入门指南排行榜Decode calculator模型OrganizationsReportsMatrix runs硬件基准评测市场租用ProAPI文档
语言
Actual Computer — Every computer, one endpoint

Speed test matrix

Qwen3-8B-AWQ on RTX 3090 24GB

vllm · 0.32.0 · AWQ3 contexts (0–32K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K
by @Sandbergllm-inference-bench v0.8.0Measured Edited

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
AWQ
Backend
cuda
Build
vllm/vllm-openai:v0.32.0-x86_64

Run

Served model
bench
Revision
main
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/Qwen3-8B-AWQ --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 context6,6601,239 ms TTFT
16K context5,6692,884 ms TTFT
32K context4,4347,340 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
0126.725 ms TTFT237.722 ms TTFT436.728 ms TTFT751.742 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K94.863 ms TTFT151.989 ms TTFT260.4132 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
32K75.6131 ms TTFT110.9160 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

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.
PhaseContextRequests at onceStatusTotal tok/sPer request tok/sTTFTTime between tokensAverage active requestsCompleted requestsOutput tokensMeasured for
Prefill8K1Valid6,660.0—1,239 ms——1——
Prefill16K1Valid5,669.0—2,884 ms——1——
Prefill32K1Valid4,434.0—7,340 ms——1——
Sustained decode01Valid126.7128.025 ms7.8 ms1.003,80130.0 s
Sustained decode02Valid237.7120.922 ms8.3 ms2.007,13030.0 s
Sustained decode04Valid436.7112.228 ms8.9 ms4.0013,10030.0 s
Sustained decode08Valid751.798.342 ms10.2 ms8.0022,55330.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid94.895.163 ms10.5 ms1.002,84430.0 s
Sustained decode16K2Valid151.976.389 ms13.1 ms2.004,55830.0 s
Sustained decode16K4Valid260.465.6132 ms15.2 ms4.007,81330.0 s
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid75.675.9131 ms13.2 ms1.002,26930.0 s
Sustained decode32K2Valid110.955.5160 ms18.0 ms2.003,32830.0 s
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————

Over capacity: not run because this many requests at this context would exceed the server's KV cache.