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DeepSeek-V4-Pro

Qwen3.5-9B is a 9B-parameter, open-weight multimodal foundation model from Alibaba Cloud that delivers strong reasoning, coding, and vision-language performance with a 262K-token native context window.
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How to Get Started

Step 1

Sign Up and get your Api Key and use with UNLIMITED tokens for 30 days.

Step 2

Paste the URL from Huggingface repository: https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro

Step 3

Choose the GPU machine to deploy.

That’s all! You’re ready to use the model in few minutes without infrastructure complexity in few minutes.


Additional Info


Applications & Use Cases

  • High‑end coding copilots and DevOps assistants that tackle complex repositories, competitive‑programming‑style problems, and infrastructure tasks, leveraging strong scores on LiveCodeBench, Codeforces, SWE‑bench Verified/Pro, and Terminal‑Bench 2.0.
  • Long‑context RAG and research agents that operate over up to 1M tokens of mixed text (papers, books, logs, wikis), using hybrid CSA+HCA attention to keep FLOPs and KV cache practical.
  • Multi‑step, tool‑rich agents where different reasoning modes (fast vs Think High vs Think Max) trade latency for stronger analysis in planning, data transformation, and decision‑support workflows.
  • Teacher and evaluation models for distillation into smaller LLMs, using V4‑Pro’s near‑frontier benchmark profile across knowledge, math, and coding as an open MIT‑licensed reference.
  • Experimental long‑horizon applications—such as simulation control, complex what‑if analysis, or multi‑day conversational threads—where a stable 1M‑token context and MoE efficiency are more important than minimal model size.