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DeepSeek V4.1 Flash draws wave of benchmarks, cost tests and local-run experiments

Community reports benchmark DeepSeek V4.1 Flash against Claude Haiku 5.5 and Qwen 3.8 FN, analyze its output-heavy API costs, and run quantized versions locally on modest hardware via new inference engines.

Read the full story at DEV Community — AI ↗

Timeline · 7 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
  7. 2026-11-08 03:33 · DEV Community — AI
    DeepSeek V4.1 Flash vs Claude Haiku 5.5: a 17-task benchmark of the two cheapest tiers

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