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DeepSeek V4 Flash for FREE? Here’s the Trick

Name: DeepSeek V4 Flash for FREE? Here’s the Trick
Uploaded: 2026-08-11T16:00:03.000Z
Duration: 8 min 22 s
Channel: Julian Goldie Agency
Description: DeepSeek V4 Flash, a free MIT-licensed AI model, covering setup, benchmarks, and integration in Agent OS for AI agents.

Julian Goldie Agency11 August 2026Watch on YouTube

Part of series

Ep. 7 · DeepSeek V4 Pro: frontier voor minder

Analyseert hoe DeepSeek V4 Pro frontier-level AI-prestaties levert tegen een fractie van de kosten van concurrerende modellen.

View the series

What you'll learn

DeepSeek V4 Flash beats its own larger Pro model on benchmarks such as Terminal Bench (82.7) and Cyber Gym (76.7).
The MIT license lets you download the weights and run the model yourself, without a waitlist or approval.
Running it locally works through vLLM or SGLang, both supporting the speculative decoding feature DSpark.
DeepSeek recommends temperature 1.0 with top_p 0.95 for agentic tasks and allows up to 384,000 tokens of output at higher reasoning effort.

Frequently asked questions

Why would you pick DeepSeek V4 Flash over the larger Pro model?

On agentic benchmarks such as Terminal Bench, Cyber Gym and Automation Bench, V4 Flash scores higher than the Pro model while using far fewer activated parameters. An agent built on it can move through tasks faster and each task uses less compute.

How do you use DeepSeek V4 Flash for free?

The model is released under the MIT license, which makes its weights open. You download it and run it yourself on your own setup through vLLM or SGLang, with no waitlist or approval needed.

What local setup does DeepSeek recommend for this model?

DeepSeek documents a setup on a single node with four GB300 chips that splits the work using expert parallelism. If you lack that exact hardware, the vLLM and SGLang guides cover other configurations too.

Topics

deepseek open-source models agent os ai applications

Sources

What is known about this topic outside the broadcast, and where it says so.

Description from the channel

Get the Agent OS + DeepSeek Masterclass 👉 https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here 👉 https://www.skool.com/ai-profit-lab-7462/about Free SEO Strategy Session 👉 https://go.juliangoldie.com/strategy-session?utm=julian Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Video notes + links to the tools 👉 https://www.skool.com/ai-profit-lab-7462/about DeepSeek V4 Flash is MIT-licensed and free to run yourself — no gatekeeping, no weight list. Here's the trick most people miss, plus the exact setup to run it through Agent OS. 00:00 Intro – The simpler way to run DeepSeek V4 Flash 00:20 Overview – Outperforming bigger names for free 00:35 Speculative Decoding – Faster without losing quality 00:43 Benchmarks – Beats Pro & rivals Opus 4.8 01:09 Real Build – Landing page built inside Agent OS 01:48 The Real Unlock – Giving the model a system to work in 02:12 The Trick – Why MIT license changes everything 02:35 Local Setup – VLLM vs SGLang paths 03:29 Reasoning Effort – Low vs high vs max 03:50 Encoding Setup – No standard chat template 04:20 Sampling Settings – Temperature & top P 05:00 Hardware Guide – GB300 chip deployment 05:24 More Benchmarks – NL2Repo, DeepSWE & tool use 06:28 Why It Matters – Fewer params, faster agents 06:51 The Simple Breakdown – Model + Agent OS + Open Code 07:13 Recap – The full picture 07:38 Community – AI Success Lab & AI Profit Boardroom