Buying guide category
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Buying advice
Keep semantic and lexical recall as the first pass, then add bounded neighbors, quality penalties, and provenance weights before returning context.
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Useful for teams running long coding-agent tasks. Start with Action Fusion and ObservationPack, benchmark locally, and treat remote log reduction as a separate security decision.
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Trace the full agent data path before choosing a model: training privacy, retention, tool logs, keys, review access, routing, and deletion all matter.
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In two weeks, three labs changed the meaning of their own rate card. DeepSeek moved to peak/off-peak billing that quietly tripled V4 Pro's output price, Google halved Gemini 3.7 Flash with a hike attached, and Anthropic cancelled one outright. Here is the real scorecard.
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A Microsoft Research / UC Berkeley / Stanford study finds that in 32% of comparisons, the model with the lower listed price actually costs more to run鈥攗p to 28x more鈥攂ecause of hidden reasoning tokens.
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