HLE-VL
Qwen 3.8 Max 52.2% leads since Aug 2026 Fading Models answer the image-based questions from Humanity's Last Exam, a 330 question subset. Answers are graded against known short or multiple choice answers.
Qwen reports it with tools, so its scores are not comparable with no-tool HLE runs.
- Level
- Expert Specialists with years of training, often over hours of work
- 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 52.2% 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 52.2%
- 2
Seed2.0 Pro 39.2% - 3 Seed1.8 31.5%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Qwen 3.8 Max | 52.2% | Aug 2026 | Model card | |
| 2 | Seed2.0 Pro | 39.2% | Feb 2026 | Model card | |
| 3 | Seed1.8 | 31.5% | Dec 2025 | Model card |
3 models have held number one since its release in Aug 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
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 | 52.2 | HLE-VL (w/ Tools) |
| 14 Feb 2026 | Seed2.0 Pro | 39.2 | HLE-VL |
| 18 Dec 2025 | Seed1.8 | 31.5 | HLE-VL |
2 system cards report it, from 1 lab
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 |
|---|---|---|---|---|
| 21 Mar 2026 | Seed1.8 model card | 17.3 | HLE vision subset, no tool (Table 7). HLE-VL visual search 31.5 (Table 4) | Capabilities |
| 14 Feb 2026 | Seed2.0 Pro model card | 39.2 | HLE-VL (Table 11) | Capabilities |
More in Vision
- MMMU In use 11.5K college-level multimodal questions across 30 subjects. Multiple-choice and open accuracy. GPT-5.1 85.4%
- MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. Kimi K3.1 Pro 84.1%
- CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
- MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy. Qwen 3.8 Max 97.7%
- ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance.
Command A Vision 90.9% - DocVQA In use Models answer 50,000 questions about 12,000 scanned document images by reading their text and layout. Scoring is ANLS, a string similarity to reference answers. Seed1.5-VL 96.9%