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言語
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Speed test matrix

Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit on RTX 3090 24GB

vllm · 0.32.0 · AWQ 4-bit6 contexts (0–136K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K, 128K
by @Sandbergllm-inference-bench v0.8.0Measured

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 4-bit
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. KV cache: int4_per_token_head
# 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 cyankiwi/Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit --max-model-len 147456 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code --kv-cache-dtype int4_per_token_head --attention-backend TRITON_ATTN

Prefill

prompt tok/s by context length
8K context4,0782,024 ms TTFT
16K context2,5616,383 ms TTFT
32K context1,47422,077 ms TTFT
64K context792.082,001 ms TTFT
128K context409.0317,551 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
0126.644 ms TTFT220.746 ms TTFT382.884 ms TTFT616.988 ms TTFT985.198 ms TTFTOver capacityOver capacityOver capacity
16KLoopedLoopedLoopedOver capacityOver capacityOver capacityOver capacityOver capacity
32K53.6206 ms TTFTLoopedOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
64K33.3414 ms TTFT56.0583 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
128K18.9Requests queued800 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
136K17.9Requests queued838 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

Requests queued: the server could not run all requests at once, so some waited in a queue. 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.
PhaseContextRequests at onceStatusTotal tok/sPer request tok/sTTFTTime between tokensAverage active requestsCompleted requestsOutput tokensMeasured for
Prefill8K1Valid4,078.0—2,024 ms——1——
Prefill16K1Valid2,561.0—6,383 ms——1——
Prefill32K1Valid1,474.0—22,077 ms——1——
Prefill64K1Valid792.0—82,001 ms——1——
Prefill128K1Valid409.0—317,551 ms——1——
Sustained decode01Valid126.6128.844 ms7.8 ms1.003,79730.0 s
Sustained decode02Valid220.7112.546 ms8.9 ms2.006,62230.0 s
Sustained decode04Valid382.897.584 ms10.3 ms4.0011,48430.0 s
Sustained decode08Valid616.979.288 ms12.6 ms8.0018,50430.0 s
Sustained decode016Valid985.163.798 ms15.7 ms16.0029,55230.0 s
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Looped—————00—
Sustained decode16K2Looped—————00—
Sustained decode16K4Looped—————00—
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid53.653.7206 ms18.6 ms1.001,60930.0 s
Sustained decode32K2Looped—————00—
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode64K1Valid33.333.4414 ms30.0 ms1.0099930.0 s
Sustained decode64K2Valid56.028.0583 ms35.8 ms2.001,67830.0 s
Sustained decode64K4Over capacity————————
Sustained decode64K8Over capacity————————
Sustained decode64K16Over capacity————————
Sustained decode64K32Over capacity————————
Sustained decode64K64Over capacity————————
Sustained decode64K128Over capacity————————
Sustained decode128K1Requests queued18.919.0800 ms52.5 ms1.0056630.0 s
Sustained decode128K2Over capacity————————
Sustained decode128K4Over capacity————————
Sustained decode128K8Over capacity————————
Sustained decode128K16Over capacity————————
Sustained decode128K32Over capacity————————
Sustained decode128K64Over capacity————————
Sustained decode128K128Over capacity————————
Sustained decode136K1Requests queued17.918.1838 ms55.4 ms1.0053630.0 s
Sustained decode136K2Over capacity————————
Sustained decode136K4Over capacity————————
Sustained decode136K8Over capacity————————
Sustained decode136K16Over capacity————————
Sustained decode136K32Over capacity————————
Sustained decode136K64Over capacity————————
Sustained decode136K128Over capacity————————

Requests queued: the server could not run all requests at once, so some waited in a queue. 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.