Benchmark Almanac

QuantBench

o1 60% leads since Dec 2024 Only in system cards

Models answer 25 multiple choice versions of quant trading firm reasoning puzzles. Scored as cons@16 accuracy.

OpenAI contextual evaluation. Questions come from competitions run by firms such as Jane Street.

Made by OpenAI Released Sep 2024 Competition problems with answers Tasks kept private Last in a system card Dec 2024 Last model added Dec 2024
Level
Competition The strongest students, in olympiad-style contests
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Multiple choice
3
Models scored in lab cards
3
System cards report it, from 1 lab

o1 leads with 60% among models released by Dec 2024

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.

The newest model with a score here came out in Dec 2024, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 o1 60%
  2. 2 o1-mini 48%
  3. 3 o1-preview 36%
#ModelScoreSettingDateSource
1 o1 60% Dec 2024 Model card
2 o1-mini 48% Sep 2024 Model card
3 o1-preview 36% Sep 2024 Model card

2 models have held number one since its release in Sep 2024

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

OpenAI
Lab claims Not tested since Dec 2024
o1 60%

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) o1 o1-mini 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) o1 o1-mini

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.

3 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.

DateDocumentScoreAs the document writes itSection
5 Dec 2024 o1 system card 60 QuantBench, cons@16, o1 (post-mitigation), printed chart label (8.3) Capabilities
12 Sep 2024 o1-preview system card 36 QuantBench: Multiple-Choice, pass rate cons@16, o1-preview (post-mitigation), printed chart label (8.5) Capabilities
12 Sep 2024 o1-mini system card 48 QuantBench: Multiple-Choice, pass rate cons@16, o1-mini (post-mitigation), printed chart label (8.5) 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%