Deepseek v4: Best Opensource Model Ever? (Fully Tested)

DeepSeek is BACK with the V4 release… but is it actually the best open-source model ever? In this video, I put DeepSeek V4 Pro and DeepSeek V4 Flash to the test — from coding, agentic workflows, and long-context tasks, to real-world generation like building apps, animations, and even a Minecraft clone. 🔗 My Links: Sponsor a Video or Do a Demo of Your Product, Contact me: [email protected] 🔥 Become a Patron (Private Discord): https://patreon.com/WorldofAi 🧠 Follow me on Twitter: https://twitter.com/intheworldofai 🚨 Subscribe To The SECOND Channel: https://www.youtube.com/@UCYwLV1gDwzGbg7jXQ52bVnQ 👩🏻‍🏫 Learn to code with Scrimba – from fullstack to AI https://scrimba.com/?via=worldofai (20% OFF) 🚨 Subscribe To The FREE AI Newsletter For Regular AI Updates: https://intheworldofai.com/ 👾 Join the World of AI Discord! : https://discord.gg/NPf8FCn4cD Something coming soon :) https://www.skool.com/worldofai-automation [Must Watch]: Claude Code + Ollama = FULLY FREE AI Coding FOREVER! (Tutorial): https://youtu.be/mN2VUw5Fb3E?si=w8U-WHkeyobCIT0c Claude Code + OpenRouter = Free UNLIMITED AI Coding (No Local Setup): https://youtu.be/cq6GGKKZRJE Gemma 4 Is INCREDIBLE! Google's Open Model IS POWERFUL! (Fully Tested): https://youtu.be/KW5SFt3rgKo 📌 LINKS & RESOURCES https://x.com/deepseek_ai/status/2047516922263285776 https://huggingface.co/collections/deepseek-ai/deepseek-v4 https://chat.deepseek.com/ https://api-docs.deepseek.com/guides/thinking_mode With 1.6T parameters (49B active) and a 1M context window, this model looks insane on paper… but does it actually live up to the hype? I break down: Real-world coding performance (not just benchmarks) Arena rankings vs Kimi K2.6 & GLM 5.1 Agentic workflow capabilities Long-context performance Cost vs quality tradeoffs Where it actually shines… and where it falls apart Spoiler: this might be one of the most efficient models we’ve seen… but that doesn’t mean it’s the best. 🔥 Key Takeaways • 1M context is insane for long workflows • Super cost-efficient compared to closed models • Strong in reasoning + knowledge tasks • Falls short in creativity + polished outputs • Benchmarks don’t fully reflect real-world performance [Time Stamps]: 0:00 - Introduction 0:53 - Benchmark Maxxing 1:29 - Cost Efficiency 2:09 - Benchmarks 2:23 - MacOS Demo 3:16 - DeepSeek Lying... 4:25 - Pricing 4:48 - How To Use 5:05 - Three.js Demo 5:32 - Frontend 8:23 - Minecraft Clone 9:05 - Product Viewer 💬 Comment below: Should I keep doing raw model tests like this or stick to tool breakdowns? 📌 Tags (comma separated): deepseek v4, deepseek v4 pro, deepseek v4 flash, deepseek ai, open source ai, llm, large language models, ai coding, agentic ai, ai agents, kimi k2.6, glm 5.1, ai comparison, ai benchmarks, coding ai, ai tools 2026, deepseek review, ai model test, open weight models, ai development Hashtags: #DeepSeek #AI #LLM #OpenSourceAI #AICoding #Tech #ArtificialIntelligence #MachineLearning #AIModels #AgenticAI