Open models beat GPT-5.6 Sol on retrieval at 1/100th the cost

New open-source models reportedly outperform OpenAI's GPT-5.6 Sol on retrieval benchmarks while costing 100 times less. This suggests that specialized, efficient models can rival frontier proprietary systems in specific tasks. The result challenges the assumption that top performance requires the largest commercial models and could lower barriers for AI deployment.

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