Deepseek v4: Best Opensource Model Ever? (Fully Tested)
Deep Seek version 4 introduces two open-source models, Pro and Flash, with significant parameter sizes and claims of superior performance, but real-world testing reveals limitations in creativity and execution compared to other models.
MAIN POINTS FROM TRANSCRIPT
- Deep Seek version 4 includes Pro and Flash models with 1.6 trillion and 284 billion parameters, respectively.
- The Pro model claims top performance in reasoning, coding, and world knowledge, rivaling closed-source models.
- Flash model offers cost-effective, efficient reasoning for simpler tasks with 13 billion active parameters.
- Real-world testing shows subpar performance in creativity and execution compared to models like Kim K 2.6 and Quen 3.6 Plus.
TAKEAWAYS
- Deep Seek version 4 is open-source under the MIT license, offering accessibility and potential for future improvements.
- The models are optimized for benchmarks, but real-world applications reveal weaknesses in creativity and execution.
- Flash model performs better in certain scenarios despite overall lackluster generation capabilities.
- The official release may address current drawbacks, enhancing the models' real-world applicability.