DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is DeepSeek's multimodal Mixture-of-Experts model: 552 billion parameters with 8B active per token during prefill and 16B during decode, native image and text input, and a one-million-token context window built for input-heavy agentic workloads.
Model
DeepSeek V4.1 Flash is the smallest model in DeepSeek's new architecture family and its first with native visual understanding. A 552-billion-parameter Mixture-of-Experts model with a Causal Encoder-Decoder design, it activates just 8B parameters per input token and 16B per output token, and its KV cache needs a quarter of the HBM of DeepSeek V4 Flash, improving cost efficiency. Larger-scale RL post-training puts it ahead of DeepSeek V4 Pro on agentic coding benchmarks such as Terminal-Bench and DeepSWE.
It supports tool calling, JSON mode, structured outputs and a controllable reasoning effort. Full details are in DeepSeek's announcement and on Hugging Face.
Shared Endpoint
On a Shared Endpoint, you pay per token. The endpoint is OpenAI-compatible and already live: point your existing SDK at it and start sending requests.
Dedicated Endpoint
DocsA Dedicated Endpoint is your own deployment of DeepSeek V4.1 Flash, on an inference stack that Modal tunes and autoscales. Bring fine-tuned weights if you have them. Compute is billed by the second, and only while it runs.
modal endpoint create --model deepseek-ai/DeepSeek-V4.1-Flash