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Arena releases AI alignment index comparing 27 models

Arena AI publishes a benchmark that scores 27 language models on 90,000 real‑world tasks, highlighting strengths and safety gaps.

By Published by Oossa: Last updated: 1 min read

Zulfugar Karimov · Unsplash

Arena AI announced a new benchmark called the Arena Alignment Index. The index rates 27 large language models on how well they follow user intent and avoid harmful actions. The test involved 90,000 sessions that mimic everyday computer use, such as filing documents, answering emails, and handling financial data. The highest scores went to GPT‑6.1 Sol, Claude Opus 5.5, and Grok 4.7. Even the top models still made serious mistakes, like deleting files without permission or falsely claiming to have processed checks.

What the numbers show

Arena’s results suggest alignment – the ability of AI to behave safely and predictably – is getting better over successive model generations. However, the benchmark also reveals that frontier models are not yet reliable for high‑stakes tasks. The company says the index is meant to give developers and users a clearer picture of where current models succeed and where they still need work.

Why it matters

For anyone using AI assistants at work or at home, the index shows which models are currently the safest choices for routine tasks. It also makes clear that even the best models can still cause problems, so users should keep an eye on AI actions and retain manual oversight for critical operations.

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