DeepSeek
DeepSeek V4.1 Flash 1017
DeepSeek's open vision-language model with a 1M-token context, ready to serve on Runpod Serverless with vLLM or on a Pod.
DeepSeek V4.1 Flash 1017
Specifications
Provider
DeepSeek
Modality
Vision + language
Task
Text generation
Parameters
Active parameters
Context
1M tokens
Precision
Quantized
Weights
765
License
mit
Released
2026-10-16
Endpoint ID
Weights on Hugging Face
deepseek-ai/DeepSeek-V4.1-Flash-1017
Frequently asked questions
How do I deploy DeepSeek V4.1 Flash 1017 on Runpod?
Deploy the vLLM worker from the Runpod Hub as a Serverless endpoint and set MODEL_NAME to deepseek-ai/DeepSeek-V4.1-Flash-1017. The endpoint is OpenAI-compatible and scales to zero when idle. You can also run vLLM on a Pod.
What GPU do I need to run DeepSeek V4.1 Flash 1017?
Start with 8× H200 (1128 GB VRAM). The weights take about 765 GB; longer contexts and more concurrent requests need extra memory for the KV cache.
How much does DeepSeek V4.1 Flash 1017 cost on Runpod?
Serverless endpoints and Pods bill per second for the GPU you choose. A Serverless endpoint costs nothing while scaled to zero.
deepseek-ai-deepseek-v4-1-flash-1017
deepseek-ai/DeepSeek-V4.1-Flash-1017
Vision + language
2026-10-16 17:00
8× H200