Qwen3 VL 30B A3B Instruct vs YOLO World
Compare Qwen3 VL 30B A3B Instruct and YOLO World side-by-side.
Compare Qwen3 VL 30B A3B Instruct vs YOLO World live
Run the same image across every model that supports a task and compare their outputs side-by-side.
These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.
Models in this comparison
Qwen3 VL 30B A3B Instruct vs YOLO World Comparison Table
Evals updated July 10, 2026Pricing updated July 16, 2026
| Property | Qwen3 VL 30B A3B Instruct | YOLO World |
|---|---|---|
| Organization | Qwen | Tencent AI Lab |
| Category | open | open |
| Modality | multimodal | multimodal |
| Release Date | Oct 2025 | Feb 2024 |
| Context Window | 262K | 13.0M |
| Parameters | 31B | |
| License | Apache 2.0 | GPL v3 |
| Pricing per 1M tokens | ||
| Input $/1M | $0.130 | |
| Output $/1M | $0.520 | |
| Vision Tasks | ||
| Object Detection | Demo | |
| Captioning | Demo | |
| OCR | Demo | |
| Open Vocabulary Object Detection | ||
| Phrase Grounding | ||
| Vision Language | ||
| Visual Question Answering | Demo | |
| Model Features | ||
| Multimodal Vision | ||
| LLMs with Vision Capabilities | ||
| Real-Time Vision | ||
| Zero-shot Detection | ||
Qwen3 VL 30B A3B Instruct vs YOLO World: Overview
Qwen3 VL 30B A3B Instruct is an open-weight multimodal large language model developed by Alibaba as part of the Qwen family, built for instruction-following tasks that unify text generation with visual and video understanding. Released around October 2025 under the Apache-2.0 license, it targets efficient, high-fidelity vision-language reasoning across very long contexts.
The model accepts text and image inputs and produces text outputs, with strong performance in OCR, spatial reasoning, long-video understanding, and agentic or GUI-centric visual tasks. It uses a Mixture-of-Experts (A3B) design with ~31.1B total parameters and ~3B active per token, paired with Qwen3-VL’s unified multimodal stack (including Interleaved-MRoPE and DeepStack fusion) to process text, images, and video in a single architecture. OCR support expands to 32 languages, enhancing document workflows. With a native ~262K token context window (extendable further), it stands out today for its balance of scale, efficiency, long-context support, and open accessibility in multimodal systems.
YOLO-World v2 Small (YOLO-World-S-v2) is the smallest variant of Tencent AI Lab’s YOLO-World v2 family, released around February 2024 under GPL-v3. With ~13 million parameters, it adopts a prompt-then-detect paradigm using offline vocabularies and is pretrained on large-scale datasets such as Objects365 and GoldG. The model processes image inputs at 640×640 or 1280×1280 resolutions and supports zero-shot open-vocabulary object detection, enabling recognition of novel categories from text prompts without retraining.
Evaluations show competitive results across benchmarks like LVIS and COCO, while maintaining real-time efficiency. On an NVIDIA V100, the small variant reaches ~74 FPS at standard resolutions. Together with larger YOLO-World v2 models, it provides a scalable framework for efficient, open-vocabulary detection across diverse deployment settings.