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The leaderboard “you can’t game,” funded by the companies it ranks

Theresa Loconsolo
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3 min read
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⚡ Quantum Brief
Arena, a UC Berkeley-born startup, became the dominant public leaderboard for frontier AI models in seven months, now valued at $1.7 billion. It influences funding, launches, and PR for top AI firms. The platform claims "structural neutrality" despite backing from OpenAI, Google, and Anthropic, using dynamic benchmarks to prevent manipulation. Its methodology contrasts with static benchmarks, making it harder to game results. Claude currently leads expert rankings in legal and medical use cases, per Arena’s evaluations. The startup’s real-time, crowdsourced approach aims to reflect practical performance over theoretical metrics. Arena is expanding beyond chatbots to benchmark AI agents, coding, and real-world tasks. A new enterprise product targets commercial applications, broadening its influence in AI assessment. Co-founders Anastasios Angelopoulos and Wei-Lin Chiang emphasize transparency but face scrutiny over industry funding. The platform’s rapid rise underscores AI’s competitive benchmarking challenges.
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Latest AI Amazon Apps Biotech & Health Climate Cloud Computing Commerce Crypto Enterprise EVs Fintech Fundraising Gadgets Gaming Google Government & Policy Hardware Instagram Layoffs Media & Entertainment Meta Microsoft Privacy Robotics Security Social Space Startups TikTok Transportation Venture Staff Events Startup Battlefield StrictlyVC Newsletters Podcasts Videos Partner Content TechCrunch Brand Studio Crunchboard Contact Us Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that? Arena, formerly LM Arena, has emerged as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a UC Berkeley PhD research project to being valued at $1.7 billion. Watch as Equity host Rebecca Bellan catches up with Arena co-founders Anastasios Angelopoulos and Wei-Lin Chiang about how their platform became the go-to leaderboard for frontier AI models, and how they’re trying to build a neutral benchmark even as companies like OpenAI, Google, and Anthropic back the project. They break down how Arena works and why it’s harder to game than static benchmarks, what “structural neutrality” actually means, why Claude is currently topping expert leaderboards in legal and medical use cases, and how the company is expanding beyond chat to benchmark agents, coding, and real-world tasks with a new enterprise product.Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.

Topics Audio Producer Theresa Loconsolo is an audio producer at TechCrunch focusing on Equity, the network’s flagship podcast. Before joining TechCrunch in 2022, she was one of 2 producers at a four-station conglomerate where she wrote, recorded, voiced and edited content, and engineered live performances and interviews from guests like lovelytheband. Theresa is based in New Jersey and holds a bachelors degree in Communication from Monmouth University. You can contact or verify outreach from Theresa by emailing theresa.loconsolo@techcrunch.com. Actively scaling? Fundraising? Planning your next launch?TechCrunch Founder Summit 2026 delivers tactical playbooks and direct access to 1,000+ founders and investors who are building, backing, and closing.

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