Benchmark Almanac

ArXivLean

Claude Opus 5.5 47.2% leads since Sep 2026 Only in system cards

Models prove or disprove theorems from recent arXiv papers, stated in Lean 4. A strict comparator checks each submitted proof against the fixed reference statement.

The first set held 41 theorems from March 2026 papers, and the best systems proved about 17 percent. Later sets came in June and September 2026.

Made by MathArena (ETH Zurich SRI Lab and INSAIT) Released Apr 2026 Formal proofs All tasks public Last in a system card Jul 2026 Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
Research frontier Researchers, on open problems or tasks that take days
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Written proof
7
Models scored on its own leaderboard
1
System card reports it, from 1 lab

Claude Opus 5.5 leads with 47.2%

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.

  1. 1 Claude Opus 5.5 high 47.2%
  2. 2 Gemini 4 Argon 39.6%
  3. 3 GPT-6 Astra max 37.7%
  4. 4 GPT-6.1 Sol max 35.9%
  5. 5 Kimi K3.1 Pro 17%
  6. 6 DeepSeek V4.1 Flash max 5.66%
  7. 7 Qwen3.8-2.4T-A95B 1.89%
#ModelScoreSettingDateSource
1 Claude Opus 5.5 47.2% high Sep 2026 Official leaderboard
2 Gemini 4 Argon 39.6% Sep 2026 Official leaderboard
3 GPT-6 Astra 37.7% max Sep 2026 Official leaderboard
4 GPT-6.1 Sol 35.9% max Sep 2026 Official leaderboard
5 Kimi K3.1 Pro 17% Oct 2026 Official leaderboard
6 DeepSeek V4.1 Flash 5.66% max Sep 2026 Official leaderboard
7 Qwen3.8-2.4T-A95B 1.89% Aug 2026 Official leaderboard

Labs report scores for 1 model in their cards. We plot every source in the charts below.

3 models have held number one since its release in Apr 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

Qwen OpenAI Anthropic
Own leaderboard 3 leaders

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% 2027 Near the ceiling (85%) Claude Opus 5.5 GPT-6 Astra Leanstral 1.5 0% 20% 40% 60% 80% 100% 2027 Near the ceiling (85%) Claude Opus 5.5 GPT-6 Astra

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 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.

DateDocumentScoreAs the document writes itSection
2 Jul 2026 Leanstral 1.5 technical report 17.1 ArXivLean, 7 of 41 problems (3.1.4) Capabilities

More in Math

All 105 in Math
  • IMO-AnswerBench In use 400 olympiad problems with short verifiable answers, robustified against memorization. Scored by answer match. GLM-5.2 91%
  • 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%
  • 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%
  • 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%
  • 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%
  • USAMO 2026 In use Models write full proofs for the six problems of the 2026 USA Mathematical Olympiad. Judges grade each proof from 0 to 7 against rubrics. GPT-5.5 98.2%