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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Qwen3-VL 30B A3B Instruct

AlibabaAlibaba

Qwen3-VL 30B A3B Instruct

Frontier
huggingfaceHuggingFace
2.9MDownloads552LikesSep 2025Released256K tokensContextApache 2.0License5 EntryQuality

Get started

— copy & paste to run locally
HuggingFace
huggingface-cli download qwen-3-vl-30b-a3b

Quick specs

Parameters30B (3B active)
Architecturemoe (MoE)
Context256K tokens
Modalitytext+vision
Min RAM11.7 GB
Rec. RAM18.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen VL
✓ Reasoning

About this model

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

  • •Visual Agent: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks
  • •Visual Coding Boost: Generates Draw.io/HTML/CSS/JS from images/videos
  • •Advanced Spatial Perception: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for...
  • •Long Context & Video Understanding: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level...
  • •Enhanced Multimodal Reasoning: Excels in STEM/Math—causal analysis and logical, evidence-based answers

Your hardware

Detecting...

Quick picks

Apple
Best budgetC
Mac mini M4 64GB~$1,099 — 12 tok/s
NVIDIA
Best overallB
RTX 5090 32GB~$1,999 — 173 tok/s

Best hardware

Top picks for Qwen3-VL 30B A3B Instruct

AMD
AMD Instinct MI100 32GBB
32 GB
NVIDIA
RTX 5090 32GBB
32 GB
NVIDIA
RTX PRO 4500 Blackwell 32GBB
32 GB
NVIDIA
NVIDIA V100 32GBB
32 GB
AMD
AMD Instinct MI60 32GBB
32 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
11.7 GB
Low—
Q3_K_S
3
14.7 GB
Low—
NVFP4
4
16.8 GB
Medium—
Q4_K_M
4
18.3 GB
Medium—
Q5_K_M
5
21.6 GB
High—
Q6_K
6
24.6 GB
High—
Q8_0
8
32.1 GB
Very High—
F16
16
61.5 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights18.3 GB
KV Cache0.8 GB
Runtime1.4 GB
Headroom2.4 GB