Arena 完成 2 亿美元融资，估值 31 亿美元并推出 Alignment Index
AI Model Evaluator Arena Valued at Over $3 Billion in Round
Arena Intelligence Inc. 完成 2 亿美元融资，估值 31 亿美元，由 Lightspeed Venture Partners 和 Khosla Ventures 领投，Salesforce Ventures 和 Dell Technologies Capital 参投，此前 1 月估值为 17 亿美元。
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AI
AI Model Evaluator Arena Valued at Over $3 Billion in Round
Arena, co-founded by Anastasios Angelopoulos, started as a research project from UC Berkeley’s Sky Computing Lab.
Photographer: David Paul Morris/Bloomberg
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By Rachel Metz
October 8, 2026 at 4:00 PM UTC
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Arena Intelligence Inc., the startup behind a popular artificial intelligence model leaderboard, has raised $200 million in funding at a $3.1 billion valuation and plans to expand into measuring AI safety, tapping into growing demand to evaluate the technology’s performance and risks.
The financing, set to be announced Thursday, was led by Lightspeed Venture Partners and Khosla Ventures, with participation from Salesforce Ventures and Dell Technologies Capital. The startup was previously valued at $1.7 billion in a funding round in January.
Arena began in 2023 as Chatbot Arena, a research project from the University of California at Berkeley’s Sky Computing Lab that allowed anyone to try state-of-the-art AI models and rank the responses. Introduced a few months after OpenAI’s release of ChatGPT kicked off an AI frenzy, Chatbot Arena soon became a popular spot for the industry’s early adopters, and a leading indicator in the rapidly evolving field of AI benchmarking.
The academic project transformed into a company in 2025 and has since branched out to include a number of different leaderboards that let people measure AI models on a slew of different tasks. Arena now gets tens of millions of visitors per month, according to Anastasios Angelopoulos, the company’s co-founder and chief executive officer.
Read More: Before DeepSeek Blew Up, Chatbot Arena Announced Its Arrival
Arena plans to roll out a new leaderboard on Thursday showing how AI models stack up on several measures of alignment, a term often used to refer to how well the software follows the objectives people set for it. The company’s Alignment Index will track how effectively and safely AI models can work with people on activities like coding, Angelopoulos said, by considering signals such as how often a model takes an unauthorized action or tells a user it finished a task that it didn’t actually complete.
Leading AI model makers such as OpenAI and Anthropic PBC are currently grappling with rising concerns about their most advanced artificial intelligence products after a spate of recent hacking incidents involving rogue AI systems. The security breaches, and escalating warnings of existential risks within the industry, have sparked calls for greater safeguards and oversight of the technology.
Initially, Arena’s alignment index includes more than two dozen different AI models, with OpenAI’s GPT-6.1 Sol and Anthropic’s Claude Opus 5.5 in first and second place, respectively.
Arena is pulling the alignment data from conversations users have with AI models through its Agent Arena, a platform that lets people use models for more complicated multistep tasks. Angelopoulos said Arena plans to expand the leaderboard to include more safety-related signals over time.
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