Configs › Qwen3-Coder 30B-A3B › Qwen3-Coder 30B-A3B on Strix Halo: 98 tok/s, 4 measured configs
Qwen3-Coder 30B-A3B on Strix Halo: 98 tok/s, 4 measured configs
Measured Qwen3-Coder 30B-A3B speeds on Strix Halo: fastest 98 tok/s single-stream (Q4_K_S, llama.cpp/vulkan), 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 Qwen3-Coder 30B-A3B on Strix Halo: 98 tok/s (Q4_K_S, llama.cpp/vulkan), snapshot 2026-10-29.
Every measured single-stream run of Qwen3-Coder 30B-A3B on Strix Halo
| Decode tok/s | Quant | Backend | Context | Trust | Measured by | Source checked | Source |
|---|---|---|---|---|---|---|---|
| 98 | Q4_K_S | llama.cpp/vulkan | 512 | Structured table | hogeheer | 2026-10-29 | source |
| 97.1 | UD-Q4_K_XL | llama.cpp/vulkan | 512 | Structured table | hogeheer | 2026-10-29 | source |
| 90.4 | IQ4_XS | llama.cpp/vulkan | 512 | Structured table | hogeheer | 2026-10-29 | source |
| 73.7 | UD-Q4_K_XL | llama.cpp/rocm | 512 | Structured table | hogeheer | 2026-10-29 | source |
Best quant on Strix Halo
Fastest plain-decoding run per quant, versus the fastest quant.
- Q4_K_S: 98 tok/s, fastest (llama.cpp/vulkan)
- UD-Q4_K_XL: 97.1 tok/s, 1% lower (llama.cpp/vulkan)
- IQ4_XS: 90.4 tok/s, 8% lower (llama.cpp/vulkan)
Backends on Strix Halo
Fastest plain-decoding run per backend. Quants can differ between rows.
- llama.cpp/vulkan: 98 tok/s (Q4_K_S)
- llama.cpp/rocm: 73.7 tok/s (UD-Q4_K_XL)
Questions and answers
- How fast is Qwen3-Coder 30B-A3B on Strix Halo?
- The fastest of 4 measured configs is 98 tok/s single-stream (Q4_K_S, llama.cpp/vulkan). The slowest is 73.7 tok/s.
- Which quant of Qwen3-Coder 30B-A3B is fastest on Strix Halo?
- Q4_K_S at 98 tok/s, ahead of UD-Q4_K_XL at 97.1, IQ4_XS at 90.4. Plain decoding only.
- Which backend is fastest for Qwen3-Coder 30B-A3B on Strix Halo?
- llama.cpp/vulkan at 98 tok/s, then llama.cpp/rocm at 73.7. Each backend figure is its best plain-decoding row and may use a different quant.
See also: Qwen3-Coder 30B-A3B on every box · Strix Halo hardware page (from S$4,329 in Singapore today).
Last updated: snapshot 2026-10-29; newest source check 2026-10-29.
More: all configs · hardware · news · contributors · methodology · llms.txt · llms-full.txt · API (OpenAPI) · JSON snapshot. Built by Altronis, private on-prem AI, Singapore.