LILT Launches AURORA Multilingual AI Leaderboard

Sep 30, 2026
LILT has launched AURORA, a leaderboard that evaluates frontier AI models on multilingual enterprise tasks involving coding, customer support, reasoning, and tool use.

LILT announced in a press release the launch of AURORA, a leaderboard that evaluates frontier AI models on multilingual enterprise tasks. The tests cover agent tasks, multimodal work, and cultural context in languages other than English.

AURORA includes four benchmark groups covering coding, customer support, instruction following, memory, reasoning, and tool use. Native language domain experts design and verify tasks based on applications in software, airlines, telecommunications, retail, and banking.

LILT's latest analysis found that model performance varied by language. GPT 5.5 ranked highest for coding tasks in Spanish, Claude Opus 5.5 led in Japanese, and Muse Spark 1.3 led in Serbian. The public leaderboard lets users compare models by language and task.

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