Speed test matrix

Qwen3-1.7B-FP8 on RTX 3090 24GB

vllm · 0.32.0 · FP83 contexts (0–32K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K

by @Sandbergllm-inference-bench v0.8.0Measured Oct 30, 2026, 10:08 UTC

Hardware

Type: Discrete GPU
GPU: RTX 3090
VRAM: 24 GB
CPU: Intel Core i7-9700K (8C)
RAM: 32 GB
OS: Ubuntu 24.04.5

Engine

Engine: vllm
Version: 0.32.0
Quantization: FP8
Backend: cuda
Repository: github.com/vllm-project/vllm
Build: vllm/vllm-openai:v0.32.0-x86_64

Run

Served model: bench
Revision: main
Benchmark tool: llm-inference-bench v0.8.0
Decode test: Fixed duration
Prefill mode: Measured during decode warm-up
Time per measurement: 30 s
Max output: 8,192 tokens

Launch command

# Untuned out-of-the-box baseline. Spec decode: none
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 420 W limit, PCIe Gen3 x16 | Intel Core i7-9700K 8C | 32 GB DDR4 | Ubuntu 24.04.5, NVIDIA driver 580.178.04
vllm serve Qwen/Qwen3-1.7B-FP8 --max-model-len 40960 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code

Prefill

prompt tok/s by context length

8K context21.8K378 ms TTFT

16K context17.8K919 ms TTFT

32K context13.5K2,404 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests

Context	1	2	4	8	16	32	64	128
0	229.014 ms TTFT	Looped	684.925 ms TTFT	Looped	Looped	Over capacity	Over capacity	Over capacity
16K	160.260 ms TTFT	Looped	396.7127 ms TTFT	Over capacity	Over capacity	Over capacity	Over capacity	Over capacity
32K	120.9116 ms TTFT	165.4142 ms TTFT	259.2208 ms TTFT	Over capacity	Over capacity	Over capacity	Over capacity	Over capacity

Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.

TTFT is measured after the benchmark warms the server's prompt cache, so it mostly excludes prefill.

All measurements

Latencies are medians. Total tok/s is output across all simultaneous requests.

Phase	Context	Requests at once	Status	Total tok/s	Per request tok/s	TTFT	Time between tokens	Average active requests	Completed requests	Output tokens	Measured for
Prefill	8K	1	Valid	21.8K	—	378 ms	—	—	1	—	—
Prefill	16K	1	Valid	17.8K	—	919 ms	—	—	1	—	—
Prefill	32K	1	Valid	13.5K	—	2,404 ms	—	—	1	—	—
Sustained decode	0	1	Valid	229.0	251.8	14 ms	4.0 ms	1.0	1	6,870	30.0 s
Sustained decode	0	2	Looped	—	—	—	—	—	0	0	—
Sustained decode	0	4	Valid	684.9	181.4	25 ms	5.5 ms	4.0	0	20,548	30.0 s
Sustained decode	0	8	Looped	—	—	—	—	—	0	0	—
Sustained decode	0	16	Looped	—	—	—	—	—	0	0	—
Sustained decode	0	32	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	0	64	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	0	128	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	16K	1	Valid	160.2	161.2	60 ms	6.2 ms	1.0	0	4,807	30.0 s
Sustained decode	16K	2	Looped	—	—	—	—	—	0	0	—
Sustained decode	16K	4	Valid	396.7	100.2	127 ms	10.0 ms	4.0	0	11,900	30.0 s
Sustained decode	16K	8	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	16K	16	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	16K	32	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	16K	64	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	16K	128	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	32K	1	Valid	120.9	121.4	116 ms	8.2 ms	1.0	0	3,626	30.0 s
Sustained decode	32K	2	Valid	165.4	83.1	142 ms	12.0 ms	2.0	0	4,961	30.0 s
Sustained decode	32K	4	Valid	259.2	65.0	208 ms	15.4 ms	4.0	0	7,776	30.0 s
Sustained decode	32K	8	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	32K	16	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	32K	32	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	32K	64	Over capacity	—	—	—	—	—	—	—	—
Sustained decode	32K	128	Over capacity	—	—	—	—	—	—	—	—

Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.