Model
Model explorer
Qwen-VL
OPENAlibaba · Qwen-VL family · released Aug 24, 2023
First Qwen VLM (ViT-bigG + Qwen-7B, 9.6B total); accepts image/text/bounding-box input and can output bounding boxes for grounding.
ReasoningCodingVisionFunction callingTool useAgentic
343.4
Elo · unrated
Parameters
9.6B
Active params
9.6B (dense)
Context
8K tokens
Architecture
OpenCLIP ViT-bigG vision encoder + Qwen-7B decoder, single-layer cross-attention position-aware adapter
License
Tongyi Qianwen LICENSE AGREEMENT (custom, free for research and commercial use)
Languages
—
API price (in/out)
No hosted API
Modalities
text · vision
Benchmark results
Bar shows position within the tracked field; marker = field best
best: Molmo 72B · 96.3%
best: MiniMax-VL-01 · 91.7%
best: Qwen2-VL-72B · 96.5%
best: CogVLM-17B · 94.9
best: QVQ-72B-Preview · 63.9%
best: CogVLM-17B · 64.8%
best: DeepSeek-VL2 · 91.2%
best: Qwen3.5-Omni-Plus · 95.0%
best: NAVER HyperCLOVA X SEED Think 32B · 77.9%
best: Molmo 2 8B · 85.7%
best: Reka Edge (2026) · 88.4%
Run it locally
VRAM @ Q4
6 GB
VRAM @ FP16
19 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GPTQ Int4
Resources
API price weights · each benchmark row carries its own source badge (see methodology)