#谷歌发布Gemini4Argon模型 The most impressive update is that the output limit has been raised to 1 million tokens, instead of only supporting input, so it can write an entire project’s code in one go. The pricing is aggressive too: $2 per million input tokens and $10 per million output tokens—much cheaper than OpenAI, making it clear they’re going after the enterprise market.

Looking at the bigger picture, the AI industry is shifting from competing over model intelligence to competing over cost-effective delivery. Google Cloud is using low prices and high output limits to attract developers at scale, while Alphabet’s core revenue base will increasingly depend on how quickly it can deliver for business customers.

As for the crypto market, this is a fundamental tailwind for AI agents and decentralized computing. AI agents need lots of low-cost tokens to support extended autonomous reasoning, and cheaper APIs will directly reduce the operating costs of on-chain AI projects. Just looking at the facts, technological advances are accelerating, and demand for computing infrastructure will only keep growing.

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