LLM Stats (BLINK): leaderboard

14 visual perception tasks humans solve in a 'blink' but multimodal LLMs struggle with, testing core visual abilities like depth estimation and spatial reasoning.

Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around January 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Seed 2.1 Pro81.4#67
2Seed 2.1 Turbo79.4#86
3Seed 1.874.3#139
4Seed 2.0 Mini73.4#276
5Qwen 3 VL 235B A22B Instruct70.7#273
6Qwen 3 VL 8B Instruct69.1#420
7Qwen 3 VL 8B (Thinking)68.7
8Qwen 3 VL 32B (Thinking)68.5#294 (Qwen 3 VL 32B)
9Qwen 3 VL 30B A3B Instruct67.7#384
10Qwen 3 VL 32B Instruct67.3#283
11Qwen 3 VL 235B A22B (Thinking)67.1#238 (Qwen 3 VL 235B A22B)
12Qwen 3 VL 4B Instruct65.8#515
13Qwen 3 VL 30B A3B (Thinking)65.4#351 (Qwen 3 VL 30B A3B)
14Qwen 3 VL 4B (Thinking)63.4#480 (Qwen 3 VL 4B)
15Phi-4 Multimodal Instruct61.3#906

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-blink · How It Works · Data refreshed daily, snapshot 2026-10-20.