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Batch Inference is now generally available on Runpod Serverless

DeepSeek

DeepSeek V4.1 Flash

DeepSeek's open vision-language model with a 1M-token context, ready to serve on Runpod Serverless with vLLM or on a Pod.

Vision + language
Text generation
1M context
See deploy options

DeepSeek V4.1 Flash

Specifications

Provider
DeepSeek
Modality
Vision + language
Task
Text generation
Parameters
Active parameters
Context
1M tokens
Precision
Quantized
Weights
765
License
mit
Released
2026-09-09
Endpoint ID
Weights on Hugging Face
deepseek-ai/DeepSeek-V4.1-Flash

Frequently asked questions

How do I deploy DeepSeek V4.1 Flash 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. 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?

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 cost on Runpod?

Serverless endpoints and Pods bill per second for the GPU you choose. A Serverless endpoint costs nothing while scaled to zero.

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No items found.
deepseek-ai-deepseek-v4-1-flash
deepseek-ai/DeepSeek-V4.1-Flash
Vision + language
2026-09-09 17:00
8× H200