FitMyLLM
Alibaba/Dense

AlibabaQwen3-VL 32B Instruct

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

chatvisionmultilingualreasoning
33.36B
Parameters
256K
Context length
22
Benchmarks
14
Quantizations
0
Architecture
Dense
Released
2025-10-15
Layers
64
KV Heads
8
Head Dim
128
Family
qwen

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ3_XXS3.25
17.0 GB
14.0 + 3.0 KV
low
IQ3_XS3.5
18.1 GB
15.1 + 3.0 KV
low
Q3_K_S3.64
18.7 GB
15.7 + 3.0 KV
low
IQ3_M3.76
19.2 GB
16.2 + 3.0 KV
low
Q3_K_M4
20.2 GB
17.2 + 3.0 KV
low
Q3_K_L4.3
21.4 GB
18.4 + 3.0 KV
moderate
IQ4_XS4.46
22.1 GB
19.1 + 3.0 KV
moderate
Q4_K_S4.67
23.0 GB
20.0 + 3.0 KV
moderate
Q4_K_M4.89
23.9 GB
20.9 + 3.0 KV
good
Q5_K_S5.57
26.7 GB
23.7 + 3.0 KV
good
Q5_K_M5.7
27.3 GB
24.3 + 3.0 KV
good
Q6_K6.56
30.8 GB
27.8 + 3.0 KV
excellent
Q8_08.5
38.9 GB
35.9 + 3.0 KV
lossless
FP1616
70.2 GB
67.2 + 3.0 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN QWEN3-VL 32B INSTRUCT NOW

Rent on Vast.ai →Or RunPod →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (22)

HumanEval87.2
IFEval78.9
MBPP77.0
AIME68.3
AA Math68.3
MATH-50068.3
GPQA Diamond67.1
MATH59.7
BBH58.3
MMLU-PRO52.9
LiveCodeBench51.4
IFBench39.2
BigCodeBench32.3
AA Long Context31.3
SciCode30.1
τ²-Bench29.2
MUSR19.1
AA Intelligence17.2
AA Coding15.6
GPQA15.2
Terminal-Bench8.3
HLE6.3

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen3-vl:32b-instruct-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA Quadro RTX 6000
24 GB VRAM • 672 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro RTX 6000 Passive
24 GB VRAM • 624 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 3090 Ti
24 GB VRAM • 1010 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000
AMD Radeon RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090 D
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 5090 D V2
24 GB VRAM • 1340 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA TITAN RTX
24 GB VRAM • 672 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A30 PCIe
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A30X
24 GB VRAM • 1220 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA PG506-207
24 GB VRAM • 933 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for Qwen3-VL 32B Instruct

Build Hardware for Qwen3-VL 32B Instruct
▸ SPEC SHEET

Qwen3-VL 32B Instruct — 33.36B Dense.

▸ SPECIFICATIONS
PARAMETERS
33.36B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat, vision, multilingual, reasoning
RELEASE DATE
2025-10-15
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.0 GB82%
IQ3_XS3.515.1 GB84%
Q3_K_S3.6415.7 GB85%
IQ3_M3.7616.2 GB86%
Q3_K_M417.2 GB88%
Q3_K_L4.318.4 GB90%
IQ4_XS4.4619.1 GB92%
Q4_K_S4.6720.0 GB93%
Q4_K_M4.8920.9 GB94%
Q5_K_S5.5723.7 GB96%
Q5_K_M5.724.3 GB96%
Q6_K6.5627.8 GB97%
Q8_08.535.9 GB100%
FP161667.2 GB100%
§ 01BENCHMARK SCORES
HumanEval87.2
MMLU-PRO52.9
MATH59.7
IFEval78.9
BBH58.3
GPQA15.2
MUSR19.1
MBPP77.0
BigCodeBench32.3
GPQA Diamond67.1
LiveCodeBench51.4
AIME68.3
HLE6.3
AA Intelligence17.2
AA Coding15.6
AA Math68.3
aa_ifbench39.2
aa_terminal_bench8.3
aa_tau229.2
aa_scicode30.1
aa_lcr31.3
MATH-50068.3
§ 02RUN COMMAND

Run Qwen3-VL 32B Instruct locally with Ollama — needs 20.9 GB VRAM at Q4_K_M:

$ollama run qwen3-vl:32b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 4090
24 GB · 1008 GB/s
NVIDIA RTX 3090 Ti
24 GB · 1008 GB/s
NVIDIA RTX 3090
24 GB · 936 GB/s
AMD RX 7900 XTX
24 GB · 960 GB/s
Apple M4 Pro (24GB)
24 GB · 273 GB/s
NVIDIA L4 24GB
24 GB · 300 GB/s
NVIDIA A10 24GB
24 GB · 600 GB/s
Apple M2 (24GB)
24 GB · 100 GB/s
Apple M3 (24GB)
24 GB · 100 GB/s
Apple M4 (24GB)
24 GB · 120 GB/s
NVIDIA Tesla M40 24 GB
24 GB · 288 GB/s
NVIDIA Tesla P10
24 GB · 694 GB/s
NVIDIA Tesla P40
24 GB · 347 GB/s
NVIDIA Quadro RTX 6000
24 GB · 672 GB/s
NVIDIA Quadro RTX 6000 Passive
24 GB · 624 GB/s