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.
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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
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