# Qwen3.6-35B-A3B Q4_K_M on Ryzen AI Max+ 395 (llama.cpp Vulkan) — answerless (empty) responses at a 1k budget: 58.3 % of requests

On a Beelink GTR9 Pro — AMD Ryzen AI Max+ 395, Radeon 8060S (gfx1151), 128 GB LPDDR5X-8000 unified running llama.cpp (server, Vulkan backend), b9049 (server_fingerprint b9049-2496f9c14) with ggml-org/Qwen3.6-35B-A3B-GGUF @ baec3ebee244 (Q4_K_M), the measured answerless (empty) responses at a 1k budget was 58.3 % of requests (share of all issued requests). The measurement was taken under the frozen interactive-assistant-v2@2026-08-02 workload; evidence level lab_unit_replicated, 6 valid runs across 2 physical units. The value is re-derived from the raw run records on every CI build.

## Statement

> At a 1024-token budget with reasoning enabled, this share of everyday-task requests returned HTTP 200 with an empty answer: the reasoning pass consumed the entire budget.

## Evidence

| Field | Value |
| --- | --- |
| Claim id | `strix.qwen36.interactive2.c1.answerless-1k` |
| Value | 58.3 % of requests |
| Metric | answerless (empty) responses at a 1k budget |
| Aggregation | share of all issued requests |
| System | Beelink GTR9 Pro — AMD Ryzen AI Max+ 395, Radeon 8060S (gfx1151), 128 GB LPDDR5X-8000 unified |
| Runtime | llama.cpp (server, Vulkan backend), b9049 (server_fingerprint b9049-2496f9c14) |
| Model artifact | ggml-org/Qwen3.6-35B-A3B-GGUF @ baec3ebee244 (Q4_K_M) |
| Workload scope | interactive-assistant-v2@2026-08-02 |
| Evidence level | lab_unit_replicated |
| Status | active |
| Runs | 6 across 2 unit(s) |
| Published | 2026-08-03 |
| Last changed | 2026-08-03 |

**Limitations.** Three runs of 16 requests each (48 total) across two commercially identical units — repeated, not unit-replicated. Specific to a 1024-token budget and this corpus. Failed requests are counted in the denominator, as required.

## Raw evidence

- Sealed run bundle `run-20260802-v2-budget1k-a`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260802-v2-budget1k-a
- Sealed run bundle `run-20260802-v2-budget1k-a-r2`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260802-v2-budget1k-a-r2
- Sealed run bundle `run-20260802-v2-budget1k-a-r3`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260802-v2-budget1k-a-r3
- Sealed run bundle `run-20260803-v2-budget1k-b`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260803-v2-budget1k-b
- Sealed run bundle `run-20260803-v2-budget1k-b-r2`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260803-v2-budget1k-b-r2
- Sealed run bundle `run-20260803-v2-budget1k-b-r3`: https://github.com/botAGI/agmind-lab/tree/main/runs/run-20260803-v2-budget1k-b-r3
- Derivation query: https://github.com/botAGI/agmind-lab/blob/main/catalog/claims/sql/answerless-rate-1k.sql
- Machine-readable: https://agmind.ai/claims/strix.qwen36.interactive2.c1.answerless-1k.json · full registry https://agmind.ai/claims.json

## Cited on

- https://agmind.ai/reports/how-many-tokens-per-second-is-enough/
- https://agmind.ai/reports/answerless-http-200/
- https://agmind.ai/tested-configurations/strix-halo-qwen36-llamacpp-vulkan-interactive/
- https://agmind.ai/compare/gemma4-vs-qwen36-answerless/
- https://agmind.ai/measured/qwen3-6-35b-a3b-q4-k-m-on-ryzen-ai-max-395/

## Cite this

AGmind Systems Lab. Qwen3.6-35B-A3B Q4_K_M on Ryzen AI Max+ 395 (llama.cpp Vulkan): answerless (empty) responses at a 1k budget — 58.3 % of requests (share of all issued requests; 6 runs on 2 units; evidence level lab_unit_replicated; workload interactive-assistant-v2@2026-08-02). Claim strix.qwen36.interactive2.c1.answerless-1k. https://agmind.ai/claims/strix.qwen36.interactive2.c1.answerless-1k/

Registry changes feed: https://agmind.ai/claims/changes.xml · Corrections to published results: https://agmind.ai/errata/ · Data licensed CC BY 4.0.
Source page: https://agmind.ai/claims/strix.qwen36.interactive2.c1.answerless-1k/