Configs › Qwen3.5-35B-A3B › Qwen3.5-35B-A3B on Strix Halo: 75.2 tok/s, 3 measured configs

Qwen3.5-35B-A3B on Strix Halo: 75.2 tok/s, 3 measured configs

Measured Qwen3.5-35B-A3B speeds on Strix Halo: fastest 75.2 tok/s single-stream (IQ4_XS, llama.cpp/vulkan), 3 configs with quant, backend and context, each linked to its source, snapshot 2026-10-29.

Snapshot 2026-10-29 · 413 configs on AI boxes and 288 on GPU cards · 121 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.

Fastest measured single-stream run of Qwen3.5-35B-A3B on Strix Halo: 75.2 tok/s (IQ4_XS, llama.cpp/vulkan), snapshot 2026-10-29.

Every measured single-stream run of Qwen3.5-35B-A3B on Strix Halo

Decode tok/sQuantBackendContextTrustMeasured bySource checkedSource
75.2IQ4_XSllama.cpp/vulkan512Structured tablehogeheer2026-10-14source
64.9Q4_K_Mllama.cpp/vulkan512Structured tablehogeheer2026-10-14source
54.7Q4_K_Mllama.cpp/rocm512Structured tablehogeheer2026-10-14source

Best quant on Strix Halo

Fastest plain-decoding run per quant, versus the fastest quant.

Backends on Strix Halo

Fastest plain-decoding run per backend. Quants can differ between rows.

Qwen3.5-35B-A3B on other boxes

Questions and answers

How fast is Qwen3.5-35B-A3B on Strix Halo?
The fastest of 3 measured configs is 75.2 tok/s single-stream (IQ4_XS, llama.cpp/vulkan). The slowest is 54.7 tok/s.
Which quant of Qwen3.5-35B-A3B is fastest on Strix Halo?
IQ4_XS at 75.2 tok/s, ahead of Q4_K_M at 64.9. Plain decoding only.
Which backend is fastest for Qwen3.5-35B-A3B on Strix Halo?
llama.cpp/vulkan at 75.2 tok/s, then llama.cpp/rocm at 54.7. Each backend figure is its best plain-decoding row and may use a different quant.
How does Strix Halo compare with other boxes for Qwen3.5-35B-A3B?
Strix Halo best 75.2 tok/s. Other boxes, best measured: DGX Spark 131. Backends and quants differ, so this is the best known number per box, not a controlled test.

See also: Qwen3.5-35B-A3B on every box · Strix Halo hardware page (from S$4,329 in Singapore today).

Last updated: snapshot 2026-10-29; newest source check 2026-10-14.

More: all configs · hardware · news · contributors · methodology · llms.txt · llms-full.txt · API (OpenAPI) · JSON snapshot. Built by Altronis, private on-prem AI, Singapore.