Deepseek V4 (Fully Tested): I JUST GOT ACCESS & TESTED DEEPSEEK-V4!!

Why It Matters

Deepseek V4’s strong code‑generation ability positions it as a competitive AI developer aid, yet its visual and reasoning shortcomings highlight the need for further refinement before widespread enterprise adoption.

Key Takeaways

• Deepseek V4 offers instant and expert modes with multimodal support
• Expert mode restricts to single prompt, limiting concurrent usage
• Model generates functional 3D HTML/JS code but struggles with visual fidelity
• Image generation outputs often have proportion errors and unrealistic details
• Simple question answering stalls, indicating possible limitations in reasoning

Summary

The video walks viewers through early access to Deepseek V4, the latest model from the Deepseek platform, highlighting its new dual‑mode interface—Instant for quick responses and Expert for higher‑quality, multimodal outputs. The reviewer notes that Expert mode permits only one prompt at a time, a restriction that could affect workflow for power users.

Across a series of hands‑on tests, the model demonstrates impressive code generation capabilities, delivering complete HTML, CSS, and JavaScript files for 3D floor plans, Pokéball visualizations, and chess boards. However, the visual fidelity is uneven: a panda SVG suffers from distorted hands, a butterfly rendering looks more like a garland than an insect, and the chess board’s autoplay controls fail to function. Simple factual questions also cause the model to stall mid‑answer, suggesting gaps in reasoning.

Specific examples underscore these strengths and weaknesses. The floor‑plan request produced a well‑structured 3D layout using Three.js, while the Pokéball example showed a polished dark‑blue aesthetic reminiscent of GPT‑4‑Turbo. Conversely, the panda illustration and butterfly scene revealed proportion errors, and the QA segment highlighted the model’s tendency to get stuck, likely to be addressed in the forthcoming API release.

The early findings suggest Deepseek V4 could become a valuable tool for developers needing rapid code scaffolding, but its current limitations in image realism and logical consistency mean enterprises should temper expectations until the API matures. Monitoring its evolution will be crucial for teams evaluating next‑generation multimodal AI solutions.

Original Description

In this video, I'll be talking about DeepSeek's newly rolled-out model and updated interface, which many people believe could be DeepSeek V4. I tested it across several coding, SVG, 3D, and reasoning tasks to see how well it performs and whether it actually lives up to the hype.

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Key Takeaways:

🚀 DeepSeek appears to be rolling out a brand-new model and interface, and it may be DeepSeek V4.

🧠 The new Expert mode seems to be the more powerful option, while Instant mode handles image prompts and multimodal tasks.

🏠 DeepSeek performed well on some generation tests, especially the 3D floor plan and the Three.js Pokeball.

🎨 Some creative outputs, like the panda SVG and butterfly scene, were noticeably weaker and had quality issues.

♟️ The chess board demo looked visually impressive, but the autoplay feature did not work properly.

🌲 The 3D Minecraft-style demo was promising, although the controls did not function correctly.

📉 On simpler question-answering tests, the model sometimes got stuck midway, showing that it still has limitations.

👍 Overall, the update looks promising, but it may not be as large or as strong as DeepSeek R1.