FrontierScience-Olympiad
Models solve olympiad-style physics, chemistry and biology problems at the level of IPhO, IChO and IBO, written by medalists and coaches. Graded on short final answers.
The Olympiad track of FrontierScience. The open gold set has 100 Olympiad problems. Labs report it apart from the Research track, with much higher scores.
- Made by
- OpenAI
- Released
- December 2025
- Kind
- Science olympiads
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Public, plus a private test set
- Strongest model tested
- GPT-5.2 #50 on the capability index
- Last in a system card
- June 2026
- Last model added
- June 2026
- Scores refreshed
- November 12th, 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.
GPT-5.2 leads with 77.1% among models released by December 2025
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
GPT-5.2 leads with 77.1%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
The newest model with a score here came out in December 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 GPT-5.2 xhigh 77.1%
- 2
Gemini 3 Pro 76.1%
- 3 Claude Opus 4.5 71.3%
- 4 Grok 4 66.2%
- 5 o3 high 63%
- 6 o4-mini 61.6%
- 7 o1 42.5%
- 8 GPT-4o (snapshot unspecified) 12.3%
Source: Official FrontierScience-Olympiad leaderboard
- 1 GPT-5.2 xhigh 77.1%
- 2
Gemini 3 Pro 76.1%
- 3
Seed2.1 Pro 75%
- 4
Seed2.0 Pro 74%
- 5 Claude Opus 4.5 71.3%
- 6 Grok 4 66.2%
- 7 o3 high 63%
- 8 o4-mini 61.6%
- 9 o1 42.5%
Sources: Official FrontierScience-Olympiad leaderboard and labs’ model cards
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.2 | 77.1% | xhigh | Dec 2025 | Official leaderboard |
| 2 | | 76.1% | Nov 2025 | Official leaderboard | |
| 3 | Claude Opus 4.5 | 71.3% | Nov 2025 | Official leaderboard | |
| 4 | Grok 4 | 66.2% | Jul 2025 | Official leaderboard | |
| 5 | o3 | 63% | high | Apr 2025 | Official leaderboard |
| 6 | o4-mini | 61.6% | Apr 2025 | Official leaderboard | |
| 7 | o1 | 42.5% | Dec 2024 | Official leaderboard | |
| 8 | GPT-4o (snapshot unspecified) | 12.3% | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.2 | 77.1% | xhigh | Dec 2025 | Official leaderboard |
| 2 | | 76.1% | Nov 2025 | Official leaderboard | |
| 3 | | 75% | Jun 2026 | Lab model card | |
| 4 | | 74% | Feb 2026 | Lab model card | |
| 5 | Claude Opus 4.5 | 71.3% | Nov 2025 | Official leaderboard | |
| 6 | Grok 4 | 66.2% | Jul 2025 | Official leaderboard | |
| 7 | o3 | 63% | high | Apr 2025 | Official leaderboard |
| 8 | o4-mini | 61.6% | Apr 2025 | Official leaderboard | |
| 9 | o1 | 42.5% | Dec 2024 | Official leaderboard |
Labs report scores for 2 models in their cards. Switch the scores above to rank them together.
2 models have held number one on the official leaderboard since its release in December 2025 2 models have held number one with claims included since its release in December 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official FrontierScience-Olympiad leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official FrontierScience-Olympiad leaderboard and labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
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 |
|---|---|---|---|---|
| Jun 23, 2026 | | 75 | FrontierScience-Olympiad (Table 11) | Capabilities |
| Feb 14, 2026 | | 74 | FrontierSci-olympiad (Table 3) | 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%
- FrontierScience In use Models solve physics, chemistry, and biology problems in an Olympiad track graded by short answer and a Research track graded by 10-point rubrics.
Intern-S2-397B 87%
- 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%