Qwen3 VL 235B A22B Instruct vs YOLO World
Compare Qwen3 VL 235B A22B Instruct and YOLO World side-by-side.
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Qwen3 VL 235B A22B Instruct vs YOLO World Comparison Table
Evals updated July 10, 2026Pricing updated July 16, 2026
| Property | Qwen3 VL 235B A22B Instruct | YOLO World |
|---|---|---|
| Organization | Qwen | Tencent AI Lab |
| Category | open | open |
| Modality | multimodal | multimodal |
| Release Date | Sep 2025 | Feb 2024 |
| Context Window | 256K | 13.0M |
| Parameters | 235B | |
| License | Apache 2.0 | GPL v3 |
| Pricing per 1M tokens | ||
| Input $/1M | $0.210 | |
| Output $/1M | $1.90 | |
| 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 | ||
Vision Evalsground-truth scores across 6 vision tasks | ||
| Overall | 66.4% | Not evaluated |
| Object Detection | 42.3% | – |
| Counting | 47.3% | – |
| Identification | 90.6% | – |
| OCR | 88.1% | – |
| Data Extraction | 86.6% | – |
| Reasoning | 43.5% | – |
| Avg cost / sample | $0.0007 | – |
| Avg speed / sample | 8.2s | – |
Qwen3 VL 235B A22B Instruct vs YOLO World: Overview
Qwen3 VL 235B A22B Instruct is a flagship multimodal vision-language model developed by Qwen (Alibaba Cloud), designed for instruction-following tasks that combine advanced text generation with visual understanding. It serves as a high-end open-weight model for developers and researchers building multimodal AI systems that require strong reasoning, perception, and long-context capabilities.
The model supports interleaved text and image inputs, very long context windows (up to roughly 256K tokens), and efficient inference through a mixture-of-experts architecture with about 22B active parameters out of 235B total. In today’s landscape, it competes with top-tier proprietary vision-language models while offering the advantages of open weights and flexible deployment. Typical applications include multimodal assistants, document and image analysis, visual reasoning, and large-context instruction-based workflows.
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.