DeepSeek — what creators actually do with it

DeepSeek appears in 9 posts, and in most of them it is one interchangeable model among several rather than the subject. MoneyPrinterTurbo, a repo that turns one topic into a narrated, subtitled short video, lists it next to Claude, ChatGPT and Gemini as a supported script writer (MoneyPrinterTurbo). After Anthropic blocked subscription tokens in third-party tools, @tech.unicorn suggested multi-model routers using DeepSeek, Gemini, Llama and GPT-4o to keep agents running at lower cost (router fallback); routing ideas like this are collected in the earned-autonomy router guide.

The one post that is really about DeepSeek is news from @gigaqian: V4 Flash, a 284B mixture-of-experts model with about 13B active, was re-post-trained with no change in size or architecture and moved from 61.8 to 82.7 on Terminal Bench 2.1, at $0.28 per million output tokens (V4 Flash). Those figures are as reported in the video, and the post notes the update applies to the API model only, not the web app. The same creator shows NVIDIA's NIM console hosting models like DeepSeek and Kimi with free API keys and no credit card (free hosted models).

Elsewhere the tag is thin. One local setup points a "DeepSeek harness" at a llama.cpp server running a modified Qwen model (local harness), an attention explainer only names it (RoPE explainer), and a 2025 post pitches deepseek.com for finding grant listings without evidence (grant search). ChatGPT, Gemini and Llama each co-occur in 3 posts and Qwen in 2. The audience is builders who want a cheap API model to slot into a router or pipeline.