DeepSeek works best in Command Code. two ways to prove it: $1 Go plan with $10 → $40 for DeepSeek V4 pro read this harness engineering deep dive below: on how we fix and repair 50K+ tool calls, saving you cost and improve speed & quality of outputs.

DeenTheGreat KICKED OUT a girl from his van and dropped her off in the middle of the road after finding out she lied about her age 😳 Deshae Frost got in a HEATED argument with Deen over leaving her outside by herself while she was crying 👀

DeepSeek has officially transitioned its highly publicized, limited-time 75% promotional discount into a permanent, market-disrupting price reset. This strategic shift permanently locks in a remarkably low rate of just 88 cents ($0.88) per million output tokens for its flagship V4 Pro model, establishing this rate as the new standard pricing after the initial promotional period concludes on May 31, 2026. This aggressive pricing maneuver is set to redefine the economics of generative AI development, allowing enterprises and developers to scale high-performance applications at a fraction of the cost of traditional market alternatives. DeepSeek V4 Pro commercial pricing metrics, global AI API cost comparison analysis, breaking China AI industry news, DeepSeek vs ChatGPT market positioning, hardware acceleration utilizing Huawei Ascend chips, the evolution of global AI infrastructure in 2026, identifying the cheapest high-performance AI model API, and the industry impact of DeepSeek's permanent discount strategy.

DeepSeek-V4-Flash CRACK'd (ablated/uncensored) - Mac's Only (Osaurus/vMLX) 100gb, 20token/s. JANGTQ ~85gb will be out shortly. This model has taught me so much. Most importantly, to actually read research papers that frontierlabs release 😅 Keep in mind the MMLU is honestly just for comparison to base (using logit answering, instruct mode for sake of speed) I went out of my way to make sure it has no issues with code formatting/syntax/etcetc. Max reasoning mode works.