Unverified50% confidenceOpinionExact time
Training cost figures from a single case are highly dependent on the specific task, data scale, and base model, and should not be simply extrapolated to all scenarios.
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Long-term
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10/4/2026
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UnverifiedOnly when a certain type of task is sufficiently high-frequency, stable, and cost-sensitive does migrating it from a general-purpose model to a specially trained model potentially realize significant cost benefits.79% similarUnverifiedSpecialized training for long-horizon tasks typically requires constructing supervised data containing complete task trajectories, rather than simple single-turn question-answer pairs.78% similarUnverifiedReasoning models are extremely costly to train, typically requiring a combination of large-scale reinforcement learning and carefully designed reward models to acquire the capability.75% similarUnverified训练2.8万亿参数模型代价高昂，便宜和开源并不等于不需要算力，算力需求从闭源巨头向分散的企业定制场景转移75% similarUnverifiedFor pure inference scenarios, model weights typically only need to be loaded once, and the constraint of data gravity is far less significant than in the training phase.75% similar
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