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Writer says its new Palmyra X6 model cuts AI agent costs by 52% as token spending surges
Writer has launched its new flagship AI model, Palmyra X6, aimed at reducing costs and increasing efficiency for enterprise AI agents. This model is a post-trained version of GLM-5.2, an open-weight model from Z.ai. Writer emphasizes that Palmyra X6 is run entirely on U.S. infrastructure and is distinct from its original developers. The announcement comes at a time when the cost of AI agents, which use tokens for complex operations, is a major concern for businesses. Unlike chatbots, agents perform multi-step processes, leading to higher token consumption and thus increased expenses. Goldman Sachs predicts a significant rise in token consumption, highlighting the need for cost management. Writer's CTO stated that enterprises desire increased adoption but need cost stabilization. Cost, rather than model capability, is identified as the main hurdle for enterprise AI expansion. Writer believes that by lowering per-task costs, they are expanding the total addressable market for AI automation. Palmyra X6 is a large mixture-of-experts model, fine-tuned using a novel technique called anchored supervised fine-tuning on a small, high-quality synthetic dataset. This method allows for customized agentic behavior without compromising the base model's general capabilities. Writer claims Palmyra X6 outperforms leading models on internal benchmarks and is priced significantly lower. The company also highlights its rebuilt agent orchestration "harness," which independently reduces costs and speeds up tasks across various models. Writer's strategy involves offering its own optimized model while also enabling third-party models through its platform, providing flexibility to IT leaders. New governance tools are also introduced to provide administrators with better visibility and control over AI spending.