Deepseek v4 Pro: 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.

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📌 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):
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Hashtags:
#DeepSeek #AI #LLM #OpenSourceAI #AICoding #Tech #ArtificialIntelligence #MachineLearning #AIModels #AgenticAI Receive SMS online on sms24.me

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