@seclink: Chinese startup DeepSeek announced on Friday that its 75% discount on the DeepSeek-V4-Pro API will become permanent, with prices as low as $0.003625 per million cached input tokens and $0.87 per million output tokens—approximately 34 times cheaper than OpenAI's GPT-5.5. The model has 1.6 trillion...

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Summary

DeepSeek has made its V4-Pro API price cut of 75% permanent, with per-million cached input tokens at just $0.003625 and output tokens at $0.87, about 34 times cheaper than OpenAI's GPT-5.5. The model has 1.6 trillion parameters but requires only 49 billion active parameters, supports a 1-million-token context, and leads in coding and reasoning benchmark tests.

Chinese startup DeepSeek announced on Friday that its 75% discount on the DeepSeek-V4-Pro API will become permanent, with prices as low as $0.003625 per million cached input tokens and $0.87 per million output tokens—approximately 34 times cheaper than OpenAI's GPT-5.5. This model, with 1.6 trillion parameters, requires only 49 billion active parameters during use, supports a 1-million-token context, and leads in cost-effective benchmarks for coding, math, and reasoning. While developers welcome the convenience and low computational requirements for "universal AI accessibility," some have expressed concerns about reliability in real-world tests and potential hallucinations.
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Cached at: 05/24/26, 02:14 AM

Chinese startup DeepSeek announced on Friday that its 75% discount on the DeepSeek-V4-Pro API will become permanent, with prices as low as $0.003625 per million cached input tokens and $0.87 for output—roughly 34 times cheaper than OpenAI’s GPT-5.5.

The model, with 1.6 trillion parameters, activates only 49 billion parameters during use, supports a context of 1 million tokens, and leads in cost-efficiency benchmarks for coding, math, and reasoning.

While developers welcome the accessibility of “general AI for everyone” and the low computational demands, some have raised concerns about reliability in real-world tests and potential hallucinations.

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