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How much VRAM does Qwen3.5 397B A17B need?

Qwen3.5 397B A17B needs 228 GB for its weights at 4-bit, 229 GB with an 8K context and 230 GB with 32K. At 8-bit, 401 GB.

Parameters
403B
Active per token
17B
Longest context
256K
Released
Feb 2026
License
Apache 2.0
Strongest at
Agents, Docs

Memory at each precision

Memory Qwen3.5 397B A17B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit751 GB753 GB754 GB756 GB
8-bit399 GB401 GB401 GB404 GB
6-bit308 GB310 GB310 GB313 GB
5-bit267 GB269 GB269 GB272 GB
4-bit228 GB229 GB230 GB233 GB
3-bit184 GB185 GB186 GB189 GB
2-bit141 GB142 GB143 GB146 GB
1.6-bit77.5 GB78.9 GB79.7 GB82.5 GB

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

What runs it

The best way Qwen3.5 397B A17B 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 Blackwell1.6-bit256K153 tok/s0.8 s
M4 Max 128 GB1.6-bit256K53 tok/s18 s
M5 Max 128 GB1.6-bit256K57 tok/s5.1 s
Ryzen AI Max+ 395 128 GB1.6-bit256K34 tok/s10 s
DGX Spark 128 GB1.6-bit256K44 tok/s3.6 s
M3 Ultra 256 GB2-bit256K48 tok/s9.9 s
M5 Ultra 512 GB6-bit256K38 tok/s3.1 s
H100 SXMToo big
DGX Station GB3004-bit256K175 tok/s0.3 s
8× H200 NVL8-bit256K111 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/Qwen3.5-397B-A17B-GGUF
vLLM
vllm serve Qwen/Qwen3.5-397B-A17B
MLX (Mac)
mlx_lm.chat --model mlx-community/Qwen3.5-397B-A17B-4bit

Questions

How much VRAM does Qwen3.5 397B A17B need?

Qwen3.5 397B A17B needs 228 GB for its weights at 4-bit, 229 GB with an 8K context and 230 GB with 32K. At 8-bit, 401 GB.

Can Qwen3.5 397B A17B run on an RTX 4090?

Not on one card. The smallest machine here that runs it is the RTX PRO 6000 Blackwell.

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