standard-v1 on the idle server: ~2,900 prompt tok/s at 16K, decode ~110-131. --adapt-async 1 neutral, --pipeline-windows 2 slower decode, --prefill auto:32768 22% slower prompt at 16K. Setup defaults kept and the original config restored. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
standard benchmark: NVIDIA GeForce RTX 3090
Protocol strata-qwen38-thinking-v1-draft.1 (draft), run 20261027T000709Z-53bbc5d8, started 2026-10-27T00:07:09Z. Status: nonconforming.
Written by <user> bench run. The machine-readable result is results.json; every request, its raw usage and timings and the client event offsets are in outputs.jsonl.
This run is not a complete standard result:
- no model file could be hashed
Hardware and software
- GPU: NVIDIA GeForce RTX 3090 (24.0 GiB dedicated)
- CPU: Intel(R) Core(TM) i9-14900KS; RAM: 110.0 GiB
- Storage of the model files: not measured
- OS: NixOS 26.05 (Yarara) 6.18.55; drivers: gpu-driver 595.71.05; runtime: cuda 13.2
- commit:
4b9e05a2a806a3fe24f7b2560d98626c37dade35; engine 0.1.51; source build - Background work: not measured
Model and configuration
- Model: qwen3.8-flash-next-iq3_s; quantization IQ3_S; revision not measured; source revision not measured
- Files: not measured
- Track: custom (arm combined: ["--adapt-async","1","--pipeline-windows","2","--prefill","auto:32768"])
- Context 131072 tokens; server capacity 1 slot(s)
- Sampling: temperature 1.0, top_p 0.95, top_k 20, min_p 0.0, presence_penalty 0.0, repetition_penalty 1.0, reasoning_effort xhigh; thinking on, preserved
- Engine options:
config.json; chat template:provenance/chat_template.jinja
Method
The frozen requests of bench/prompts/standard-v1 (corpus e75eff8b9feea04f...) were sent over loopback HTTP, streaming, one at a time, in this order: 1 warm-up (excluded), 3 repetitions of the short, 4K and 16K prompts, and the twelve sanity checks. Prompt and decode speed are the engine's own timings; time to first token is the client's monotonic clock from dispatch to the first nonempty reasoning, answer or tool-call delta. No request was retried. Time after the model loaded: 1 min 42 s.
Results
| Case | Prompt tok/s | Decode tok/s | TTFT s | First answer s | Total s | Capped |
|---|---|---|---|---|---|---|
| short | n/a | 121.1 (107.1-121.8) n=3 | 0.48 (0.39-0.49) n=3 | 1.43 (1.27-1.57) n=3 | 3.9 (3.1-4.0) n=3 | 0/3 |
| prompt-4k | 1699.4 (1541.2-1740.4) n=3 | 121.7 (95.1-125.9) n=3 | 2.43 (2.37-2.67) n=3 | 4.20 (4.12-6.68) n=3 | 6.4 (5.9-8.0) n=3 | 2/3 |
| prompt-16k | 2242.5 (2163.6-2259.4) n=3 | 113.4 (101.7-116.8) n=3 | 7.34 (7.28-7.60) n=3 | 10.75 (10.70-10.81) n=2 | 11.8 (11.7-12.6) n=3 | 3/3 |
Cells are median (min-max) n=samples. Short is a prompt of about 80 tokens: its prompt rate is dominated by the fixed cost of a request, so it is not shown; read prompt speed from prompt-4k and prompt-16k. Capped = requests that reached the 512-token cap, reasoning and answer together. A capped request's total time is the time to the cap, not to an answer, and it has no first-answer time when it was still reasoning.
| Phase | Planned | Completed | Truncated | Failed | Skipped |
|---|---|---|---|---|---|
| warmup | 1 | 0 | 1 | 0 | 0 |
| performance | 9 | 4 | 5 | 0 | 0 |
| sanity | 12 | 12 | 0 | 0 | 0 |
| concurrency | 0 | 0 | 0 | 0 | 0 |
Sanity checks: 12 of 12.
| Case | Result | Reason |
|---|---|---|
| I1 | pass | the expected JSON value |
| I2 | pass | the expected JSON value |
| I3 | pass | the expected JSON value |
| I4 | pass | the exact expected text |
| R1 | pass | the exact expected text |
| R2 | pass | the exact expected text |
| R3 | pass | the exact expected text |
| R4 | pass | the expected JSON value |
| T1 | pass | the expected tool call |
| T2 | pass | the expected tool call |
| T3 | pass | the expected tool call |
| T4 | pass | the expected tool call |
Failures, exclusions and limitations
- No request failed.
- Excluded from speed summaries: performance-prompt-16k-r1: first_answer_s is not available for this request
- Prompt-prefix reuse is the shared template prefix only; the cache was not emptied between requests, and the expert cache stays warm and evolves. These are not cold-model measurements.
- Output caps include reasoning; a request that reaches its cap is
truncatedand fails its sanity check. - The runner cannot see other programs on the machine, the repeat-stop and loop-recovery switches of the server, or the quantization repository's revision; see
missingin results.json for every value it could not read. - The server had answered no request before this run (a freshly loaded engine).