DeepSeek V4.1 Flash draws wave of local inference tests across hardware setups
Community reports benchmark DeepSeek V4.1 Flash (763B MoE) on Macs, single RTX GPUs with system RAM, and compare its speed and cost against Claude Haiku 5.5 and Qwen 3.8 FN.
Read the full story at r/LocalLLM ↗
Timeline · 7 reports
- 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 - 2026-11-08 20:27 · DEV Community — AI
DeepSeek V4.1 Flash API: Clean and Tag 10,000 Comments, and What It Costs - 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 - 2026-11-07 06:39 · r/LocalLLM
Two Thunderbolt 5 SSDs in RAID 0 made DeepSeek V4.1 Flash (763B) about 25% faster on my M3 Ultra with InferSSD