growing companies of all time. Thank you to our community — all 10M+ of you — for contributing

Agent Arena: Causal Evaluation of Agents in the Real World

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.

Empowering Users to Get More Done With Agent Mode

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. While traditional chat requires

New Categories for Web Development in Code Arena

AI coding models are increasingly used to build web apps, but aggregated leaderboards obscure key performance differences. After analyzing 250k+ Code Arena prompts, we identified major front-end task categories and built new leaderboard views to compare model strengths and weaknesses.

Multimodal Max

Text Arena Score vs. Time to First Token Note: displayed models were the top public models when the router was created. Search Arena Score vs. Time to First Token Note: displayed models were the top public models when the router was created. Vision Arena Score vs. Time to First Token

Arena Leaderboard Dataset

For almost three years, Arena has been publishing leaderboards covering frontier AI capabilities across 10 arenas, dozens of categories, and hundreds of models, and today we're releasing the entire history of those leaderboards as a public-access dataset. We've watched how our leaderboards are cited, referenced,

March 2026: Arena Updates across Product, Leaderboard Rankings & Research

March 2026 brought major updates to the Arena 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. Whether you're a daily voter or just checking in

Inside BullshitBench: AI Models and Nonsense Detection

AI failures like hallucinations are well documented. A less examined problem is that models will accept nonsensical premises without question and produce confident, detailed answers to questions that have no valid answer. BullshitBench measures whether models challenge broken premises or play along. We tested over 80 models from all major

Supporting Independent Research in AI Evaluation

Arena’s Academic Partnerships Program provides funding and support for independent research advancing the scientific foundations of AI evaluation.

Image Arena Improvements: New Categories & Quality Filtering

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.

Introducing Max

Today we are releasing Max, Arena's model router powered by our community’s 5+ million real-world votes. Max acts as an intelligent orchestrator—it routes each user prompt to the most capable model for that specific prompt.

LMArena is now Arena

What began as a PhD research experiment to compare AI language models has grown over time into something broader, shaped by the people who use it.