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On April 7th, Kimi Open Platform officially announced price adjustments for its model inference services, significantly lowering context cache prices as well. This is based on a year's worth of technological advancements and performance optimizations by Moonshot AI. This move signifies Kimi Open Platform's commitment to enhancing user experience and promoting the widespread adoption of AI services while improving its technical capabilities. According to Kimi Open Platform, these price reductions are a result of Moonshot AI's progress in model training and inference optimization over the past year.

Anthropic has announced the launch of a new 'Prompt Caching' feature in its Claude series of large language models, aimed at significantly reducing AI costs for enterprises and enhancing performance. This feature allows users to store and reuse specific context information without incurring additional costs or delays. In public testing, the Claude 3.5 Sonnet and Claude 3 Haiku models will implement this feature, expected to achieve up to 90% cost reduction and double the response speed in certain scenarios. This feature is particularly suited for use cases that require...

The Kimi Open Platform under Dark Side of the Moon has announced a 50% reduction in context cache storage costs. Specifically, the cache storage cost has been reduced from 10 yuan/1M tokens/min to 5 yuan/1M tokens/min.

Yesterday, Kimi Open Platform under the Moon's Dark Side announced the public test of Context Caching technology. This technology can reduce the cost of using large text flagship models by up to 90% for developers, without changing the API price, and significantly improve the response speed of the model. Context Caching is an efficient data management technology that allows the system to pre-store large amounts of data or information that may be frequently requested. This way, when you request t