@scaling01: DeepSeek just made their inference ~5x cheaper at 50 TPS

X AI KOLs Following News

Summary

DeepSeek has reduced inference costs by approximately 5x while maintaining 50 tokens per second throughput.

DeepSeek just made their inference ~5x cheaper at 50 TPS https://t.co/9lYUGsshdb
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Cached at: 06/29/26, 02:26 AM

DeepSeek just made their inference ~5x cheaper at 50 TPS https://t.co/9lYUGsshdb

Lisan al Gaib (@scaling01): how can you not like deepseek

thank you lord wenfeng for continuing to make intelligence too cheap to meter

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Is DeepSeek v4 (Flash) really extremely cheap to run? If yes, how?

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The user asks why DeepSeek v4 Flash (284B parameters) is so cheap to run compared to smaller models like Qwen 27B, questioning if it's due to pricing dumping or architectural differences. The answer likely involves its MoE architecture and efficient inference techniques.

@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...

X AI KOLs Following

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.