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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Two Models Just Hit 90% on Agent Coding. One Cost Less Than a Penny.

    A recent benchmark test evaluated 148 models on agent coding tasks, with two models, Qwen3 Coder 30B A3B and the original DeepSeek Chat, achieving a 90% success rate. The Qwen3 Coder model completed the tasks in 28 seconds for $0.0004, while DeepSeek Chat took 59 seconds for $0.0018. Liquid's LFM 2 24B A2B stood out as the most cost-effective, scoring 85% for a mere $0.0002 across ten tasks. AI

    IMPACT Highlights significant cost-efficiency gains in coding agent models, potentially lowering barriers for complex AI task implementation.