FrontierScience
Models solve physics, chemistry, and biology problems in an Olympiad track graded by short answer and a Research track graded by 10-point rubrics.
OpenAI released 160 questions (100 Olympiad, 60 Research) and holds the rest out to track contamination. Labs usually report the two tracks apart, which the frontierscience-olympiad and frontierscience-research records cover.
- Made by
- OpenAI
- Released
- December 2025
- Kind
- Research science
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- Public, plus a private test set
- Last in a launch post
- November 2026
- Last model added
- November 2026
In the authors’ words
We introduce FrontierScience, a benchmark evaluating expert-level scientific reasoning in frontier language models. Recent model progress has nearly saturated existing science benchmarks, which often rely on multiple-choice knowledge questions or already published information. FrontierScience addresses this gap through two complementary tracks: (1) Olympiad, consisting of international olympiad problems at the level of IPhO, IChO, and IBO, and (2) Research, consisting of PhD-level, open-ended problems representative of sub-tasks in scientific research. FrontierScience contains several hundred questions (including 160 in the open-sourced gold set) covering subfields across physics, chemistry, and biology, from quantum electrodynamics to synthetic organic chemistry. All Olympiad problems are originally produced by international Olympiad medalists and national team coaches to ensure standards of difficulty, originality, and factuality. All Research problems are research sub-tasks written and verified by PhD scientists (doctoral candidates, postdoctoral researchers, or professors). For Research, we introduce a granular rubric-based evaluation framework to assess model capabilities throughout the process of solving a research task, rather than judging only a standalone final answer.
Intern-S2-397B leads with 87%
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.
- 1
Intern-S2-397B 87%
- 2
LongCat-2.5 77%
- 3
Seed2.1 Pro 75%
- 4
Seed2.0 Pro 74%
- 5
Seed2.0 Lite (0428) 72%
- 6
Tencent Hy3 preview 70%
- 7
MAI-Code-1-Flash 58.2%
- 8
Tencent Hy3 48.1%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 87% | Sep 2026 | Lab model card | |
| 2 | | 77% | Nov 2026 | Lab model card | |
| 3 | | 75% | Jun 2026 | Lab model card | |
| 4 | | 74% | Feb 2026 | Lab model card | |
| 5 | | 72% | Apr 2026 | Lab model card | |
| 6 | | 70% | Apr 2026 | Lab model card | |
| 7 | | 58.2% | Jun 2026 | Lab model card | |
| 8 | | 48.1% | Jul 2026 | Lab model card |
3 models have held number one in labs’ own numbers since its release in December 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Shanghai AI Lab’s own number for Intern-S2-397B passed 85% in September 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
5 labs put it in a launch post in the last six months
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 |
|---|---|---|---|
| Nov 2, 2026 | 77 | FrontierScience | |
| Sep 13, 2026 | 87 | FrontierScience-Olympiad 87.00 (FrontierScience-Research 55.00) | |
| Jul 2, 2026 | 48.1 | Mean of FrontierScience-Research 21.3 / FrontierScience-Olympiad 74.8 | |
| Jun 23, 2026 | 75 | FrontierScience-Olympiad | |
| Jun 2, 2026 | 58.2 | Frontier Science | |
| Apr 28, 2026 | 72 | FrontierSci-olympiad | |
| Apr 23, 2026 | 70 | FrontierScience Olympiad | |
| Feb 14, 2026 | 74 | FrontierSci-olympiad 74.0 (FrontierSci-research 25.0) |
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 |
|---|---|---|---|---|
| Jun 2, 2026 | | 58.2 | Frontier Science, Acc (Core reasoning table) | Capabilities |
More in Science and reasoning
- GPQA Diamond In use 198 graduate-level 'Google-proof' multiple-choice questions in biology, chemistry and physics.
Gemini 4 Carbon 96.5%
- Terminal-Bench-Science In use 70 scientific research-workflow tasks across five science areas, run in Harbor containers. Hidden tests give the resolution rate. GPT-6 Astra 68.1%
- BioMysteryBench In use Bioinformatics problems on anonymized real datasets that require real analysis with tools. Rubric-graded, with human-solvable and human-difficult splits. Claude Fable 5.2 83.7%
- HiPhO In use Models solve theory problems from 2024 and 2025 physics olympiad exams, some with diagrams. Official marking schemes grade answers and steps, mapped to medal levels.
Gemini 3 Pro 78.3%
- LABBench2 In use 11 biology research sub-tasks (literature, figures, tables, patents, trials and more) with tool access. Macro-averaged accuracy. GPT-5.2 60.9%
- SGI-Bench In use Models work through more than 1,000 expert samples in four scientist tasks: deep research, idea generation, dry and wet experiments, and experimental reasoning.
Gemini 3 Pro 33.8%