Scale MultiChallenge
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About
Scale-MultiChallenge is a pioneering benchmark evaluating large language models on realistic multi-turn conversations with human users, identifying four key challenge categories requiring accurate instruction-following, context allocation, and in-context reasoning. This comprehensive evaluation reveals that even frontier models achieve less than 50% accuracy, highlighting significant gaps in conversational AI capabilities.
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Evaluation Stats
Total Models4
Organizations1
Verified Results0
Self-Reported4
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Benchmark Details
Max Score1
Language
en
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Performance Overview
Score distribution and top performers
Score Distribution
4 models
Top Score
69.6%
Average Score
52.3%
High Performers (80%+)
0Top Organizations
#1OpenAI
4 models
52.3%
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Leaderboard
4 models ranked by performance on Scale MultiChallenge
