SLAKE
Qwen 3.8 Max 90.8% leads since Aug 2026 Fading Models answer English and Chinese questions about radiology images of the head, neck, chest, abdomen, and pelvis. Scoring is accuracy.
The authors say the released data was cleaned and may differ slightly from the paper.
In the authors’ words
Medical visual question answering (Med-VQA) has tremendous potential in healthcare. However, the development of this technology is hindered by the lacking of publicly-available and high-quality labeled datasets for training and evaluation. In this paper, we present a large bilingual dataset, SLAKE, with comprehensive semantic labels annotated by experienced physicians and a new structural medical knowledge base for Med-VQA. Besides, SLAKE includes richer modalities and covers more human body parts than the currently available dataset. We show that SLAKE can be used to facilitate the development and evaluation of Med-VQA systems. The dataset can be downloaded from http://www.med-vqa.com/slake.
- Level
- University Undergraduates and entry-level professionals
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Short answer A number, word or short string matched to a key.
Qwen 3.8 Max leads with 90.8% among models released by Aug 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Aug 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 Qwen 3.8 Max 90.8%
- 2 Qwen3.5-Omni-Plus 84.7%
- 3 Qwen3.5-122B-A10B 81.6%
- 4 Qwen3.5 397B-A17B 79.9%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen 3.8 Max | 90.8% | Aug 2026 | Model card | |
| 2 | Qwen3.5-Omni-Plus | 84.7% | Mar 2026 | Model card | |
| 3 | Qwen3.5-122B-A10B | 81.6% | Feb 2026 | Model card | |
| 4 | Qwen3.5 397B-A17B | 79.9% | Feb 2026 | Model card |
4 models have held number one since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
The best score passed 85% in Aug 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs headline it less often now, last in Aug 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 3 Aug 2026 | Qwen 3.8 Max | 90.8 | SLAKE |
| 30 Mar 2026 | Qwen3.5-Omni-Plus | 84.7 | SLAKE |
| 24 Feb 2026 | Qwen3.5-122B-A10B | 81.6 | SLAKE |
| 16 Feb 2026 | Qwen3.5 397B-A17B | 79.9 | SLAKE |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 17 Apr 2026 | Qwen3.5-Omni-Plus technical report | 84.7 | SLAKE (Table 6) | Health |
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