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DeepSeek V4.1 Flash API: Clean and Tag 10,000 Comments, and What It Costs

If you tag 10,000 social comments with DeepSeek V4.1 Flash, most of the model bill is output. The labels that the model writes cost 74% to 83% of the model fee. The comments that it reads cost much less. Short codes instead of full JSON, plus off-peak hours, bring the measured model fee in our Chin…

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Timeline · 6 reports

  1. 2026-11-10 10:19 · DEV Community — AI
    DeepSeek V4.1 Flash in DeepSeek Harness: GenUI praktisch einrichten und prüfen
  2. 2026-11-09 23:32 · r/LocalLLaMA
    Same prompt, DeepSeek V4.1 Flash vs Qwen 3.8 FN: 94 tok/s vs 350 tok/s
  3. 2026-11-09 19:49 · r/LocalLLM
    RustingStrata vs llama.cpp runs DeepSeek-V4.1-Flash Q2 (249 GB) on a single RTX 3060 12 GB with 30 GB RAM
  4. 2026-11-09 13:47 · r/LocalLLM
    DeepSeek V4.1 Flash Unsloth IQ2 at 42 tok/s on one RTX 3090 + 192 GB RAM: Delta Inference Engine 0.94 (native Windows)
  5. 2026-11-09 05:54 · DEV Community — AI
    Ollama vs. llama.cpp on the Same GGUF: The 15% Speed Gap Was the Defaults, Not the Engine
  6. 2026-11-08 20:27 · DEV Community — AI
    DeepSeek V4.1 Flash API: Clean and Tag 10,000 Comments, and What It Costs

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