DeepSeek V4.1 Flash gains traction as local inference engines close speed gaps
Community tests show DeepSeek-V4.1-Flash running on single GPUs with system RAM via new engines like Delta Inference Engine and RustingStrata, while benchmark comparisons with Qwen 3.8 FN and optimized deployments on DGX Spark and B200 systems highlight its efficiency.
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Timeline · 7 reports
- 2026-11-12 04:25 · DEV Community — Machine Learning
Evaluating DeepSeek-V4.1-Flash-1017 on a 60-Page PDF: What Text Extraction Misses - 2026-11-11 22:07 · r/machinelearningnews
New Inference Optimization technique speeds DeepSeek-V4.1-Flash up 3x on B200 than vLLM and SGLang running on GB300 - 2026-11-10 10:19 · DEV Community — AI
DeepSeek V4.1 Flash in DeepSeek Harness: GenUI praktisch einrichten und prüfen - 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 - 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 - 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) - 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