DeepSeek V4 Flash Vision Exp

304.6B total, 34.1B active · 1024k context · MIT License · released 2026-08-31

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What to run it on in the US

Fully in memory at 32k context, priced at retailers today.

Nothing we price holds this model fully in memory.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

Nothing we price can run it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

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Run it

Copy a command for the runtime you use.

No published builds to run yet.

Notes

Experimental multimodal model; the example vLLM deployment uses a single 4×GB300 node with tensor parallel 4. It requires a dedicated vLLM image (vllm/vllm-openai:deepseekv4-flash-vision) or SGLang with DSPARK speculative decoding. Sparse or compressed attention: KV read per token is estimated as full attention. deepseek_v4 layout is new; verify against measured results.

Questions

What licence is DeepSeek V4 Flash Vision Exp released under?
MIT License, which allows commercial use.