DeepSeek V4 Flash Vision Exp
304.6B total, 34.1B active · 1024k context · MIT License · released 2026-08-31
visionagenticcodingreasoning
What to run it on in India
Fully in memory at 128k 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).
| Quant | File |
|---|
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.