Qwen3.5 35B-A3B hardware requirements

About the model

Parameters
35.95B total · 3B active (MoE)
Attention
Hybrid linear attention
Max context
262,144 tokens
Released
2026-05-01

GGUF files

Tracked quantizations of Qwen3.5 35B-A3B, smallest first
QuantFile sizeQualityPublished by
UD-Q2_K_XL12.57 GBHeavy lossCommunity GGUF · unsloth
IQ4_XS18.17 GBGood balanceCommunity GGUF · unsloth
Q4_K_Mbaseline22.63 GBGood balanceCommunity GGUF · unsloth
Q8_037.80 GBNear-losslessCommunity GGUF · unsloth

Some repositories publish only Unsloth Dynamic (UD) variants; sizes are those of the file you would download.

Memory needed by quant and context

Weights + f16 KV cache + compute buffer, in GB. Add about 0.6 GB if the GPU also drives your display on Windows.
Quant4k8k16k32k64k128k256k
UD-Q2_K_XL13.213.313.614.015.017.020.8
IQ4_XS18.818.919.219.620.622.626.4
Q4_K_M23.323.423.624.125.127.030.9
Q8_038.438.538.839.340.242.246.1

Which GPUs can run Qwen3.5 35B-A3B?

How to read the verdicts

Runs great
Fully on the GPU at 20 tok/s or more
Runs well
Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
Runs slowly
2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
Won't run
Does not fit, or under 2 tok/s

Scroll sideways to see every column.

54 GPUs, Macs and CPU setups at Q4_K_M with 8k context, sorted by verdict and speed
HardwareVerdictSpeedQuantMemoryRuns asContextNotesPrice
GeForce RTX 5090
Runs great
est. 235.0 tok/s188.0–282.0calibrated estimate ±20%
Q4_K_M24.0 / 32.0 GBFull GPUup to 256k—$4,200 street (as of 2026-08-09)
Radeon RX 7900 XTX
Runs great
est. 233.4 tok/s186.7–280.1calibrated estimate ±20%
Q4_K_M24.0 / 24.0 GBFull GPUup to 8k—$999 launch MSRP
GeForce RTX 3090 Ti
Runs great
est. 220.6 tok/s176.5–264.7calibrated estimate ±20%
Q4_K_M24.0 / 24.0 GBFull GPUup to 8k—$1,999 launch MSRP
GeForce RTX 4090
Runs great
est. 220.6 tok/s176.5–264.7calibrated estimate ±20%
Q4_K_M24.0 / 24.0 GBFull GPUup to 8k—$2,755 street (as of 2026-08-09)
GeForce RTX 3090
Runs great
est. 204.8 tok/s163.9–245.8calibrated estimate ±20%
Q4_K_M24.0 / 24.0 GBFull GPUup to 8k—$1,050 street (as of 2026-08-09)
GeForce RTX 5090 Laptop
Runs great
est. 196.1 tok/s156.9–235.3calibrated estimate ±20%
Q4_K_M24.0 / 24.0 GBFull GPUup to 8k——
Apple M3 Ultra · 96 GB
Runs great
est. 115.5 tok/s92.4–138.6calibrated estimate ±20%
Q4_K_M23.4 / 67.2 GBUnified memoryup to 256k——
Apple M2 Ultra · 64 GB
Runs great
est. 112.8 tok/s90.3–135.4calibrated estimate ±20%
Q4_K_M23.4 / 44.8 GBUnified memoryup to 256k——
Apple M5 Max (40-core GPU) · 48 GB
Runs great
est. 89.6 tok/s71.7–107.5calibrated estimate ±20%
Q4_K_M23.4 / 33.6 GBUnified memoryup to 256k——
Apple M4 Max (40-core GPU) · 48 GB
Runs great
est. 79.7 tok/s63.7–95.6calibrated estimate ±20%
Q4_K_M23.4 / 33.6 GBUnified memoryup to 256k——
Apple M5 Max (32-core GPU) · 36 GB
Runs great
est. 67.1 tok/s53.7–80.5calibrated estimate ±20%
Q4_K_M23.4 / 25.2 GBUnified memoryup to 64k——
Ryzen AI Max+ 395 (Strix Halo) · 64 GB
Runs great
est. 66.0 tok/s52.8–79.2calibrated estimate ±20%
Q4_K_M23.4 / 44.8 GBUnified memoryup to 128k—$1,999 launch MSRP
Apple M4 Max (32-core GPU) · 36 GB
Runs great
est. 59.8 tok/s47.9–71.8calibrated estimate ±20%
Q4_K_M23.4 / 25.2 GBUnified memoryup to 64k——
NVIDIA DGX Spark · 128 GB
Runs great
est. 53.1 tok/s42.5–63.7calibrated estimate ±20%
Q4_K_M23.4 / 89.6 GBUnified memoryup to 128k—$3,999 launch MSRP
Apple M5 Pro · 48 GB
Runs great
est. 44.8 tok/s35.8–53.7calibrated estimate ±20%
Q4_K_M23.4 / 33.6 GBUnified memoryup to 128k——
Apple M4 Pro · 48 GB
Runs great
est. 39.8 tok/s31.9–47.8calibrated estimate ±20%
Q4_K_M23.4 / 33.6 GBUnified memoryup to 64k——
Intel Arc B580
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$290 street (as of 2026-08-09)
GeForce GTX 1080 Ti
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 11.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$699 launch MSRP
GeForce RTX 2080 Ti
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 11.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$999 launch MSRP
GeForce RTX 3050 8GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$249 launch MSRP
GeForce RTX 3060 12GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$250 street (as of 2026-08-09)
GeForce RTX 3070
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$499 launch MSRP
GeForce RTX 3080 10GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 10.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$699 launch MSRP
GeForce RTX 3080 12GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$799 launch MSRP
GeForce RTX 4060
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$299 launch MSRP
GeForce RTX 4060 Laptop
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
—
GeForce RTX 4060 Ti 16GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$499 launch MSRP
GeForce RTX 4060 Ti 8GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$399 launch MSRP
GeForce RTX 4070
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$599 launch MSRP
GeForce RTX 4070 Laptop
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
—
GeForce RTX 4070 Super
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$599 launch MSRP
GeForce RTX 4070 Ti Super
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$799 launch MSRP
GeForce RTX 4080
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$1,199 launch MSRP
GeForce RTX 4080 Laptop
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
—
GeForce RTX 4080 Super
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$999 launch MSRP
GeForce RTX 4090 Laptop
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
—
GeForce RTX 5060
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$339 street (as of 2026-08-09)
GeForce RTX 5060 Ti 16GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$569 street (as of 2026-08-09)
GeForce RTX 5060 Ti 8GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 8.0 GB + 21.4 GB RAMMoE experts in RAMup to 128k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$429 street (as of 2026-08-09)
GeForce RTX 5070
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
$629 street (as of 2026-08-09)
GeForce RTX 5070 Ti
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$949 street (as of 2026-08-09)
GeForce RTX 5070 Ti Laptop
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 12.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
—
GeForce RTX 5080
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$1,256 street (as of 2026-08-09)
GeForce RTX 5080 Laptop
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
—
Radeon RX 7800 XT
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$499 launch MSRP
Radeon RX 7900 XT
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 20.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • Try IQ4_XS: Runs great
$899 launch MSRP
Radeon RX 9060 XT 16GB
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$449 street (as of 2026-08-09)
Radeon RX 9070
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$639 street (as of 2026-08-09)
Radeon RX 9070 XT
Runs well
est. 20.4 tok/s14.3–26.5theoretical estimate ±30%
Q4_K_M2.6 / 16.0 GB + 21.4 GB RAMMoE experts in RAMup to 256k
  • Not fully on the GPU — Runs great needs the whole model in GPU memory
  • UD-Q2_K_XL (heavy quality loss): Runs great
$689 street (as of 2026-08-09)
Apple M5 · 32 GB
Runs slowly
est. 22.4 tok/s15.7–29.1theoretical estimate ±30%
Q4_K_M22.8 GB RAMCPU onlyup to 256k
  • CPU inference — capped at Runs slowly
  • Try IQ4_XS: Runs great
—
DDR5-6000 dual-channel CPU · 32 GB
Runs slowly
est. 20.1 tok/s16.1–24.1calibrated estimate ±20%
Q4_K_M22.8 GB RAMCPU onlyup to 256k
  • CPU inference — capped at Runs slowly
—
DDR5-5600 dual-channel CPU · 32 GB
Runs slowly
est. 18.7 tok/s15.0–22.5calibrated estimate ±20%
Q4_K_M22.8 GB RAMCPU onlyup to 256k
  • CPU inference — capped at Runs slowly
—
Apple M4 · 32 GB
Runs slowly
est. 17.5 tok/s12.3–22.8theoretical estimate ±30%
Q4_K_M22.8 GB RAMCPU onlyup to 256k
  • CPU inference — capped at Runs slowly
  • Try IQ4_XS: Runs great
—
DDR4-3200 dual-channel CPU · 32 GB
Runs slowly
est. 10.7 tok/s8.6–12.8calibrated estimate ±20%
Q4_K_M22.8 GB RAMCPU onlyup to 256k
  • CPU inference — capped at Runs slowly
—

Cheapest GPUs that run it

  • Runs greatGeForce RTX 3090$1,050 street (as of 2026-08-09), est. 204.8 tok/s (163.9–245.8, calibrated estimate ±20%).
  • Runs wellGeForce RTX 3060 12GB$250 street (as of 2026-08-09), est. 20.4 tok/s (14.3–26.5, theoretical estimate ±30%).

Measured results for Qwen3.5 35B-A3B

No public measurements for this model yet.

Frequently asked questions

How much VRAM does Qwen3.5 35B-A3B need?

At Q4_K_M the weights are 22.63 GB; with 8k context the total is about 23.4 GB (KV cache 0.2 GB, compute buffer 0.6 GB). The smallest tracked file (UD-Q2_K_XL (heavy quality loss)) needs about 13.3 GB.

What is the cheapest GPU that runs Qwen3.5 35B-A3B well?

Cheapest that runs it great: GeForce RTX 3090 at $1,050 (street price as of 2026-08-09), est. 204.8 tok/s (163.9–245.8, calibrated estimate ±20%). Cheaper and still Runs well: GeForce RTX 3060 12GB at $250 (street price as of 2026-08-09), est. 20.4 tok/s (14.3–26.5, theoretical estimate ±30%).

Can Qwen3.5 35B-A3B run on an 8 GB, 16 GB or 24 GB GPU?

At Q4_K_M with 8k context: GeForce RTX 4060 — Runs well, est. 20.4 tok/s (14.3–26.5, theoretical estimate ±30%); GeForce RTX 5060 Ti 16GB — Runs well, est. 20.4 tok/s (14.3–26.5, theoretical estimate ±30%); GeForce RTX 3090 — Runs great, est. 204.8 tok/s (163.9–245.8, calibrated estimate ±20%).

Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.