DeepSeek-V4.1-Flash gains traction with major serving speedups and local deployments
New inference optimizations and a vLLM retuning for Rubin hardware report up to 58x throughput gains for DeepSeek-V4.1-Flash, while users run the model locally on older GPUs for legal work and document analysis.
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Timeline · 6 reports
- 2026-11-12 23:37 · r/LocalLLM
[Crazy AI Lawyer] My Claude legal harness now runs 100% local on DeepSeek-V4.1-Flash: eight 2018 V100s at near-NVFP4 quality, 524K context, 100+ tok/s. Not as good as frontier, but it replaces real work today - 2026-11-12 23:31 · r/LocalLLaMA
Lawyer with too many GPUs, part 5: DeepSeek-V4.1-Flash at near-NVFP4 quality on eight V100s from 2018. 524K context, 100+ tok/s decode, ~160 tok/s with two chats at once, and my legal harness now runs on it, 100% local - 2026-11-12 22:31 · AlphaSignal
vLLM Rebuilds DeepSeek-V4.1-Flash Serving to Run 58x Faster on Rubin - 2026-11-12 04:25 · DEV Community — Machine Learning
Evaluating DeepSeek-V4.1-Flash-1017 on a 60-Page PDF: What Text Extraction Misses - 2026-11-12 00:50 · r/LocalLLaMA
DeepSeek V4.1 Flash 1017 exl3 2.9bpw APEX 2025 benchmark results - 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