Benchmark Almanac

PHYSICS

o3-mini 59.9% leads since March 2025
o3-mini 59.9% leads since March 2025
Dropped

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.

Abstract of Physics: Benchmarking Foundation Models on University-Level Physics Problem Solving (arXiv:2503.21821, CC0)
33
Entries on its own leaderboard, 20 models we track
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

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:

  1. 1 o3-mini 59.9%
  2. 2 DeepSeek-R1 (snapshot unspecified) 44.3%
  3. 3 o1-mini 43.6%
  4. 4 Gemini-1.5-pro (snapshot unspecified) 38.4%
  5. 5 GPT-4o (snapshot unspecified) 36.7%
  6. 6 Claude-3.5-Sonnet (snapshot unspecified) 34.7%
  7. 7 Qwen2.5-Math-72B 32.2%
  8. 8 Llama 3.3 70B 31.5%
  9. 9 Phi-4 29.1%
  10. 10 Qwen2.5-72B 28.7%
  11. 11 Qwen2.5-32B 27.6%
  12. 12 Mistral-Small-24B 21.8%
  13. 13 Qwen2.5-7B 20.4%
  14. 14 Qwen2.5-14B 19.6%
  15. 15 Gemma 2 27B 18.3%
  16. 16 Yi-1.5-34B 17.4%
  17. 17 Qwen2.5-Math-1.5B 16.4%
  18. 18 InternVL2.5-38B 15.3%
  19. 19 Aria 12.9%
  20. 20 QwQ-32B-Preview 12.1%
  21. 21 Gemma 2 9B 11.9%
  22. 22 Mistral-7B (snapshot unspecified) 11.7%
  23. 23 Llama 3.1-8B 11.7%
  24. 24 Mathstral-7B-v0.1 10.8%
  25. 25 Command R (03-2024) 7.00%
  26. 26 DeepSeek-R1-Distill-Qwen-32B 6.80%
  27. 27 Gemma-2-2b 6.10%
  28. 28 Qwen2-VL-72B 5.00%
  29. 29 InternLM3-8B-Instruct 4.80%
  30. 30 DeepSeek-VL2-Small 1.70%
  31. 31 THUDM-chatglm3-6b 1.20%
  32. 32 Qwen2.5-Math-7B 1.00%
  33. 33 DeepSeek-math-7b-rl 0.40%

Source: Official PHYSICS leaderboard

#EntryScoreSettingDateSource
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 Llama 3.3 70B 31.5% Dec 2024 Official leaderboard
9 Phi-4 29.1% Dec 2024 Official leaderboard
10 Qwen2.5-72B 28.7% Sep 2024 Official leaderboard
11 Qwen2.5-32B 27.6% Sep 2024 Official leaderboard
12 Mistral-Small-24B 21.8% Official leaderboard
13 Qwen2.5-7B 20.4% Sep 2024 Official leaderboard
14 Qwen2.5-14B 19.6% Sep 2024 Official leaderboard
15 Gemma 2 27B 18.3% Jun 2024 Official leaderboard
16 Yi-1.5-34B 17.4% May 2024 Official leaderboard
17 Qwen2.5-Math-1.5B 16.4% Official leaderboard
18 InternVL2.5-38B 15.3% Dec 2024 Official leaderboard
19 Aria 12.9% Sep 2024 Official leaderboard
20 QwQ-32B-Preview 12.1% Nov 2024 Official leaderboard
21 Gemma 2 9B 11.9% Jun 2024 Official leaderboard
22 Mistral-7B (snapshot unspecified) 11.7% Official leaderboard
23 Llama 3.1-8B 11.7% Jul 2024 Official leaderboard
24 Mathstral-7B-v0.1 10.8% Jul 2024 Official leaderboard
25 Command R (03-2024) 7.00% Mar 2024 Official leaderboard
26 DeepSeek-R1-Distill-Qwen-32B 6.80% Jan 2025 Official leaderboard
27 Gemma-2-2b 6.10% Official leaderboard
28 Qwen2-VL-72B 5.00% Official leaderboard
29 InternLM3-8B-Instruct 4.80% Jan 2025 Official leaderboard
30 DeepSeek-VL2-Small 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
#ModelScoreSettingDateSource
1 o3-mini 59.9% Jan 2025 Official leaderboard
2 Intern-S1 44% Jul 2025 Lab model card
3 o1-mini 43.6% Sep 2024 Official leaderboard
4 Llama 3.3 70B 31.5% Dec 2024 Official leaderboard
5 Phi-4 29.1% Dec 2024 Official leaderboard
6 Qwen2.5-72B 28.7% Sep 2024 Official leaderboard
7 Qwen2.5-32B 27.6% Sep 2024 Official leaderboard
8 Qwen2.5-7B 20.4% Sep 2024 Official leaderboard
9 Qwen2.5-14B 19.6% Sep 2024 Official leaderboard
10 Gemma 2 27B 18.3% Jun 2024 Official leaderboard
11 Yi-1.5-34B 17.4% May 2024 Official leaderboard
12 InternVL2.5-38B 15.3% Dec 2024 Official leaderboard
13 Aria 12.9% Sep 2024 Official leaderboard
14 QwQ-32B-Preview 12.1% Nov 2024 Official leaderboard
15 Gemma 2 9B 11.9% Jun 2024 Official leaderboard
16 Llama 3.1-8B 11.7% Jul 2024 Official leaderboard
17 Mathstral-7B-v0.1 10.8% Jul 2024 Official leaderboard
18 Command R (03-2024) 7.00% Mar 2024 Official leaderboard
19 DeepSeek-R1-Distill-Qwen-32B 6.80% Jan 2025 Official leaderboard
20 InternLM3-8B-Instruct 4.80% Jan 2025 Official leaderboard
21 DeepSeek-VL2-Small 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.

OpenAI
Own leaderboard Not tested since Mar 2025
o3-mini 59.9%

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.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2024 2025 Near the ceiling (85%) o3-mini o1-mini Gemma 2 27B Command R (03-2024) 0% 20% 40% 60% 80% 100% 2024 2025 Near the ceiling (85%) o3-mini o1-mini

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.

Shanghai AI Lab
DateLaunch postScoreAs the post writes it
Jul 24, 2025 Intern-S1 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.

DateDocumentScoreAs the document writes itSection
Aug 21, 2025 Intern-S1 technical report 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.

OpenAI
PHYSICS-Verified Passed 85% in Sep 2026, by GPT-5.6 Sol
GPT-6 Astra 91.1%
PHYSICS Not tested since Mar 2025
o3-mini 59.9%
PHYSICS-Verified Passed 85% in Sep 2026, by GPT-5.6 Sol
GPT-6 Astra 91.1%

Source: Official leaderboards

More in Science and reasoning

All 92 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%