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Qwen3.6-27B

Alibaba · 27.8B · ctx 256K · apache-2.0 · HuggingFace

Qwen3.6-27B (Alibaba) is a 27.8B parameters open-weight model tracked on AI Hashrate. At 8K context we estimate roughly 21.85 GB VRAM for Q4 (weights 15.29 GB + KV 5.56 GB + 1 GB overhead) and 62.16 GB for FP16. About 21 GPUs/accelerators in our catalog fully fit this model at Q4 under that context assumption. Fastest Q4 configs: B200 192GB SXM ≈ 183.1 tok/s (estimated); MI300X 192GB ≈ 121.3 tok/s (estimated); H200 141GB SXM5 ≈ 109.9 tok/s (estimated); H100 80GB SXM5 ≈ 76.7 tok/s (estimated); Gaudi 3 128GB ≈ 75.0 tok/s (estimated). Use the table below for VRAM fit and tok/s per dollar (list MSRP). Estimates follow memory-bandwidth math; measured rows override when present. See methodology for details. Methodology.

85 hardware configs — sorted by tok/s. Default fit context 8K.

HardwareVRAMQuanttok/sFits?tok/s/$
B200 192GB SXM192Q4183.1 est.Yes0.005
MI300X 192GB192Q4121.3 est.Yes0.008
H200 141GB SXM5141Q4109.9 est.Yes0.003
H100 80GB SXM580Q476.7 est.Yes0.003
Gaudi 3 128GB128Q475.0 est.Yes0.006
B200 192GB SXM192FP1650.4 est.Yes0.001
A100 80GB SXM480Q446.7 est.Yes0.003
RX 7900 XT 20GB20Q443.8 est.No0.049
RTX 5090 32GB32Q441.0 est.Yes0.021
RTX 5080 16GB16Q433.7 est.No0.034
MI300X 192GB192FP1633.4 est.Yes0.002
RTX 5070 Ti 16GB16Q431.4 est.No0.042
H200 141GB SXM5141FP1630.2 est.Yes0.001
RTX 4080 Super 16GB16Q425.8 est.No0.026
RTX 4070 Ti Super 16GB16Q423.6 est.No0.03
RTX 4090 24GB24Q423.1 est.Yes0.014
RTX 4090D 24GB (China)24Q423.1 est.Yes0.014
RTX 3090 Ti 24GB24Q423.1 est.Yes0.012
RX 9070 16GB16Q422.4 est.No0.041
RX 9070 XT 16GB16Q422.4 est.No0.037
RX 7900 XTX 24GB24Q422.0 est.Yes0.022
RTX 6000 Ada 48GB48Q422.0 est.Yes0.003
RX 7800 XT 16GB16Q421.9 est.No0.044
RTX 3090 24GB24Q421.4 est.Yes0.014
H100 80GB SXM580FP1621.1 est.Yes0.001
Gaudi 3 128GB128FP1620.6 est.Yes0.002
RX 7900 GRE 16GB16Q420.2 est.No0.037
L40S 48GB48Q419.8 est.Yes0.002
Arc A770 16GB16Q419.6 est.No0.056
Mac Studio M3 Ultra 96GB96Q418.7 est.Yes0.005
Mac Studio M2 Ultra 192GB192Q418.3 est.Yes0.003
RTX A6000 48GB48Q417.6 est.Yes0.004
RTX 5060 Ti 16GB16Q415.7 est.No0.037
RTX 5070 12GB12Q413.3 est.No0.024
A100 80GB SXM480FP1612.8 est.Yes0.001
MacBook Pro M4 Max 128GB128Q412.5 est.Yes0.003
T4 16GB16Q411.2 est.No0.006
RTX 4070 Ti 12GB12Q410.9 est.No0.014
RTX 3080 10GB10Q410.4 est.No0.015
RTX 6000 Ada 48GB48FP1610.3 est.No0.002
RTX 4060 Ti 16GB16Q410.1 est.No0.02
RX 7600 XT 16GB16Q410.1 est.No0.031
RTX 4070 12GB12Q49.9 est.No0.017
RTX 4070 Super 12GB12Q49.9 est.No0.017
L40S 48GB48FP169.3 est.No0.001
MacBook Pro M3 Max 128GB128Q49.2 est.Yes0.002
Arc B580 12GB12Q49.0 est.No0.036
RTX 5090 32GB32FP168.5 est.No0.004
RX 7700 XT 12GB12Q48.5 est.No0.019
RTX A6000 48GB48FP168.2 est.No0.002
RTX 3060 12GB12Q47.1 est.No0.022
Mac mini M4 Pro 64GB64Q46.2 est.Yes0.003
Arc B570 10GB10Q45.2 est.No0.024
Mac mini M4 Pro 64GB64FP165.2 est.No0.002
Mac Studio M3 Ultra 96GB96FP165.2 est.Yes0.001
Mac Studio M2 Ultra 192GB192FP165.0 est.Yes0.001
RTX 5060 8GB8Q43.9 est.No0.013
RTX 5060 Ti 8GB8Q43.9 est.No0.01
RTX 3070 8GB8Q43.9 est.No0.008
MacBook Pro M4 Max 128GB128FP163.4 est.Yes0.001
RTX 4090 24GB24FP162.7 est.No0.002
RTX 4090D 24GB (China)24FP162.7 est.No0.002
RTX 3090 Ti 24GB24FP162.7 est.No0.001
Mac mini M4 32GB32Q42.7 est.Yes0.003
RX 7900 XTX 24GB24FP162.6 est.No0.003
RTX 3090 24GB24FP162.5 est.No0.002
MacBook Pro M3 Max 128GB128FP162.5 est.Yes0.001
RTX 4060 Ti 8GB8Q42.5 est.No0.006
RX 7600 8GB8Q42.5 est.No0.009
RTX 4060 8GB8Q42.4 est.No0.008
RX 7900 XT 20GB20FP161.5 est.No0.002
RTX 5080 16GB16FP161.1 est.No0.001
RTX 5070 Ti 16GB16FP161.1 est.No0.001
RTX 4080 Super 16GB16FP160.9 est.No0.001
RTX 4070 Ti Super 16GB16FP160.8 est.No0.001
RX 9070 16GB16FP160.8 est.No0.001
RX 9070 XT 16GB16FP160.8 est.No0.001
RX 7800 XT 16GB16FP160.7 est.No0.001
RX 7900 GRE 16GB16FP160.7 est.No0.001
Arc A770 16GB16FP160.7 est.No0.002
Mac mini M4 32GB32FP160.6 est.No0.001
RTX 5060 Ti 16GB16FP160.5 est.No0.001
T4 16GB16FP160.4 est.No0.0
RTX 4060 Ti 16GB16FP160.3 est.No0.001
RX 7600 XT 16GB16FP160.3 est.No0.001

Fit checks

12 popular retail GPUs; every row in the table above also links its Fits? verdict to the full fit check.