HLE (with tools)
HLE (with tools) - Humanity's Last Exam with tool use variant.
Category
STEM & Reasoning
Score type
percent
Scale
100%
higher is better
Models tested
31
What is HLE (with tools)?
Humanity's Last Exam (HLE) is a question set of over 2,500 expert questions from about a hundred domains, designed to be the very edge of human knowledge — created specifically because frontier models had become too good at all existing benchmarks. The score reflects the accuracy of the final answer.
What does it test?
HLE (with tools) measures hard reasoning in science, technology, engineering and math. In detail, it checks:
- extremely difficult interdisciplinary questions
- genuine expert reasoning instead of pattern matching
- compositional thinking across several fields
- accuracy even when guessing would be plausible
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.
Frequently asked questions
What is the HLE (with tools) benchmark?
Humanity's Last Exam (HLE) is a question set of over 2,500 expert questions from about a hundred domains, designed to be the very edge of human knowledge — created specifically because frontier models had become too good at all existing benchmarks. The score reflects the accuracy of the final answer.
What does HLE (with tools) test?
HLE (with tools) mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: extremely difficult interdisciplinary questions; genuine expert reasoning instead of pattern matching; compositional thinking across several fields.
How is the HLE (with tools) 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 HLE (with tools) 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/hle-with-tools/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Benchmark dataset
The question/task data itself — download and evaluate locally
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 31 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 26 |
Ornith-1.0-35B-A3B
Ornith AI
|
30.1%
|
19.08.2026 | Report | Unverified |
| 27 |
Qwen3.6-35B-A3B
Qwen Team (Alibaba Cloud)
|
28.9%
|
19.08.2026 | Report | Unverified |
| 28 |
Gemma-4-31B
Google
|
26.5%
|
19.08.2026 | Report | Unverified |
| 29 |
GPT-OSS-120B
OpenAI
|
19%
|
08.08.2025 | Report | Verified |
| 30 |
GPT-OSS-20B
OpenAI
|
17.3%
|
05.08.2025 | Report | Verified |
| 31 |
LFM3-1.7B
LiquidAI
|
13.9%
|
— | Report | Verified |