PHYSICS
Models solve 1,297 PhD qualifying exam physics problems across six subfields, 298 of them with images. Answers are checked by symbolic equivalence.
Shanghai AI Lab Intern-S1 reports it as Physics.
- Released
- March 2025
- Kind
- Science questions
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
- o3-mini #124 on the capability index
- Last in a launch post
- July 2025, dropped before it saturated
- Last model added
- August 2025
- Scores refreshed
- November 12th, 2026
In the authors’ words
We introduce Physics, a benchmark for evaluating foundation models on advanced physics problem solving. It contains 1034 annotated, open-ended problems from PhD-qualifying exams across six core physics domains. Solving these problems requires applying domain-specific knowledge to physical setups and carrying out multi-step mathematical reasoning. Each problem includes a worked solution and independently checked reference answers. An LLM-based grading protocol evaluates individual answers and complete multi-part problems, supporting numeric, symbolic, and text responses. We evaluate 53 proprietary and open-weight models. On test problems without figures, high accuracy is concentrated in a small group of thinking models, with the strongest open-weight models approaching proprietary performance. Most open-weight models still solve fewer than half of these problems. Our analysis of Qwen3.5-9B reveals failures in applying physics knowledge and interpreting figures, with misread figures affecting several subquestions.
o3-mini leads with 59.9% among models released by January 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.
o3-mini leads with 59.9%, 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 January 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
- 59.9 o3-mini
- 44.3 DeepSeek-R1 (snapshot unspecified)
- 43.6 o1-mini
- 38.4 Gemini-1.5-pro (snapshot unspecified)
- 36.7 GPT-4o (snapshot unspecified)
- 34.7 Claude-3.5-Sonnet (snapshot unspecified)
- 32.2 Qwen2.5-Math-72B
- 31.5
Llama 3.3 70B
- 29.1
Phi-4
- 28.7
Qwen2.5-72B
- 27.6
Qwen2.5-32B
- 21.8 Mistral-Small-24B
- 20.4
Qwen2.5-7B
- 19.6
Qwen2.5-14B
- 18.3
Gemma 2 27B
- 17.4
Yi-1.5-34B
- 16.4 Qwen2.5-Math-1.5B
- 15.3
InternVL2.5-38B
- 12.9 Aria
- 12.1
QwQ-32B-Preview
- 11.9
Gemma 2 9B
- 11.7 Mistral-7B (snapshot unspecified)
- 11.7
Llama 3.1-8B
- 10.8
Mathstral-7B-v0.1
- 7.00
Command R (03-2024)
- 6.80
DeepSeek-R1-Distill-Qwen-32B
- 6.10 Gemma-2-2b
- 5.00 Qwen2-VL-72B
- 4.80
InternLM3-8B-Instruct
- 1.70
DeepSeek-VL2-Small
- 1.20 THUDM-chatglm3-6b
- 1.00 Qwen2.5-Math-7B
- 0.40 DeepSeek-math-7b-rl
- 1 o3-mini 59.9%
- 2 DeepSeek-R1 (snapshot unspecified) 44.3%
- 3 o1-mini 43.6%
- 4 Gemini-1.5-pro (snapshot unspecified) 38.4%
- 5 GPT-4o (snapshot unspecified) 36.7%
- 6 Claude-3.5-Sonnet (snapshot unspecified) 34.7%
- 7 Qwen2.5-Math-72B 32.2%
- 8
Llama 3.3 70B 31.5%
- 9
Phi-4 29.1%
- 10
Qwen2.5-72B 28.7%
- 11
Qwen2.5-32B 27.6%
- 12 Mistral-Small-24B 21.8%
- 13
Qwen2.5-7B 20.4%
- 14
Qwen2.5-14B 19.6%
- 15
Gemma 2 27B 18.3%
- 16
Yi-1.5-34B 17.4%
- 17 Qwen2.5-Math-1.5B 16.4%
- 18
InternVL2.5-38B 15.3%
- 19 Aria 12.9%
- 20
QwQ-32B-Preview 12.1%
- 21
Gemma 2 9B 11.9%
- 22 Mistral-7B (snapshot unspecified) 11.7%
- 23
Llama 3.1-8B 11.7%
- 24
Mathstral-7B-v0.1 10.8%
- 25
Command R (03-2024) 7.00%
- 26
DeepSeek-R1-Distill-Qwen-32B 6.80%
- 27 Gemma-2-2b 6.10%
- 28 Qwen2-VL-72B 5.00%
- 29
InternLM3-8B-Instruct 4.80%
- 30
DeepSeek-VL2-Small 1.70%
- 31 THUDM-chatglm3-6b 1.20%
- 32 Qwen2.5-Math-7B 1.00%
- 33 DeepSeek-math-7b-rl 0.40%
Source: Official PHYSICS leaderboard
- 59.9 o3-mini
- 44.0
Intern-S1
- 43.6 o1-mini
- 31.5
Llama 3.3 70B
- 29.1
Phi-4
- 28.7
Qwen2.5-72B
- 27.6
Qwen2.5-32B
- 20.4
Qwen2.5-7B
- 19.6
Qwen2.5-14B
- 18.3
Gemma 2 27B
- 17.4
Yi-1.5-34B
- 15.3
InternVL2.5-38B
- 12.9 Aria
- 12.1
QwQ-32B-Preview
- 11.9
Gemma 2 9B
- 11.7
Llama 3.1-8B
- 10.8
Mathstral-7B-v0.1
- 7.00
Command R (03-2024)
- 6.80
DeepSeek-R1-Distill-Qwen-32B
- 4.80
InternLM3-8B-Instruct
- 1.70
DeepSeek-VL2-Small
- 1 o3-mini 59.9%
- 2
Intern-S1 44%
- 3 o1-mini 43.6%
- 4
Llama 3.3 70B 31.5%
- 5
Phi-4 29.1%
- 6
Qwen2.5-72B 28.7%
- 7
Qwen2.5-32B 27.6%
- 8
Qwen2.5-7B 20.4%
- 9
Qwen2.5-14B 19.6%
- 10
Gemma 2 27B 18.3%
- 11
Yi-1.5-34B 17.4%
- 12
InternVL2.5-38B 15.3%
- 13 Aria 12.9%
- 14
QwQ-32B-Preview 12.1%
- 15
Gemma 2 9B 11.9%
- 16
Llama 3.1-8B 11.7%
- 17
Mathstral-7B-v0.1 10.8%
- 18
Command R (03-2024) 7.00%
- 19
DeepSeek-R1-Distill-Qwen-32B 6.80%
- 20
InternLM3-8B-Instruct 4.80%
- 21
DeepSeek-VL2-Small 1.70%
Sources: Official PHYSICS leaderboard and labs’ model cards
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | o3-mini | 59.9% | Jan 2025 | Official leaderboard | |
| 2 | DeepSeek-R1 (snapshot unspecified) | 44.3% | Official leaderboard | ||
| 3 | o1-mini | 43.6% | Sep 2024 | Official leaderboard | |
| 4 | Gemini-1.5-pro (snapshot unspecified) | 38.4% | Official leaderboard | ||
| 5 | GPT-4o (snapshot unspecified) | 36.7% | Official leaderboard | ||
| 6 | Claude-3.5-Sonnet (snapshot unspecified) | 34.7% | Official leaderboard | ||
| 7 | Qwen2.5-Math-72B | 32.2% | Official leaderboard | ||
| 8 | | 31.5% | Dec 2024 | Official leaderboard | |
| 9 | | 29.1% | Dec 2024 | Official leaderboard | |
| 10 | | 28.7% | Sep 2024 | Official leaderboard | |
| 11 | | 27.6% | Sep 2024 | Official leaderboard | |
| 12 | Mistral-Small-24B | 21.8% | Official leaderboard | ||
| 13 | | 20.4% | Sep 2024 | Official leaderboard | |
| 14 | | 19.6% | Sep 2024 | Official leaderboard | |
| 15 | | 18.3% | Jun 2024 | Official leaderboard | |
| 16 | | 17.4% | May 2024 | Official leaderboard | |
| 17 | Qwen2.5-Math-1.5B | 16.4% | Official leaderboard | ||
| 18 | | 15.3% | Dec 2024 | Official leaderboard | |
| 19 | Aria | 12.9% | Sep 2024 | Official leaderboard | |
| 20 | | 12.1% | Nov 2024 | Official leaderboard | |
| 21 | | 11.9% | Jun 2024 | Official leaderboard | |
| 22 | Mistral-7B (snapshot unspecified) | 11.7% | Official leaderboard | ||
| 23 | | 11.7% | Jul 2024 | Official leaderboard | |
| 24 | | 10.8% | Jul 2024 | Official leaderboard | |
| 25 | | 7.00% | Mar 2024 | Official leaderboard | |
| 26 | | 6.80% | Jan 2025 | Official leaderboard | |
| 27 | Gemma-2-2b | 6.10% | Official leaderboard | ||
| 28 | Qwen2-VL-72B | 5.00% | Official leaderboard | ||
| 29 | | 4.80% | Jan 2025 | Official leaderboard | |
| 30 | | 1.70% | Dec 2024 | Official leaderboard | |
| 31 | THUDM-chatglm3-6b | 1.20% | Official leaderboard | ||
| 32 | Qwen2.5-Math-7B | 1.00% | Official leaderboard | ||
| 33 | DeepSeek-math-7b-rl | 0.40% | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | o3-mini | 59.9% | Jan 2025 | Official leaderboard | |
| 2 | | 44% | Jul 2025 | Lab model card | |
| 3 | o1-mini | 43.6% | Sep 2024 | Official leaderboard | |
| 4 | | 31.5% | Dec 2024 | Official leaderboard | |
| 5 | | 29.1% | Dec 2024 | Official leaderboard | |
| 6 | | 28.7% | Sep 2024 | Official leaderboard | |
| 7 | | 27.6% | Sep 2024 | Official leaderboard | |
| 8 | | 20.4% | Sep 2024 | Official leaderboard | |
| 9 | | 19.6% | Sep 2024 | Official leaderboard | |
| 10 | | 18.3% | Jun 2024 | Official leaderboard | |
| 11 | | 17.4% | May 2024 | Official leaderboard | |
| 12 | | 15.3% | Dec 2024 | Official leaderboard | |
| 13 | Aria | 12.9% | Sep 2024 | Official leaderboard | |
| 14 | | 12.1% | Nov 2024 | Official leaderboard | |
| 15 | | 11.9% | Jun 2024 | Official leaderboard | |
| 16 | | 11.7% | Jul 2024 | Official leaderboard | |
| 17 | | 10.8% | Jul 2024 | Official leaderboard | |
| 18 | | 7.00% | Mar 2024 | Official leaderboard | |
| 19 | | 6.80% | Jan 2025 | Official leaderboard | |
| 20 | | 4.80% | Jan 2025 | Official leaderboard | |
| 21 | | 1.70% | Dec 2024 | Official leaderboard |
Labs report scores for 1 model in their cards. Switch the scores above to rank them together.
Number one over time Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official PHYSICS 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 PHYSICS leaderboard and labs’ model cards
No launch post has listed it since July 2025
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 |
|---|---|---|---|
| Jul 24, 2025 | 44 | Physics |
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 |
|---|---|---|---|---|
| Aug 21, 2025 | | 44 | Physics, PHYSICS by Feng et al. (Table 4) | Capabilities |
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Source: Official leaderboards
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%