Multimodal Benchmark

BLINK

BLINK - multimodal benchmark for visual perception tasks.

Category

Multimodal

Score type

percent

Scale

100%

higher is better

Models tested

5

What is BLINK?

BLINK is a benchmark for handling several input types together (images, documents, text). The official description says: "BLINK - multimodal benchmark for visual perception tasks". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

BLINK measures handling several input types together (images, documents, text). In detail, it checks:

  • questions that mix text with images or document pages
  • reading and extracting information from screenshots and scans
  • understanding layout, titles, logos and figures in real documents
  • staying accurate when the text content alone is not enough

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: BLINK - multimodal benchmark for visual perception tasks.

Frequently asked questions

What is the BLINK benchmark?

BLINK is a benchmark for handling several input types together (images, documents, text). The official description says: 'BLINK - multimodal benchmark for visual perception tasks'. Below we describe in simple words what benchmarks of this type generally examine.

What does BLINK test?

BLINK mainly measures handling several input types together (images, documents, text). Concretely, it checks: questions that mix text with images or document pages; reading and extracting information from screenshots and scans; understanding layout, titles, logos and figures in real documents.

How is the BLINK score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get BLINK data and scores?

The official source is https://arxiv.org/abs/2404.12390. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/blink/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 5 models tested

Reset
# Model Score Date Source Verified
1 LFM3-VL-2B
LiquidAI
71.1%
— Report Verified
2 d1-2B
LiquidAI
66.2%
— LiquidAI/d1-2B model card (performance table) Unverified
3 Gemma 3 27B PT
Google DeepMind
39.6%
27.02.2025 Report Verified
4 Gemma 3 4B PT
Google DeepMind
38%
27.02.2025 Report Verified
5 Gemma 3 12B PT
Google DeepMind
35.9%
27.02.2025 Report Verified

What now?

You've seen how models score on BLINK — here's what to do next.