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How much VRAM does DeepSeek V4 Flash need?

DeepSeek V4 Flash needs 155 GB for its weights as released (FP4 + FP8), 156 GB with an 8K context and 156 GB with 32K.

Parameters
284B
Active per token
13B
Longest context
1M
Released
Jul 2026
License
MIT
Strongest at
Docs

Memory at each precision

Memory DeepSeek V4 Flash needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
As released (FP4 + FP8)155 GB156 GB156 GB157 GB
3-bit129 GB130 GB130 GB131 GB
2-bit99.2 GB100 GB100 GB101 GB
1.6-bit54.6 GB55.4 GB55.6 GB56.1 GB

One conversation, 16-bit context cache, runtime overhead included.

What runs it

The best way DeepSeek V4 Flash runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GBToo big
RTX 3090Too big
RTX 4090Too big
RTX 5090Too big
2× RTX 3090Too big
RTX PRO 6000 BlackwellToo big
M4 Max 128 GBToo big
M5 Max 128 GBToo big
Ryzen AI Max+ 395 128 GBToo big
DGX Spark 128 GB2-bit1M25 tok/s2.8 s
M3 Ultra 256 GBFP4 + FP81M24 tok/s7.7 s
M5 Ultra 512 GBFP4 + FP81M33 tok/s2.4 s
H100 SXMToo big
DGX Station GB300FP4 + FP81M157 tok/s0.2 s
8× H200 NVLFP4 + FP81M122 tok/s0.1 s

Best fit is the highest quality, up to 8-bit, that leaves 16K of context. First reply is the wait for a 2K prompt. Speeds are rough, plus or minus 25%.

How to run it

llama.cpp
llama-server -hf unsloth/DeepSeek-V4-Flash-0731-GGUF
vLLM
vllm serve deepseek-ai/DeepSeek-V4-Flash-0731
MLX (Mac)
mlx_lm.chat --model mlx-community/DeepSeek-V4-Flash-0731-2.4bit-mixed

Questions

How much VRAM does DeepSeek V4 Flash need?

DeepSeek V4 Flash needs 155 GB for its weights as released (FP4 + FP8), 156 GB with an 8K context and 156 GB with 32K.

Can DeepSeek V4 Flash run on an RTX 4090?

Not on one card. The smallest machine here that runs it is the DGX Spark 128 GB.

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