Configs › llm-jp-4.1-32b-a3b-thinking › llm-jp-4.1-32b-a3b-thinking on Strix Halo: 81 tok/s, 4 measured configs

llm-jp-4.1-32b-a3b-thinking on Strix Halo: 81 tok/s, 4 measured configs

Measured llm-jp-4.1-32b-a3b-thinking speeds on Strix Halo: fastest 81 tok/s single-stream (Q4_K_M, llama.cpp/vulkan (depth-0)), 4 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 llm-jp-4.1-32b-a3b-thinking on Strix Halo: 81 tok/s (Q4_K_M, llama.cpp/vulkan (depth-0)), snapshot 2026-10-29.

Every measured single-stream run of llm-jp-4.1-32b-a3b-thinking on Strix Halo

Decode tok/sQuantBackendContextTrustMeasured bySource checkedSource
81Q4_K_Mllama.cpp/vulkan (depth-0)Verified (ran it)sypherin2026-10-29source
73.6Q4_K_Mllama.cpp/rocm (depth-0)Verified (ran it)sypherin2026-10-29source
72.6Q4_K_Mllama.cpp/vulkan (depth-4096)4096Verified (ran it)sypherin2026-10-29source
64.8Q4_K_Mllama.cpp/rocm (depth-4096)4096Verified (ran it)sypherin2026-10-29source

Backends on Strix Halo

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

Questions and answers

How fast is llm-jp-4.1-32b-a3b-thinking on Strix Halo?
The fastest of 4 measured configs is 81 tok/s single-stream (Q4_K_M, llama.cpp/vulkan (depth-0)). The slowest is 64.8 tok/s.
Which backend is fastest for llm-jp-4.1-32b-a3b-thinking on Strix Halo?
llama.cpp/vulkan at 81 tok/s, then llama.cpp/rocm at 73.6. Each backend figure is its best plain-decoding row and may use a different quant.

See also: llm-jp-4.1-32b-a3b-thinking on every box · Strix Halo hardware page (from S$4,329 in Singapore today).

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

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