BLINK
BLINK: Multimodal Large Language Models Can See but Not Perceive. A benchmark for multimodal language models focusing on core visual perception abilities. Reformats 14 classic computer vision tasks into 3,807 multiple-choice questions paired with single or multiple images and visual prompting. Tasks include relative depth estimation, visual correspondence, forensics detection, multi-view reasoning, counting, object localization, and spatial reasoning that humans can solve 'within a blink'.
Qwen3 VL 235B A22B Instruct from Alibaba Cloud / Qwen Team currently leads the BLINK leaderboard with a score of 0.707 across 11 evaluated AI models.
Qwen3 VL 235B A22B Instruct leads with 70.7%, followed by Qwen3 VL 8B Instruct at 69.1% and Qwen3 VL 8B Thinking at 68.7%.
Progress Over Time
Interactive timeline showing model performance evolution on BLINK
BLINK Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | 236B | 262K | $0.30 / $1.49 | ||
| 2 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.08 / $0.50 | ||
| 3 | Alibaba Cloud / Qwen Team | 9B | 262K | $0.18 / $2.09 | ||
| 4 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 5 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 6 | Alibaba Cloud / Qwen Team | 33B | — | — | ||
| 7 | Alibaba Cloud / Qwen Team | 236B | 262K | $0.45 / $3.49 | ||
| 8 | Alibaba Cloud / Qwen Team | 4B | 262K | $0.10 / $0.60 | ||
| 9 | Alibaba Cloud / Qwen Team | 31B | — | — | ||
| 10 | Alibaba Cloud / Qwen Team | 4B | 262K | $0.10 / $1.00 | ||
| 11 |  Microsoft | 6B | — | — |
FAQ
Common questions about BLINK.
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