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How much VRAM does Qwen3.6 35B A3B need?

Qwen3.6 35B A3B needs 20.3 GB for its weights at 4-bit, 21.5 GB with an 8K context and 22.0 GB with 32K. At 8-bit, 36.8 GB.

Parameters
36B
Active per token
3B
Longest context
256K
Released
Apr 2026
License
Apache 2.0
Strongest at
Chat, Coding, Agents, Docs

Memory at each precision

Memory Qwen3.6 35B A3B needs at each precision and context length
PrecisionWeightsWith 8KWith 32KWith 128K
16-bit67.0 GB68.2 GB68.6 GB70.5 GB
8-bit35.6 GB36.8 GB37.2 GB39.1 GB
6-bit27.5 GB28.7 GB29.1 GB31.0 GB
5-bit23.8 GB25.0 GB25.5 GB27.4 GB
4-bit20.3 GB21.5 GB22.0 GB23.8 GB
3-bit16.4 GB17.6 GB18.0 GB19.9 GB
2-bit12.6 GB13.8 GB14.2 GB16.1 GB
1.6-bit6.9 GB8.1 GB8.6 GB10.5 GB

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

What runs it

The best way Qwen3.6 35B A3B runs on common GPUs, Macs and AI boxes
MachineBest fitContextSpeedFirst reply
RTX 3060 12 GBToo big
RTX 4060 Ti 16 GBToo big
RTX 30904-bit72K190 tok/s0.4 s
RTX 40904-bit72K197 tok/s0.2 s
RTX 50906-bit96K227 tok/s0.1 s
2× RTX 30908-bit256K136 tok/s0.2 s
RTX PRO 6000 Blackwell8-bit256K200 tok/s0.1 s
M4 Max 128 GB8-bit256K68 tok/s2.5 s
M5 Max 128 GB8-bit256K73 tok/s0.7 s
Ryzen AI Max+ 395 128 GB8-bit256K40 tok/s1.4 s
DGX Spark 128 GB8-bit256K52 tok/s0.8 s
M3 Ultra 256 GB8-bit256K85 tok/s1.4 s
M5 Ultra 512 GB8-bit256K102 tok/s0.4 s
H100 SXM8-bit256K264 tok/s0.1 s
DGX Station GB3008-bit256K327 tok/s0.1 s
8× H200 NVL8-bit256K297 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

Ollama
ollama run qwen3.6:35b-a3b
llama.cpp
llama-server -hf unsloth/Qwen3.6-35B-A3B-GGUF
vLLM
vllm serve Qwen/Qwen3.6-35B-A3B
MLX (Mac)
mlx_lm.chat --model mlx-community/Qwen3.6-35B-A3B-4bit

Questions

How much VRAM does Qwen3.6 35B A3B need?

Qwen3.6 35B A3B needs 20.3 GB for its weights at 4-bit, 21.5 GB with an 8K context and 22.0 GB with 32K. At 8-bit, 36.8 GB.

Can Qwen3.6 35B A3B run on an RTX 4090?

Yes. At 4-bit it holds 72K of context and writes about 197 tokens a second.

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