Vision & Language Benchmark

SLAKE

SLAKE - medical visual question answering benchmark using radiology images.

Category

Vision & Language

Score type

percent

Scale

relative

higher is better

Models tested

5

What is SLAKE?

SLAKE is a benchmark for understanding images combined with text. The official description says: "SLAKE - medical visual question answering benchmark using radiology images". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

SLAKE measures understanding images combined with text. In detail, it checks:

  • answering questions about images (figures, photos, charts, memes)
  • reading text inside images and connecting it to the question
  • visual reasoning such as counting, locating and comparing objects
  • combining what is seen with general knowledge

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: SLAKE - medical visual question answering benchmark using radiology images.

Frequently asked questions

What is the SLAKE benchmark?

SLAKE is a benchmark for understanding images combined with text. The official description says: 'SLAKE - medical visual question answering benchmark using radiology images'. Below we describe in simple words what benchmarks of this type generally examine.

What does SLAKE test?

SLAKE mainly measures understanding images combined with text. Concretely, it checks: answering questions about images (figures, photos, charts, memes); reading text inside images and connecting it to the question; visual reasoning such as counting, locating and comparing objects.

How is the SLAKE score calculated?

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

Where do I get SLAKE data and scores?

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/slake/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 Qwen3.5-122B-A10B
Qwen Team (Alibaba Cloud)
81.6%
01.02.2026 Report Verified
2 Qwen3.5-27B
Qwen Team (Alibaba Cloud)
80%
01.02.2026 Report Unverified
3 Qwen3.5-35B-A3B
Qwen Team (Alibaba Cloud)
78.7%
01.02.2026 Report Unverified
4 Qwen3.5-4B
Qwen
76.1%
01.02.2026 Report Verified
5 Qwen3-235B-A22B
Qwen Team (Alibaba Cloud)
54.7%
01.02.2026 Report Unverified

What now?

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