DeepSeek V4 Flash: The Best Open Model You can Actually Run!

From the creator

DeepSeek V4 Flash (Official) Runs Locally: Benchmarks, Cost, and DGX Spark Setup I test the official DeepSeek V4 Flash (July 31 edition) running entirely locally and break down DeepSeek’s released benchmarks, where it beats the prior V4 Pro/Flash preview and even outperforms larger models like GLM 5.2, while approaching Opus 4.8 for a fraction of the size. I also explain why benchmark harnesses matter (including DeepSeek’s agent harness and an OpenAI harness example) and highlight internal DS Bench results. I cover pricing (about $0.02/M input tokens and ~$0.30/M output tokens), token efficiency on the AI Index cost curve, and agentic coding results like Terminal Bench. Then I demo Open Code harness runs (Pokémon encyclopedia and an International Space Center tracker), show ~20–30 tok/s on two DGX Sparks in FP4, discuss the 1M context window, hardware/VRAM needs for 4-bit and 3-bit, and options like Dwarf Star for SSD offloading and mixed precision. Thanks to @NVIDIADeveloper for DGX Sparks. LINK: https://www.deepseek.com/en/ https://api-docs.deepseek.com/guides/responses_api/ https://github.com/antirez/ds4 https://x.com/UnslothAI/status/2083231049434435596 https://artificialanalysis.ai/#intelligenceDwarfStar https://x.com/stevibe/status/2083120066678464750 Video: https://youtu.be/9gHcmhUDJfw Long Running Agents: https://youtu.be/ju7R6jer6_M My voice to text App: whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 0:00 - Introduction to DeepSeek V4 Flash 0:55 - Shocking Benchmark Results & Performance Efficiency 0:2:42 - The Impact of Optimized Harnesses on Performance 0:4:23 - Pricing & The "Pareto Frontier" of Cost vs. Intelligence 0:5:04 - Running DeepSeek V4 Flash Locally 0:7:20 - Live Demo: Agentic Coding & Pokemon Encyclopedia Test 0:8:34 - Live Demo: ISS Tracker with Real-time UI 0:9:39 - Limitations: Text-only & Multimodal Alternatives 0:10:51 - Hardware Requirements for Local Setup 0:12:52 - Final Results & Summary

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AI Maker Residence 3

The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.

◆ Fri 09 Oct 2026 ◆ KOKO Cafe, London ◆ With Nick Sarafa
AI Maker Residence 3
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AI Maker Residence 3
Fri 09 Oct 2026

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