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Claude Opus 4 vs YOLO World

Compare Claude Opus 4 and YOLO World side-by-side. See how these vision models stack up in Object Detection.

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AnthropicClaude Opus 4

Claude Opus 4 is deprecated and can no longer be run. Details and evals are still available on its model page.

TencentYOLO World
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Models in this comparison

Anthropic
Tencent

Claude Opus 4 vs YOLO World: Overview

Claude Opus 4

Claude 4 Opus, released by Anthropic in May 2025, is the flagship model of the Claude 4 family, built for complex, long-horizon reasoning and advanced coding workflows. It is multimodal, supporting text (including voice), images, and tool use, and operates as a hybrid reasoning model—able to deliver quick answers in fast mode or switch to extended thinking for deeper, multi-step problem solving. With a ~200,000-token context window and a training cutoff around March 2025, it is optimized for handling large documents, long conversations, and sophisticated agentic tasks.

Positioned at the high end of Anthropic’s offerings, Opus 4 achieves state-of-the-art results on coding benchmarks like SWE-Bench (72.5%) and Terminal-Bench (43.2%). It is best suited for research, enterprise automation, and software development at scale. The model is classified at Anthropic’s ASL-3 safety level, denoting advanced oversight and safety features.

YOLO World

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.

Claude Opus 4 vs YOLO World Comparison Table

PropertyClaude Opus 4YOLO World
OrganizationAnthropicTencent AI Lab
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateMay 2025Feb 2024
Context Window200K13.0M
Parameters
LicenseProprietaryGPL v3
Pricing per 1M tokens
Input $/1M$15.00
Output $/1M$75.00
Vision Tasks
Object DetectionDemo
Captioning
Classification
OCR
Open Vocabulary Object Detection
Phrase Grounding
Vision Language
Visual Question Answering
Model Features
Multimodal Vision
Foundation Vision
LLMs with Vision Capabilities
Real-Time Vision
Zero-shot Detection
Vision Evalspass/fail results · 67 prompts
Score key:≥75%40–74%<40%
Visual Understanding
Overall Score
56.72%
Avg Response Time19.74s
Defect Detection
66.7%(10/15)
Document Understanding
88.9%(8/9)
Object Counting
0%(0/10)
Object Understanding
64.3%(9/14)
Spatial Understanding
57.9%(11/19)