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DeepSeek V4 Flash model's low running cost sparks user debate

Users on Reddit are discussing the surprisingly low cost of running the DeepSeek V4 (Flash) model, despite its large 284 billion parameter size. The model is significantly cheaper to use than smaller models like Qwen, leading to speculation about its architecture or potential pricing strategies by providers. Some users are questioning if the low cost is sustainable or if it's a form of market dumping. AI

IMPACT The discussion highlights potential cost efficiencies in large model deployment, which could influence future infrastructure and pricing strategies.

RANK_REASON User discussion on pricing and viability of a specific model.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek V4 Flash model's low running cost sparks user debate

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/ihatebeinganonymous ·

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

    <!-- SC_OFF --><div class="md"><p>Hi. I don't have a GPU. So my biggest &quot;local LLM&quot; experience has been running ~26B models with single-digits tps values. </p> <p>However, the &quot;serving economy&quot; of DSv4 models look like a riddle to me. The Flash model has 284B …