LLM Stats (ODinW): leaderboard

Object Detection in the Wild — 35 datasets of diverse real-world object detection tasks spanning aerial imagery, medical scans, and everyday scenes.

Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around 2030. 16 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.6 Plus51.8#120
2Qwen 3.7 Plus51.1#92
3Qwen 3.6 35B A3B50.8#226
4Qwen 3 VL 235B A22B Instruct48.6#273
5Qwen 3 VL 4B Instruct48.2#515
6Qwen 3 VL 30B A3B Instruct47.5#384
7Qwen 3 VL 32B Instruct46.6#283
8Qwen 3 VL 8B Instruct44.7#420
9Qwen 3.5 122B A10B44.5#173
10Qwen 3 VL 235B A22B (Thinking)43.2#238 (Qwen 3 VL 235B A22B)
11Qwen 3.5 35B A3B42.6#256
12Qwen2.5-Omni-7B42.4#624
13Qwen 3 VL 30B A3B (Thinking)42.3#351 (Qwen 3 VL 30B A3B)
14Qwen 3.5 27B41.1#187
15Qwen 3 VL 8B (Thinking)39.8

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=llm-stats-odinw · How It Works · Data refreshed daily, snapshot 2026-10-20.