IMO Shortlist 2024
DeepSeekMath-V2 27% Models write proofs for the 31 problems of the 2024 IMO Shortlist. DeepSeek scores the proofs with its own verifier model.
A one-time problem set, not a maintained benchmark. The IMO publishes each shortlist after the next IMO, here July 2025.
- Released
- July 2025
- Kind
- Written proofs
- Level
- Competition
- Scored
- Graded by a model
- Answers
- Written proof
- Tasks
- All public
- Last in a system card
- November 2025
- Last model added
- November 2025
DeepSeekMath-V2 leads with 27%
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.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | DeepSeekMath-V2 | 27% | Nov 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: 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.
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 |
|---|---|---|---|---|
| Nov 27, 2025 | DeepSeekMath-V2 technical report | 27 | IMO Shortlist 2024 proof score Pass@1 0.27 at 8 max sequential iterations, 0.15 with no refinement, Best@32 0.42, verifier-graded (Figure 2) | Capabilities |
More in Math
- AIME 2026 In use Models solve the 30 integer-answer problems from the 2026 AIME I and II math competitions. Scored by exact answer match. GPT-5.5 100%
- IMO-AnswerBench In use 400 olympiad problems with short verifiable answers, robustified against memorization. Scored by answer match. GLM-5.2 91%
- HMMT 2026 In use Models solve the 33 final-answer problems from the February 2026 Harvard-MIT Mathematics Tournament. Scored by exact answer match. GPT-5.5 98.5%
- PolyMath In use Models solve 9,000 parallel math problems in 18 languages across four difficulty levels, from school math to frontier math. Final answers are checked.
Qwen3.7-Max 86.5% - MathArena (Apex, IMO, USAMO) In use Evaluates models on newly released math competitions after release. Final-answer or human/LLM-judged proof scores. Claude Opus 4.8 81.3%
- MathArena Apex Shortlist In use Models solve 47 hard final-answer problems that MathArena selected from 2025 competitions, where the best models scored about 50% at selection. Scored by accuracy over repeated attempts. GPT-5.5 98.4%