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Models & ResearchAI AgentsAI DevelopmentInfrastructure & HardwareImage, Video & AudioRobotics & Autonomous SystemsBusiness & IndustryPolicy & RegulationSafety & SecurityBenchmarks & EvaluationOpen Source & CommunityAI in Society
Robotics & Autonomous SystemsBusiness & IndustryPolicy & RegulationSafety & SecurityBenchmarks & EvaluationOpen Source & CommunityAI in Society

7 NovBenchmarks & Evaluationpatronus.ai

Few Word Do Trick: Open Models Cut the Filler

Cracked salt flat in Death Valley, California, stretching to low mountains under a pale sky, in black and white. Photo by Carol M. Highsmith, Library of Congress.

AIAI-generated summary Patronus.ai measured the fraction of filler words in the reasoning of 12 open models on 20 agentic coding tasks across SWE-bench Verified, SWE-bench Pro and Terminal-Bench 2.1. Patronus.ai says newer releases write fewer filler words, with DeepSeek halving its filler share between April and October builds of its Flash model.

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